I turn numbers into narratives, transforming insights into the driving force behind organizational success.
Open To Opportunities.
View My linkTreeMore Projects are available on my github.
Data Cleaning with PowerQuery, Statistical Analysis with PivotTables and PivotCharts and Dashboarding.
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This project focused on scrapping data from the wikipedia top 100 comoanies by revenue from wikipedia and doing Exploratory data analysis and cleaning with Pandas and Seaborn.
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This project involved automating the process of pulling crypto data from the Cypto Market Cap Site using their API and auto-appending the data to a CSV file, I then cleaned the data and did some EDA with Pandas, Seaborn and Matplotlib.pyplot.
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Got the Dataset from Kaggle, I was able to clean the data with pandas do some EDA with Pandas, Seaborn and Matplotlib.pyplot, then later some more intensive Feature Engineering, this project provided the most insights.
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I created and deployed a simple Web - App to do the very basic but often repetitive tasks in data cleaning such as nulls and duplicates, it involved Pandas, Seaborn and Matplotlib.pyplot.
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Generates a password based on the requirements i.e Capital letters, Symbols, then encrypts them to a local SQL database.
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Got the Dataset from Kaggle, I was able to clean the data with pandas do some EDA with Pandas, Seaborn and Matplotlib.pyplot, then minor Feature Engineering.
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Designed the database in QuickDBD and implemented it locally with MYSQL Workbench.
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Using Pandas, Seaborn, Matplotlib.pyplot I was able to clean and transform this DataSet.
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