Freelancer logo Så fungerar det Bläddra bland jobb
Logga in Registrera dig
Publicera ett projekt
UTFORSKA
Excel
Power BI
Python
Virtual Assistant
Windows Desktop
Profilomslagsbild
Du följer nu
Fel vid följande av användare.
Den här användaren tillåter inte att andra användare följer dem.
Du följer redan den här användaren.
Din medlemskapsplan låter dig endast följa 0 användare. Uppgradera här.
Du har avföljt
Fel vid sluta följa användare.
Du har nu rekommenderat
Fel vid rekommendation vid användare.
Något gick fel. Var god uppdatera sidan och försök igen.
Email verifierad.
Använd avatar
$15 USD /timme
Flagga för BANGLADESH
dhaka, bangladesh
$15 USD /timme
Datum, tid och plats: 5:30 em
Gick med november 30, 2007
0 Rekommendationer

Wahedul I.

@Adnan777

monthly-level-three.svg 5,0 (1 omdöme)
0,4
0,4
100%
100%
$15 USD /timme
Flagga för BANGLADESH
dhaka, bangladesh
$15 USD /timme
100 %
Slutförda jobb
100 %
Inom budget
100 %
Inom tid
N/A
Återanställningsgrad

Power BI | Python | Deneb visual

About me: I'm a rising freelancer with a strong desire to enhance my skills in insightful data analysis and visualization mainly in Power BI platform. Skills in Power BI: # Data preparation (query editor). # Data modelling. # DAX measures calculation. # Turning raw data into insightful dashboards and reports. # Deneb visual in which custom visual can be implemented as per demand. # Python visualization both inside power BI and python local & cloud environments. # Python based data extraction from image using 'pytesseract' library. Skills in MS excel: # Pivot Table, Pivot Chart, Power Query & Power Pivot. # Skill to unlock excel sheet lock, VBA code lock.
Freelancer Power BI Consultants Bangladesh
Visa alla Power BI Consultants i Bangladesh

Kontakta Wahedul I. om ditt uppdrag

Logga in för att diskutera detaljer i chatten.

Portfolio

11866412
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
11850567
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
11866348
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
11703323
This is a deneb visual in which two line charts were illustrated at the Y axis. X axis is the month. Y axis is line graph for the Cumulative sales & Cumulative Budget. This line chart was developed with Vega-lite code.
Deneb custom Line chart
11441958
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
11538560
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table
11866412
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
Using the top 100 stocks (https://companiesmarketcap.com/) and their daily close price during the period of 2019 - 2020 from Yahoo Finance. # Developed dimension reduction techniques. # Perform the cointegration test and model training on the in-sample data. # Constructed the signals and strategy on the in-sample data to see how well it would have performed historically. # Developed both the in-sample and out-of-sample performance graph by matplotlib using regression analysis .
Regression for Pairs trading strategy using python
11850567
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
The data to be extracted includes brand name, country of origin, franchisor's company name, person's name, title, franchisee's name, company name, their person's name, contact details, and the country.They were extracted using python code snippet with opencv, re and pytesseract libraries from an Image. the code first enhanced the image for extraction and then the pytesseract library extracted the text in jupyter notebook.
Python (pytesseract) text extraction from Image
11866348
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
This stock market custom treemap chart was developed for a contest: "I am looking for someone to build a Python/PowerBI tool similar to the tool on the website https://finviz.com/map.ashx. The purpose is to have a treemap of the stock performance of different companies clustered by the different industries. Some of the features that must be included: - Show the values (returns) in the boxes as well - Drill down to specific industries. - Tooltip / Hover Over Chart Function: When you hover over an individual stock or the industry it will show a summary (as image). - Filtering - comparable to Finviz: It can be selected whether the performance is calculated for 1 days, 3 days, 1 week, 1 month, 1 year." As the treemap requires vast coding expertise in python, javascript and CSS, I have developed a primary treemap chart with python in google colab featuring ticker & color box and date filter. Stock data will be fetched from yahoo finance (yfinance). https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
11703323
This is a deneb visual in which two line charts were illustrated at the Y axis. X axis is the month. Y axis is line graph for the Cumulative sales & Cumulative Budget. This line chart was developed with Vega-lite code.
Deneb custom Line chart
11441958
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
This deneb visual based donut chart will focus on displaying categories and their corresponding percentages (by tooltip), providing a visual comparison that is easy to understand. This visual was developed with vega json code.
Custom donut chart by Deneb visual
11538560
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table
Created measures for the following issues: 1.Total Sales ($USD) 2. Cost of Sales ($USD) 3. Gross Profit Margin (%) 4. Total Sales ($CAD) 5. Unit Sales by Product (%, USD) 6. Gross Profit by Product (%, USD)
Sales Matrix table

Recensioner

Ändringar sparade
Visar 1 - 1 av 1 omdömen
 Filtrera omdömen efter:
5,0
$15,00 USD
Urgent: Power BI Donut Template
Phenomenal work. Communication was great, and the project was completed quickly within the specified timeframe. I would highly recommend him for anything related to Power BI or similar usage instances that require an intricate knowledge of coding. I would definitely hire him again!
JavaScript
Power BI
Använd avatar
Flagga för Avinash S.
@thebusiness7
•
en månad sedan

Kontakta Wahedul I. om ditt uppdrag

Logga in för att diskutera detaljer i chatten.

Verifikationer

Utvald Frilansare
Identitet verifierad
Betalning verifierad
Telefon verifierad
Email verifierad
Facebook-ansluten

Toppkompetenser

Power BI 1
Python
Windows Desktop
Excel
Virtual Assistant

Bläddra bland liknande frilansare

Power BI Consultants in Bangladesh
Power BI Consultants
Python Developers
Windows Developers

Bläddra bland liknande utställningar

Power BI
Python
Windows Desktop
Excel
Tidigare användare Nästa användare
Inbjudan skickades med framgång!
Tack! Vi har skickat en länk för aktivering av gratis kredit.
Något gick fel med ditt e-postmeddelande. Vänligen försök igen.
Freelancer logo Sweden / Svenska Hjälp & Support Frilansare Katergorier Projekt Tävlingar Freelancers Företag Medlemskap Utvalda Freelancers Projektledning Lokala uppdrag Photo Anywhere Showcase API för utvecklare Verifiera dig Skrivbordsapp Om Om oss Så fungerar det Säkerhet Investerare Sitemap Berättelser Nyheter Team Priser Pressmeddelanden Karriärer Villkor Integritetspolicy Villkor Upphovsrättspolicy Uppförandekod Avgifter och kostnader PartnersEscrow.comLoadshiftWarrior Forum Appar Apple App Store logoGoogle Play logo
Kopia till urklipp misslyckades, försök igen efter att ha justerat dina behörigheter.
Kopierat till urklipp.
Registrerade Användare Totalt antal jobb publicerade
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Laddar förhandsgranskning
Tillstånd beviljat för geolokalisering.
Din inloggningssession har löpt ut och du har blivit utloggad. Logga in igen.