Statistisk analys Jobs

My current research applies neural-network models to computational research, and I want to elevate it to a publishable, high-impact journal submission. The technical groundwork is in place—data collected, models built in PyTorch—but I need a seasoned, PhD-level mind to refine the methodology, strengthen the theoretical framing, and share full co-authorship on all resulting publications. ------- Money is not a motivation in this project You would collaborate with me on each stage of the writing cycle: sharpening the literature review, validating the experimental design, running supplementary analyses, and polishing the final text to meet journal standards in computational biology and AI. Because I’m planning a series of follow-up studies, I’m looking for a long-ter...

I am looking for a freelancer to develop a functional model for predicting NFL game outcomes for against the spread and the total scores, covering both the regular season and playoffs. The model should aim for at least 55% accuracy and be designed for easy updates over time. Ideal candidates will have experience in sports analytics, machine learning, and predictive modeling.

I have a set of historical sales records—dates, units sold, revenue and a few categorical fields—that now need to drive reliable forecasts for the next two quarters. Your task is to clean the data, explore it for seasonality or anomalies, and then build a forecasting model that produces both point estimates and a visual projection of likely ranges. You may work in Python (pandas, statsmodels, Prophet), R, or even Excel/Power Query if you can justify the approach; what matters is a clear, reproducible pipeline. Along the way I expect concise commentary on assumptions, feature engineering steps and the accuracy metrics you use to evaluate performance. When you apply, attach a detailed project proposal: outline the methods you would test (e.g., ARIMA, exponential smoothing, mach...

I have a set of historical sales records—dates, units sold, revenue and a few categorical fields—that now need to drive reliable forecasts for the next two quarters. Your task is to clean the data, explore it for seasonality or anomalies, and then build a forecasting model that produces both point estimates and a visual projection of likely ranges. You may work in Python (pandas, statsmodels, Prophet), R, or even Excel/Power Query if you can justify the approach; what matters is a clear, reproducible pipeline. Along the way I expect concise commentary on assumptions, feature engineering steps and the accuracy metrics you use to evaluate performance. When you apply, attach a detailed project proposal: outline the methods you would test (e.g., ARIMA, exponential smoothing, mach...

Saya sedang mencari seorang profesional di bidang Teknologi Informasi yang berfokus pada Analisis Data. Tugas utama Anda adalah membantu saya mengolah beragam set data lalu menerjemahkannya menjadi wawasan bisnis yang jelas dan dapat ditindaklanjuti. Ruang lingkup pekerjaan meliputi: • Menyusun pipeline analisis untuk membersihkan, menggabungkan, dan merapikan data mentah. • Menjalankan eksplorasi statistik guna mengidentifikasi pola, anomali, serta faktor-faktor kunci. • Menyajikan hasil dalam format visual yang mudah dipahami—grafik interaktif, dashboard, atau laporan ringkas. Saya sangat menghargai ketelitian, dokumentasi kode yang rapi (Python/R atau platform serupa), serta kemampuan menjelaskan temuan secara singkat namun padat. Jika Anda pernah mengerjaka...

I need a detailed wind resource assessment. The project requires: - Detailed wind resource maps - Energy yield estimation reports - Site suitability analysis reports Ideal candidates should have: - Proven experience in wind resource assessments - Expertise in generating detailed wind resource maps - Ability to provide accurate energy yield estimations - Skills in conducting thorough site suitability analyses Please include past work in your application.

I have a set of regularly-updated Excel/CSV files and I need them transformed into a single, interactive Power BI dashboard that spotlights customer sales trends, demographic break-downs, and behavior patterns. Here’s the flow I have in mind: the raw files drop into a shared folder each evening, Power BI pulls them in automatically, refreshes every day, and presents clean visuals that let me slice performance by age group, region, purchase channel, and any other attributes already stored in the spreadsheets. Sales curves, retention funnels, cohort analyses—anything that helps me read where revenue is surging or slipping and why—should be easy to see at a glance. To make hand-off smooth, I’ll need the finished .pbix file, a short write-up of the data model, and cl...

Market Research – PVC Pipes & Fittings in Nigeria I need live market research on the ground with proper proof of travelling. We are seeking a skilled freelancer to conduct market research for our PVC pipes and fittings in Nigeria. The ideal candidate will have experience in market research and data analysis, with the ability to provide insights into market trends and consumer behavior. The project involves gathering and analyzing data to understand the competitive landscape and identify potential opportunities for growth. If you have a strong background in market research and are familiar with the Nigerian market, we would love to hear from you. Market Research Scope – PVC Pipes & Fittings (Nigeria) Products: UPVC, CPVC, SWR, PVC AGRI PIPES AND FITTINGS T...

I need to turn two raw datasets—sales and customer records—into a clean, insight-packed dashboard. Start by profiling the data in Excel or SQL, removing duplicates, filling or flagging missing values, and standardising every date, currency and categorical field so the tables can join cleanly. With trustworthy data in place, build an end-to-end Power BI model: set relationships, create calculated columns and DAX measures, and surface the KPIs that drive our decisions (revenue trends, customer lifetime value, churn, product mix, regional performance). The visuals should be interactive, with slicers that let managers move from an executive overview down to line-item detail. Quick exploratory charts in Excel are welcome, but the final, shareable report must live in Power BI. Deli...

I need a concise descriptive analysis of the data currently stored in my relational database. The tables are already structured and populated; what I lack is a clear, statistics-driven snapshot that highlights key totals, averages, distributions, and any obvious trends or anomalies. You’ll connect directly to the database (credentials supplied after award) and: • explore table relationships and data quality, • run summary statistics and frequency counts, • create straightforward visualizations—think bar plots, histograms, heat-maps—that quickly communicate the story behind the numbers, • package everything into a short, well-commented Jupyter Notebook (or SQL script plus slides, if you prefer) so I can reproduce the results at any time. Plea...

I have a structured customer-level dataset and the central aim is to turn it into a reliable predictor of future purchase behavior. The work revolves entirely around outcome prediction, not trend-spotting or process optimization, so every step—from cleaning the raw customer records to validating the finished model—should directly support that goal. Here is the flow I envision: • Data preparation: handle missing values, engineer features that truly influence buying decisions, and document every transformation in clear, reproducible code (Python, R, or SQL—whichever you prefer). • Model development: test several supervised learning techniques, benchmark them with appropriate metrics (AUC, precision-recall, or another mutually agreed KPI), and converge on the be...

$5-$10. Max for this expert information: EXPERT REQUIRED: POLYMARKET HISTORICAL DATA ARCHITECTURE FOR QUANTCONNECT/LEAN I need an expert to solve one specific problem in my existing Polymarket quantitative trading system. With traditional futures trading, I can obtain large amounts of continuous historical data for the same underlying asset and use QuantConnect/LEAN to perform discovery, backtesting, walk-forward testing, out-of-sample validation, overfitting analysis, parameter optimization, and strategy validation. Polymarket is fundamentally different because it consists of thousands of individual prediction markets that open, evolve, and resolve at different times. My concern is that my current LEAN bridge does not have enough historical Polymarket data in a format that allows it ...

I’m building a technology-driven initiative and need a seasoned data analyst to turn raw information into clear, actionable insight. The scope centers on three core services: • Data visualization – translate complex datasets into intuitive dashboards or charts so trends are instantly understandable. • Statistical analysis – run rigorous tests and descriptive stats to validate findings and quantify relationships. • Predictive modeling – create models that forecast key outcomes and recommend next steps. You’ll receive access to the datasets, along with context on our business objectives and any relevant KPIs. I’m open to your choice of platforms or languages—whether that’s Python (Pandas, Sci-Kit-Learn), R, Tableau, or anot...

I’m working on a Science and Technology dissertation centred on Experimental Research and I need an experienced academic writer to step in from start to finish. That means shaping the introduction, building a solid literature review, detailing a rigorous methodology, and carrying the project all the way through results, discussion, and final editing. Here’s what I have in mind: • We’ll refine the research questions and objectives together so they align with current experimental trends. • You’ll survey and synthesise the latest peer-reviewed sources to ground the literature review. • The methodology section must outline clear experimental design, data-collection protocols, and appropriate statistical tests. • Drafts of each chapter should...

1. Project Overview / Heading Title: Zomato Restaurant Data Analysis Dashboard Domain: Food Delivery / Restaurant Analytics Tool Used: Power BI (dashboard UI se clear hai) Purpose: Zomato platform par available restaurants ka comprehensive analysis — price, ratings, delivery time, city & area distribution, high/low rated restaurants, etc. 2. Problem Statement Zomato jaise platforms par hazaron restaurants hote hain. Management / business stakeholders ko yeh samajhna mushkil hota hai ki: Kaunse cities / areas mein zyada restaurants hain? Average price range kya hai aur kaunse cuisine expensive hain? High-rated vs Low-rated restaurants ka distribution kaisa hai? Delivery time aur ratings ka relation kya hai? Overall business health (total restaurants, average rating, average price...

I’m bringing an intern onto our New York–based wealth management team to deepen our financial analysis and reporting capacity. Your core mission will be to own the financial modelling workflow that underpins our client portfolios. Day-to-day you’ll refine existing Excel models, expand them to cover new asset classes, stress-test assumptions, and translate results into concise commentary for quarterly reports and client meetings. Because the role centers on financial analysis and reporting, I expect strong fluency with Excel’s advanced functions, Power Query, and charting; VBA is a plus but not mandatory. You’ll collaborate closely with our portfolio managers, so clear communication and an eye for detail matter as much as technical skill. Prior experience&md...

I'm seeking a PhD-level expert to validate vignettes. Requirements: - Experience in vignette development and validation - Expereince in quantitative research methodology Ideal Skills: - Advanced degree (PhD) - Research experience in relevant fields - Attention to detail and precision in validation processes Please provide relevant qualifications and experience.

I need real-life cases validated for a quantitative research survey. The subject area is public administration and collaborative governance. The primary objective is to understand public blame attribution. Ideal Skills and Experience: - Expertise in public administration and collaborative governance. - Experience in developing and validating research vignettes. - Strong understanding of quantitative research methods. - Attention to detail and ability to ensure real-life cases are accurate and relevant. -PhD with quantitative research design validation experience. Please provide a portfolio highlighting relevant experience.

Hi everyone — I’m looking for an economist or PhD-level economics professor/researcher who may be interested in providing an independent expert opinion letter in connection with a U.S. immigration petition (EB-2 National Interest Waiver). My proposed endeavor relates to fund finance and the U.S. financial services/private capital market, and the letter would provide an independent economic perspective on the broader importance and potential national-level impact of work in this area. Ideally, I’m looking for someone with credentials in economics, finance, financial markets, banking, private capital, or a related field. Prior experience writing expert opinion letters is helpful but absolutely not required. This would be a paid engagement, and I can provide my CV, a detaile...

I have several datasets stored in Snowflake that need to be surfaced through polished, insightful Power BI assets. I’m looking for someone with truly advanced Power BI skills who can: • Shape and model the data efficiently once it is pulled from Snowflake • Build clean, reusable measures and calculations • Turn those models into interactive reports that tell a clear story • Wrap everything into executive-ready dashboards with thoughtful layouts and drill-throughs Only a basic grasp of Snowflake is necessary—you’ll mainly be connecting, importing, and refreshing tables, not administering the warehouse itself. I have the Snowflake credentials ready and can handle any permission work on my side. Please share a brief note on similar Power BI model...

I need a comprehensive statistical analysis report for my research project data using Excel. The data is observational in nature and is currently organized in an Excel spreadsheet. Requirements: - Descriptive statistics - Cox regression hazard model Ideal Skills and Experience: - Expertise in statistical analysis, particularly with Cox regression - Proficiency in Excel for data manipulation and analysis - Experience working with observational data - Ability to deliver clear and concise reports cause-specific Cox model → death as competing event → restricted cubic spline for delay duration → Fine–Gray sensitivity analysis

I run a retail operation and want to turn the raw data we collect into clear, practical intelligence. The goal is to understand why customers buy, how their habits shift over time, and which factors drive repeat purchases so I can refine merchandising, promotions, and loyalty efforts. I can provide any combination of purchase history, demographic information, or website interaction data once we agree on the best approach. Your task is to explore the data, surface patterns, and translate them into an easy-to-read report with actionable recommendations—think trend visualisations, segment profiles, and concrete next steps I can implement right away. Please outline the methods and tools you prefer for data cleaning, exploration, and visualisation (e.g., Python/Pandas, R, Tableau, Power...

Real estate prices depend on a mix of structural, locational, and categorical factors that don't always relate to price in a simple linear way. This project: Simulates a realistic residential listings dataset for 6 Indian cities (Indore, Bhopal, Pune, Bangalore, Nagpur, Ujjain), deliberately including missing values, duplicate rows, and data-entry outliers. Cleans and explores the data to understand what actually drives price. Trains and compares two regression models — Linear Regression and Random Forest. Wraps the better-performing model in an interactive Streamlit app so anyone can enter property details and get an instant price estimate. Note on the data: the dataset used here is synthetically generated (see ) rather than scraped, so the project can run fully offline and be...

I am seeking a freelancer with expertise in neuroscience, neuroimaging, and academic research to assist in structuring and organizing the manuscript for my Master's research project. The study focuses on the relationship between sleep quality and brain structure, including gender-related differences, based on structural MRI data. The scope involves developing the framework and organizing the main sections of the manuscript. Results and statistical findings will be added by me later.

I'm seeking a GIS expert to assist with the RUSLE model using QGIS. Key requirements: - Proficiency in QGIS - Experience with both raster and vector data - Knowledgeable in: - Rainfall-runoff erosivity factor (R) - Soil erodibility factor (K) - Slope length and steepness factor (LS) Ideal skills and experience: - Advanced GIS analysis - Environmental science background - Strong data manipulation and interpretation skills Please provide examples of similar work done.

Project Overview We are looking for an experienced full-stack/AI developer to build a web-based research assistance platform focused on helping users conduct structured academic and professional research. The platform should be capable of taking a user’s research topic, understanding the requirements of the project, identifying relevant academic sources and datasets, performing appropriate analytical workflows, generating visualizations, and producing a professionally structured final document. The system should be designed with a modular architecture so that additional research disciplines, analytical methods, data sources, and document formats can be added later. Core Requirements 1. Research Topic Analysis The user should be able to enter a research topic or research questio...

Here's a research overview of female genital mutilation (FGM) with the most recent WHO/UN data as of 2025-2026: *1. What it is* FGM comprises all procedures that involve partial or total removal of the external female genitalia, or other injury to the female genital organs for non-medical reasons. WHO classifies it into 4 types, ranging from clitoridectomy to infibulation. It has no health benefits. 34701ac6 Internationally it is recognized as a violation of human rights, an extreme form of gender discrimination, and a violation of children's rights when performed on minors. 63d61ac6 *2. Scale and trends* - *230+ million* girls and women alive today have undergone FGM. That’s a 15% increase in total survivors compared to 8 years ago. - *4.5 million girls* are estimated t...

Como compositor, quiero recoger retroalimentación honesta y estructurada sobre mi última pieza musical. Necesito que un especialista en Typeform configure una encuesta en línea que: • Presente un enlace de escucha (audio o video) y, tras la reproducción, haga preguntas sobre melodía, letra, producción y emoción percibida. • Incluya valoraciones con escalas (por ejemplo, 1-5), respuestas abiertas para comentarios detallados y lógica condicional para saltar preguntas irrelevantes. • Recopile datos demográficos básicos (edad, país, nivel de familiaridad con mi música) para segmentar los resultados. • Genere un informe exportable (CSV/Excel) y un dashboard visual dentro de Typeform pa...

I need a seasoned business analyst to dive into the education space and help me understand how our product truly fits the market. Your task is to collect and interpret data on current demand drivers, shifting learner expectations, pricing trends, regulatory factors, and emerging delivery models, then distill everything into a concise executive summary I can hand straight to my board. In practical terms, that means: • Framing the problem with proven techniques such as SWOT, PESTLE, and simple TAM/SAM/SOM sizing. • Mining secondary sources (industry reports, government datasets, competitor publications) and, where feasible, light primary validation (quick expert interviews or survey snippets). • Converting the numbers into clear insights and crisp visuals—simple t...

I’m ready to allocate a minimum of ₹1 lakh exclusively into cryptocurrency, but I don’t want the usual Bitcoin-or-Ethereum route. My interest lies in promising altcoins that can realistically compound into a steady ₹10 k return every month while still keeping the overall objective of long-term growth in focus. Here’s what I need from you: • A researched, data-backed portfolio allocation concentrated on lesser-known coins with solid fundamentals, clear use-cases, and active development. • Defined buy-in ranges, position sizes, and a rebalancing schedule that protects capital yet targets the 10% monthly yield I’m after. • Risk-mitigation tactics—stop-loss levels, diversification ratios, and contingency plans for market downturns. • A s...

I’m advancing an academic study in the natural sciences and need a skilled researcher to accelerate the work. The core of the project involves locating and critically appraising peer-reviewed literature, extracting key data points, and weaving them into a clear, well-structured narrative that aligns with publication standards. You will dig through databases such as Web of Science, Scopus, or PubMed, track down primary sources, and summarise findings with proper citations (APA, MLA, or the journal’s house style—let me know if you have a preference). Once the literature base is solid, I’ll rely on you to highlight gaps, refine the research question where necessary, and draft concise sections—introduction, methods overview, and discussion—ready for my re...

I have an academic assignment centred on supervised learning and I need clear, concept-driven help to complete it well. I will share the written brief, datasets (if any), and my own draft work; no university logins or personal credentials will be provided. Scope of support • Break down the assignment requirements in plain language, highlighting key supervised-learning ideas (e.g., model selection, loss functions, evaluation metrics). • Walk me through how to tackle each question, reinforcing the underlying theory so I fully grasp why each step matters. • Supply illustrative examples—concise notes, diagrams, or annotated snippets—so I can see the ideas in action without simply copying finished code. • Review the solutions I draft, point out misconceptions or...

### Hydrodynamic Modelling Validation Freelancer Required I am looking for an experienced **hydrodynamic/coastal modelling freelancer** to assist with **model calibration and validation** for a marine/coastal modelling project. The freelancer should have strong experience in **MIKE 21**, particularly in model calibration, validation, and statistical analysis. ### Scope of Work * Review the existing hydrodynamic model setup and simulation results. * Compare model outputs with **in-situ/current meter observations**. * Perform calibration and validation of: * **Current Speed (CS)** * **Current Direction (CD)** * **Water Level** * Identify the main causes of discrepancies between modelled and observed data. * Adjust/calibrate appropriate model parameters, boundary conditions, bathym...

"Retrieval-Augmented Generation (RAG)" chatbot: official public documents are ingested, chunked, embedded, and stored in a vector database. When a user asks a question, the system retrieves the most relevant passages and uses an LLM to generate an answer grounded in that retrieved content — with every factual claim cited to a specific source and date. If the system can't find a reliable source, it says so instead of guessing. ## Key Features - "Grounded, cited answers" — every claim traceable to a specific document, section, and date - "Three answer types" — quick factual lookups, analytical/statistical summaries (trends, comparisons), and step-by-step procedural guidance - "Hallucination guardrails" — a verification ste...

Project Overview: I am looking for a freelancer to develop a Heart Disease Prediction Analysis project using Python and Machine Learning. Requirements: Perform data cleaning and preprocessing Handle missing values and duplicates Perform Exploratory Data Analysis (EDA) Create meaningful visualizations using Matplotlib and Seaborn Analyze correlations and important features Build and compare at least 3 classification models: Logistic Regression Decision Tree Random Forest Evaluate models using: Accuracy Precision Recall F1-Score Confusion Matrix ROC-AUC Include a sample prediction using the best-performing model Provide a clear final conclusion and model comparison Deliverables: Complete Jupyter Notebook (.ipynb) Clean and commented Python code EDA visualizations Machine learning models...

Saya memerlukan sebuah artikel jurnal ilmiah berbahasa Indonesia yang membahas gaya hidup sehat dengan penekanan utama pada olahraga dan kebugaran. Artikel ini akan dijadikan referensi akademik, jadi struktur dan gaya penulisannya harus mengikuti standar publikasi ilmiah—lengkap dengan abstrak, pendahuluan, metodologi (jika relevan), pembahasan, simpulan, serta daftar pustaka berformat APA atau Vancouver. Ruang lingkup tulisan: • Merangkum temuan riset terkini tentang manfaat olahraga teratur bagi kesehatan fisik dan mental. • Menjelaskan mekanisme fisiologis yang mendukung peningkatan kebugaran. • Menguraikan rekomendasi frekuensi, intensitas, dan jenis latihan berdasarkan literatur mutakhir. • Menyertakan data statistik atau studi kasus sebagai penguat ar...

I have a collection of medical case series stored in Word documents and a well-defined hypothesis that I now want to test through a properly designed cohort study. The raw notes include patient demographics, clinical features, interventions, and outcomes, but they need to be extracted, coded, and organised into an analysable dataset first. Your role is to turn those narrative files into a structured cohort analysis that will stand up to peer review. This involves outlining the cohort design, specifying inclusion/exclusion criteria, transforming the text data into a clean spreadsheet or database, running the appropriate statistical tests, and writing up the results in line with STROBE guidelines. I am comfortable with R, SPSS, or Stata outputs; choose whichever you prefer as long as the ...

Necesito apoyo para levantar y analizar encuestas sociales centradas en tecnología y medios. El trabajo consiste en: • Diseñar cuestionarios breves y claros que exploren hábitos de consumo digital, uso de redes y percepción de nuevas plataformas. • Distribuir las encuestas en línea a públicos segmentados y asegurar una participación suficientemente representativa. • Recopilar y depurar las respuestas en hojas de cálculo o herramientas como Google Forms o Typeform. • Elaborar un informe con gráficos, hallazgos clave y recomendaciones accionables. Valoro que la persona tenga afinidad con el mundo de la moda, porque a futuro podríamos sumar preguntas relacionadas con tendencias y estilo. Busco a...

I have completed a study on the insecticidal potential of essential-oil-based formulations used to protect stored dates and now need it shaped into a publishable scientific article. You will start from my raw research notes, data tables and lab photographs to craft a full manuscript and deliver the finished work as a clean, submission-ready PDF. The article must read like a peer-reviewed paper: concise abstract, clear introduction, well-structured materials and methods, rigorously presented results, and a solid discussion that integrates statistical analysis with current literature. I want all three pillars—methodology, experimental results and data analysis—developed in depth so reviewers can replicate and critique the work with confidence. Because the subject sits at the cr...

I’m running a systematic investigation into how prompt phrasing influences in-context regression performance. The work spans six separate axes, and for this engagement I want you to concentrate on two of them—Data preprocessing and Evaluation metrics—while keeping the other axes in mind so our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply...

For 3 small studies of less than 100 respondents each, I would like: 1) feedback on question wording and order 2) feedback on question response options 3) Guidance on working with SurveyMonkey or other similar platforms 4) Guidance on data analysis: statistics to request and how to interpret them

I am seeking an experienced systematic-review researcher to comprehensively revise and finalize a manuscript and its supplementary files. The work must follow PRISMA 2020 and report only procedures that have actually been completed and verified. Scope of work: 1. Verify and standardize the review period as 2016–2025 throughout the title, abstract, Methods, Results, tables, PRISMA diagram, and supplementary files. 2. Verify the searches in PubMed/MEDLINE, Embase, and Web of Science. Provide: * Exact database-specific search strings; * Search dates and limits; * Search histories or exports; * Records identified from each database; and * Confirmation that eligible 2025 publications were systematically searched. If the original searches cannot be verified, they must be rerun and doc...

I need a marketer who can get out into the real world and run customer-facing surveys for market research purposes. Your task is to approach targeted consumers, administer a brief questionnaire, and return with clean, well-organized data that helps me understand buying motivations and pain points. To make this work smoothly, you will: • Design or refine a concise survey script (10–12 questions max). • Identify and visit appropriate high-traffic locations that match my ideal customer profile. • Collect at least 200 completed responses, ensuring demographic diversity. • Enter all results into a shared Google Sheet and include basic summary statistics (response counts, key themes). I’ll provide the target persona, suggested venues, and an example ...

I manage a fast-moving quantitative fund and I’m expanding the team on two fronts: deep fundamental research and purpose-built trading technology. RESEARCH ANALYSIS Your core mission is digging into papers and reports—academic studies, sell-side notes, 10-Ks, industry white papers—and pulling out the insights that move markets. I lean heavily on options and futures, so I’ll look to you to translate those findings into structured spread ideas, monitor relevant news flows, and keep a tight watch on sector-level fundamentals. Speed matters, but rigor matters more. This role requires daily updates and reports. SOFTWARE ENGINEERING In parallel, I need an algorithmic trading stack that can ingest live market data, run ML-driven models, execute orders, and log performanc...

I run a small, fast-moving operation and need a sharp mind beside me every weekday from 8 a.m. to 4 p.m. Eastern (New York) time. During those hours you will sit at your computer, dive into live sources of financial data, and turn raw numbers into clear, actionable findings I can use immediately. Your main focus is research and analysis. Strong data-analysis skills are essential—you should feel at home in Excel or Google Sheets, able to spot patterns quickly, calculate metrics on the fly, and sanity-check results against multiple sources. If you already dabble in tools like Python, R, Power BI, or specialized market platforms, that’s great, but your willingness to learn new techniques is even more important. Discipline, punctuality, and the stamina to stay engaged on screen f...

I am building a full-featured data analysis tool and am looking for a Python developer who can take it from concept to deployment with clean, well-structured, and fully tested code. Scope of work The core of the project is a pipeline that handles • data cleaning • data visualization • statistical analysis All stages should be written in Python using Pandas for wrangling, Matplotlib for visual output, and Scikit-learn where modelling or advanced statistics are required. I want the codebase organised for long-term maintainability, with clear documentation, type hints where useful, and unit tests that cover critical paths. Beyond core development I will need help with debugging, automated testing, and packaging/deployment (a Docker image or similar solution that le...

I am building an end-to-end Python solution that automatically ingests, processes, and reports on financial data pulled from CSV files, SQL databases, and live APIs. Clean, well-structured, and easily maintainable code is essential because the system will be extended over time. Scope of work You will take the project from initial design through deployment. That includes setting up the data-collection pipeline, writing transformation and analysis modules, implementing robust error handling and logging, building unit / integration tests, and preparing a production-ready deployment script or container. The stack is entirely Python, so I expect idiomatic use of tools such as pandas, SQLAlchemy, asyncio, and, where it adds value, lightweight AI/ML components for anomaly detection or forecast...

Vänligen Vänligen Registrera dig eller Logga in för att se mer information.

I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!

I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!