I am currently pursuing my master's degree in data science at the University of San Francisco.
I am passionate about tech for social good, FATE in AI, and centering diversity, equity, and inclusion as part of that mission.
Data Science Projects:
- Waste image classifier - trash, landfill, compost (AWS, PyTorch, Flask, Python)
- Article search engine based on search query and document text (Word2Vec, NLTK, Python)
- Article recommendation system based on document text (NLP, Word2Vec, NLTK, Python)
- Rating prediction of fashion reviews sentiment analysis of review text (NLP, Apache Airflow, MongoDB, GCP Storage, NLTK, Python)
- Wage prediction using linear regression models (Sklearn, Python)
- Movie rating prediction algorithm using cosine similarity (NumPy, Python)
- Book rating prediction algorithm using matrix factorization (PyTorch, Python)
- Mentor recommender using cosine similarity at VMWare’s CodeHouse hackathon (Python)
- Music recommendation by acoustic features using Gaussian Mixture Model, cosine similarity, and K-Means (Python)
- Horoscope twitter bot using Markov chains (Python)
- Built from scratch using OOP in Python: hashtable, decision tree, random forest, linear regression, naïve bayes, gradient descent, and pipeline to scrape data and convert from file types CSV, HTML, and XML