Projects

Collection of data science projects

1. Twitch Streamer Live Recommendation

Recommending Twitch live streamers with an emphasis on the role of the most recent interaction

Used skills

• Implemented Factorizing Personalized Markov Chains and Personalized Ranking Metric Embedding in TensorFlow.
• Evaluated different models using Precision@K and Mean reciprocal rank and concluded the importance of recent interactions and geographical distance for recommending the next streamer to watch.

2. Workout Song Classification

Classifying songs using Logistic Regression and Spotify API and updating a YouTube playlist using YouTube Data API

Used skills

• Labeled 1300+ songs into 3 categories and collected audio feature data using Spotify API in python
• Applied feature engineering and Principal Component Analysis to create a dataset of 114 features
• Achieved f1 weighted score of 0.68 using a logistic regression model
• Created a workflow to add new songs in a SQLite database and update YouTube playlist automatically using Youtube API and SQLite database

3. Metacritic User Rating Prediction

Predicting Metacritic user ratings with data available before movies are released such as critic reviews, critic ratings, and genre.

Used skills

• Websraping movie info, critic reviews, and user reviews from Metacritic using Python BeautifulSoup and storing in SQLite database.
• Extracting text sentiment features using nltk.sentiment.SentimentIntensityAnalyzer and keywords using KeyBERT.
• Analyzing scraped data using plotly.
• Predicting user rating with lightgbm.LGBMRegressor and hyperparameter tuning with Optuna.

4. San Diego Collision EDA

Exploratory data analysis project using Tableau for analyzing San Diego County Collision since 2016

Used skills

• Retrieving geo coordinates using Google Geocoding API
• Storing data to SQLite database
• Creating interactive visual with Tableau