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$25 USD /timme
Flagga för PAKISTAN
lahore, pakistan
$25 USD /timme
Datum, tid och plats: 12:47 fm
Gick med december 27, 2023
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Muhammad Tawab S.

@Tawabshakeel

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$25 USD /timme
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Återanställningsgrad

Data Scientist | Machine Learning Engineer | XAI |

Experienced Data Scientist and Machine Learning Engineer with a passion for harnessing the power of data to drive innovation and solve complex problems. Specialized in building cutting-edge machine learning models and leveraging Explainable AI (XAI) techniques to ensure transparent and interpretable insights. A Google Cloud Platform (GCP) Data Engineer skilled in designing and implementing data pipelines and cloud-based solutions to extract, transform, and analyze data for actionable business intelligence. Committed to delivering data-driven solutions that empower organizations with a competitive edge and the ability to make informed decisions.
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Portfolio

11575903
ExplainX is a model explainability/interpretability framework for data scientists and business users. https://github.com/explainX/explainx Article - https://medium.com/analytics-vidhya/explaining-the-machine-learning-catboost-model-using-explainx-8e62130b7800
Explainx
11575860
Dptron is an in-memory platform built for distributed & scalable data cleaning & preparation. DPtron is written in Python and is built on PySpark to deal with large amounts of data seamlessly. It uses an implementation of machine learning and deep learning algorithms to perform important data cleaning & preparation steps automatically. Dptron is extensible so that developers, analysts & scientists can streamline the process of data cleaning & preparation for better decision making while becoming more productive. Decision-making is better & easier if the data is clean otherwise it’s garbage-in and garbage-out. https://github.com/ms8909/mltrons-auto-data-prep
Dptron
11575854
Combined COVID cases with Pollution (pm2.5) and Weather (temperature) to figure out the correlation https://bigbyteinsights.com/covid19
Covid Analysis
11575903
ExplainX is a model explainability/interpretability framework for data scientists and business users. https://github.com/explainX/explainx Article - https://medium.com/analytics-vidhya/explaining-the-machine-learning-catboost-model-using-explainx-8e62130b7800
Explainx
11575860
Dptron is an in-memory platform built for distributed & scalable data cleaning & preparation. DPtron is written in Python and is built on PySpark to deal with large amounts of data seamlessly. It uses an implementation of machine learning and deep learning algorithms to perform important data cleaning & preparation steps automatically. Dptron is extensible so that developers, analysts & scientists can streamline the process of data cleaning & preparation for better decision making while becoming more productive. Decision-making is better & easier if the data is clean otherwise it’s garbage-in and garbage-out. https://github.com/ms8909/mltrons-auto-data-prep
Dptron
11575854
Combined COVID cases with Pollution (pm2.5) and Weather (temperature) to figure out the correlation https://bigbyteinsights.com/covid19
Covid Analysis

Recensioner

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Erfarenhet

Co Author | Co Founder | Explainable AI Researcher | Explainx

Big Byte Insights
maj 2022 - Nuvarande
NYU-affiliated startup pioneers Open Source ML interpretability. Researching Explainable AI, developing a distributed library for global/local explanations, summary plots, etc. Focus on visualization for model insights and real-time monitoring. Python, Plotly-Dash, Pandas, Numpy, Scikit-Learn, H2o, SHAP, Catboost, Xgboost. Research spans local/global explanations, data distributions, cohort analysis, and ranking similar profiles.

Data Scientist | Machine Learning Engineer | XAI | GCP Data Engineer

Big Byte Insights
juli 2018 - maj 2022 (3 år, 10 månader)
- Work on Alternative Data to figure out Actionable Insights - Use Statistical and Machine Learning Approaches to Discover Useful Insights - Identify abnormality in the data using unsupervised ML Algorithms - Work On Data Science Architecture PipeLines to Maintain Data - Work On Data Visualization for Presenting Insights and identifying abnormal data records. Languages: Python, SQL Database / Data Warehouse: MySql, Postgres, Snowflake

Data Scientist

mltrons.ai
aug. 2019 - jan. 2020 (5 månader, 1 dag)
- Worked on Distributed and Scalable Data Cleaning Library that wrangles the data automatically using Sophisticated Machine and Deep Learning Algorithms - Worked on Auto ML library that helped in identifying the best model and its hyperparameters based on the accuracy - Worked on Data Pipelines and Model Deployment Using AWS services Languages: Python Libraries: Pandas, Numpy, Scikit-Learn, Keras Distributed System Libraries: PySpark, Dask Cloud Platform: AWS services

Utbildning

Bachelor of Computer Science (BCompSc), Computer science

Pakistan 2014 - 2018
(4 år)

Kvalifikationer

Google Cloud Certified Professional Data Engineer

Google Cloud Platform
2023
Google Cloud Certified Professional Data Engineer

Fundamentals of Scalable Data Science

IBM
2019
Fundamentals of Scalable Data Science Certified

Python for Data Science

IBM
2018
Python for Data Science Certified

Kontakta Muhammad Tawab S. om ditt uppdrag

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Toppkompetenser

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