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trishalalit/README.md

Hi there 👋

I’m Trisha, a product-minded software and data engineer with an ML edge, focused on building systems that produce reliable data, measurable impact and products people actually use. I recently completed my MS in Computer Science from Boston University, where I worked on an ML weather prediction project across 15 U.S. cities, improving forecasting accuracy by 30%. At Brightmind, I build GCP data pipelines using Python and SQL that transform program and community data into decision ready reporting with over 98% accuracy. Previously, as a Software Engineer at Accenture working with clients like Roche, I developed AWS microservices for healthcare analytics, processing 300K+ records while improving deployment speed, reducing costs and maintaining high system reliability. I enjoy combining data engineering, machine learning and scalable systems to turn complex data into impactful solutions.

💡 Interests: Data Science • ML/AI • Full-Stack Engineering • Cloud & DevOps
📍 Location: San Jose, CA
🌐 Let’s connect: trishalalit.com
🧠 Always learning, always building.

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  1. weather-prediction-frontend-and-backend weather-prediction-frontend-and-backend Public

    DeepAtmosphere is a deep learning weather forecasting system that predicts next-day average temperature (TAVG) using probabilistic quantile regression. The system outputs P10 / P50 / P90 uncertaint…

    Jupyter Notebook 1

  2. AddressMatchingPipeline AddressMatchingPipeline Public

    🔍 Scalable Address Matching Pipeline — An end-to-end system that ingests, normalizes, and matches millions of messy addresses with 95%+ accuracy using exact, fuzzy, phonetic, and API-based techniqu…

    Python 1

  3. YinkaiXiong/METCS-673-Team7-Group-Project YinkaiXiong/METCS-673-Team7-Group-Project Public

    TypeScript 1

  4. titanic-servival-prediction titanic-servival-prediction Public

    Jupyter Notebook 1

  5. trisha-website trisha-website Public

    TypeScript