Statistics and sports are what excite me. Perhaps, I got it from my father, who happens to be a Tennis Pro and a Statistics major! As a kid, I liked doing mental math with large numbers, and entertaining my friends, which got me the 'Math Wiz' title at school. My affinity for math led me to pursue a Master’s degree in Mathematics and Statistics and now, in Business Analytics.

What I like about data analytics is that it is forward-looking and positive. It helps us learn from the past, predict and prepare for the future, and, identify and solve problems. It just makes everything simpler and better. As an aspiring Data Analyst, I have showcased some of my Python, SQL, Excel, and Tableau skills in this Portfolio. I hope to add more projects as I continue to learn.

Analyzed the original bike trip data of Cyclistic, Chicago for 2021, to convert Casual riders into Member riders.

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Exploratory Data Analysis on the World Happiness Data of 146 countries was done, based on Per Capita GDP, Freedom to Make Life Choices, Perceptions of Corruption, Life Expectancy, etc.

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Scraped ESPN dataset for batting performance of all 347 players in Major League Baseball, USA in 2022, and store it in a CSV file.

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Cleaned Georgia real estate data, to get Atlanta Housing data.

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To test the prediction accuracy of various Hybrid versions of the KNN, LDA & QDA algorithms.

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To rank 4 hospitals based on the accuracy of their initial evaluation to final diagnosis, in the salvaging or amputating limbs of accident victims.

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