Applied machine learning techniques to forecast and analyzed time-series stock data. Implemented models such as LSTM, ARIMA, and CNN to test different approaches.
Discord Bot
Using the Discord API, I created a bot for my own personal server. The bot is responsible for user greetings, logistics management, and have fun commands!
Robinhood API
Using the Robinhood API, I managed my portofolio. The Python Script is able to look up, execute/sell orders.
I also extract my holdings to perform analysis on its performance.
Lahman Baseball Database
Used SQL to extract information from a database. Investigated trends ranging from saber-metrics, salaries, and others.
Crime Analysis in Chicago/DC
Analyzed crime data using Pandas, GeoPandas, regression, and created data visualization. I also explored trends ranging from neighborhoods to socioeconomical status.
Spotify Playlist
Using the Spotify API, automatically create a new playlist weekly based on my listening trends.
Ants vs Bees
Created a spin-off version of Plants vs. Zombies in Python.
Downtown College Prep - Student Reclassification
Working with Downtown College Prep, we helped built a model and web application to automate
reclassification of students into different cohorts. This replaced the previous techniques of manual calculation
in Excel.
Spam or Ham Classifier
Created a model to predict whether an email is a spam or not. The following methods were used: feature selection, one-hot encoding, NLP, and logistic regression.
