My Projects
Medical Machine Learning
A medical condition recognition ML app using Yolov8 and Kaggle Data, hosted on streamlit
Utilized the streamlit framework to create a web app that allows users to detect medical conditons using the YOLOv8 image classfication and recognition models. The model was trained on a public Kaggle API.
Check it out!Technologies used: Python, Anaconda, ML Concepts
VeloCityX Data Science
Data analysis and statistical/machine learning predictions
Analyzed a dataset to predict user activity with a variety of tools
Check it out!Technologies used: Jupyter Notebook, Pandas, Numpy, Seaborn, Sci-kit Learn
Marketplace Simulation
A fullstack webapp project to represent an item shop
Developed a simulation that displays select front end objects that interact with backend APIs and a cloud database
Check it out!Technologies used: MongoDB, Express.js, React.js, Node.js
IMC Prosperity Quantitative Trading Challenge
An attempt to make sense of a mock financial market
Developed various algorithmic trading scripts to beat markets involving: stable vs volatile goods, basket goods, goods with call options, goods discretely affected by various factors, and other active trading bots. Tried to implement the Black–Scholes model as well as peform various statistical predictions. Also created various data displays and dashboards to help manual trades.
Check it out!Technologies used: Python, Pandas, Numpy, Matlab, Jupyter Notebook