About

I'm a data scientist in Charlotte, North Carolina. At AIG, contracted through Cognizant, I'm part of the effort delivering agentic AI assistance to underwriters across Financial and Property & Casualty lines. My role covers the quality of what we deliver, and my day-to-day work is in Palantir Foundry and Palantir AIP.

I came to data by way of hardware. I studied electronics engineering, and my first internship, at Tech Mahindra, had me writing code that controlled equipment in hazardous environments. At IBM I worked with data from a national coffee retail chain and saw how analysis could shape real business decisions. That pulled me toward a Master of Science in Data Science at Stevens Institute of Technology.

Since then my work has centred on applied AI: parameter-efficient fine-tuning (PEFT) and prompt optimization for dental health tools at HealthXchange International, and now agentic AI in insurance. Underneath the models and pipelines, I keep coming back to the same question: does this make the work easier for the person using it?

Outside work I write, take photographs, keep more playlists than I need, and try to stay active. You'll find all of that under Beyond work.

Education

  • Stevens Institute of Technology

    Master of Science in Data Science

    Sep 2022 — May 2024

    At Stevens, my interest in technology became a fascination with data. Studying how to find patterns, build models, and draw insights from complex information is where I became obsessed with data.

    Relevant coursework

    • Applied Machine Learning
    • Probability Theory
    • Statistical Methods
    • Optimization for Data Science
    • Web Mining
    • Big Data Technologies
    • Deep Learning
    • Time Series Analysis
    • Marketing Analytics
  • Yashwantrao Chavan College of Engineering

    Bachelor of Engineering in Electronics Engineering

    2018 — 2022

    My interest in technology began with an engineering foundation that brought together programming, mathematics, and computational problem-solving.

    Relevant coursework

    • Programming in Python and R
    • Data Structures and Algorithms
    • Database Management Systems
    • Introduction to Machine Learning
    • Probability and Statistics
    • Digital Signal Processing
    • Combinatorics
    • Linear Algebra, Matrices, Calculus, and Differential Equations

Skills

  • Palantir
  • Python
  • R
  • SAS
  • Databricks
  • Snowflake
  • Alteryx
  • Tableau
  • Pandas
  • NumPy
  • Palantir Foundry
  • Palantir AIP
  • Next.js
  • TypeScript
  • Tailwind
  • Three.js
  • React
  • Vite
  • Node.js
  • WebSockets
  • Vitest
  • scikit-learn
  • PyTorch
  • LightGBM
  • SciPy
  • Plotly
  • Gradio
  • Hugging Face
  • NLTK
  • Matplotlib
  • Jupyter
  • FastAPI
  • PostgreSQL
  • PostGIS
  • OpenStreetMap
  • Terraform
  • Azure
  • Using Python to Access Web Data
  • Programming for Everybody (Getting Started with Python)
  • Introduction to HTML5
  • Quantium – Data Analytics

Location

Charlotte, North Carolina, United States