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$15 USD / ώρα
Σημαία της BANGLADESH
dhaka, bangladesh
$15 USD / ώρα
Τώρα είναι 8:46 π.μ. εδώ
Έγινε μέλος Νοεμβρίου 30, 2007
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Wahedul I.

@Adnan777

monthly-level-three.svg 5,0 (1 αξιολόγηση)
0,4
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$15 USD / ώρα
Σημαία της BANGLADESH
dhaka, bangladesh
$15 USD / ώρα
100%
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100%
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100%
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Μ/Δ
Βαθμός Επανάληψης Πρόσληψης

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
Προβολή όλων Power BI Consultants σε Bangladesh

Επικοινώνησε με τον/την Wahedul I. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Πορτφόλιο

11866348
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
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
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
11866348
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
The purpose is to have a treemap of the stock performance of different companies clustered by the different industries like the finviz.com. 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." Video for this treemap: https://youtu.be/lNWDIsd1
Python based stock market treemap chart (like finviz.com)
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
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

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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
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Σημαία της Avinash S.
@thebusiness7
•
2 μήνες πριν

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