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SHEILA JOHN
Data Analyst who drives informed business decisions using tools such as SQL, Tableau, MS Excel, Python, and R to generate insights from data.
Performed exploratory and explanatory data analysis of an online peer-to-peer lending platform - Prosper - using Pandas, Numpy, Seaborn and Matplotlib.
Queried Twitter's API using the Tweepy library in Python. Further analyzed the data using pandas, numpy, matplotlib and seaborn libraries.
Explored Case Study #1 of Data with Danny 8 Week SQL Challenge; analyzed customers' visiting and spending patterns.
Explored gapminder world to see the impact of certain economic metrics on Life expectancy in various countries between 2000 and 2019.
Performed exploratory analysis on the Q2 2022 records of Maven Communications and made recommendations on how to improve customer retention and reduce churn rate.