Jai Agrawal

Intro

I recently graduated from USC, where I studied Economics and Data Science. I additionally earned a master's degree in Applied Data Science. Some of the courses I enjoyed were: Probability Theory, Applied Differential Equations, and Analysis of Algorithms. I have also spent time teaching myself Python, R and Swift. I’m excited to explore ML roles at Tech companies. Additionally, I'm passionate about films and screenwriting in particular.

• LinkedIn
• Twitter
• GitHub

Projects

Analysing Eminem’s Lyrics Using TF-IDF Topic Modelling in Python

Built a TF-IDF model in Python using NLTK library. Pulled data from Genius library, prepared same using NLP concepts deployed by NLTK library, and analysed using Sklearn.

Forecasting Stock Values Using an LSTM Model in Python

Developed an LSTM model to forecast time-series data using stock values. Pulled data from NSEPy library, formatted data using PANDAS, and applied machine learning techniques using Keras.

Finding the Most Clutch NBA Player of the 2020–21 Season Using Python

Created datasets to evaluate most clutch NBA player of the season. Pulled data from stats-nba.com using a web-crawler in BeautifulSoup. Formatted and analysed said data using PANDAS. Visualised using MatPlotLib

Backtesting EMA Algorithms in PANDAS

Created and tested Exponential Moving Averages (EMAs) over the past 10 years of stock data using the PANDAS library in Python.

Film Archives

As a film enthusiast and amateur screenwriter, I live and breathe movies. Here are a few that changed my life:

Resume

Contact

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Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';