Portfolio Highlights

Transformer Model Efficiency

Fine-Tuning Transformers for Toxicity Detection: A Sentiment-Informed Approach.

This NLP project highlights the effectiveness of sentiment-informed training in enhancing toxicity detection while providing a scalable solution for real-world applications. By incorporating sentiment, the model gains additional context to better understand the intent behind an author's online post or comment.

Reddit Finance Posts

This project explores the intersection of behavioral science and social media analytics, specifically utilizing data scraped from Reddit. Team's primary objective is to assess what makes a post more engaging.

Tested BERT, Bag of Words, Transformers models versus a Baseline Regression model.

Ai Agents in Zoom

Built a Zoom Chatbox: Fine tuned AI model trained by Meta AI, serving as an interface for the conversational AI model LLaMA.

Deployed in development using Ngrok.

Chatbox answers in English, Spanish and Spanglish

Bart Ridership Analytics

Collaborated in a four person group to mine and analyze data on BART ridership.

The team answered ridership trend questions by leveraging tools such as Python, Pandas DataFrames, Jupyter Notebooks, Matplotlib, and APIs. Each team member collaborated to the team GitHub repository.

HealthBetweenUs.org

Launched a women's health advocacy website with co-founder Ryan, who as a registered nurse witnesses big gaps in women's health information. This site is intended to create a safe space for open discussions on health, including medical professionals endorsed messages.

With Ai powered forum messaging moderation, this project incorporates our passions for Machine Learning, Data Science and health.

Research Paper RAG

Absorbing and skimming through hundreds of thousands of research papers is an impossible task for a single person, even with current LLM tools. During a one-day Hackathon, our team developed an agent that enables users to summarize over 100,000 research papers in their field and extract key information through prompts. This was achieved by building a Retrieval-Augmented Generation (RAG) system leveraging LLMs. Next step: enriching the research community by bridging gaps.

Marketing A/B Testing

Created a marketing test results dashboard using Flask, embedding visualizations from Tableau Public. Used Kaggle data containing results from a marketing campaign where users were shown a targetted ad in lieu of a PSA.

Time Series Forecasting

Using Machine Learning to create Time Series Forecasts

Leveraged ARIMA and Random Forests models

Forecasting Revenue for TV sales at a major retailer based on pricing and item details
Roblox Games Expected Value based on usage metrics

Vehicle Shopping Guide

Collaborated in a six person team to develop a website that helped consumers decide what electric car to purchase.

The team was broken up in Research and Development, Back End and Front End visualization. We leveraged Beautiful Soup, JavaScript, and MongoDB and D3 charting to create a visual aid for shoppers.