Skills

Languages, frameworks, and tools I work with

Languages

  • Python
  • JavaScript
  • TypeScript
  • Java
  • SQL

Data Science

  • EDA
  • Feature Engineering
  • LightGBM Tuning
  • Pandas
  • Scikit-Learn

Frontend

  • Next.js
  • React
  • React Native
  • Astro
  • Tailwind CSS

Backend

  • FastAPI
  • Spring Boot
  • PostgreSQL
  • MySQL
  • JWT / OAuth
  • Networking

Platforms & Infrastructure

  • Databricks
  • Render
  • Supabase
  • Neon
  • trigger.dev
  • Docker

Testing

  • Unit Testing
  • Integration Testing
  • Smoke Testing

Tools

  • Git
  • GitHub

Core Competencies

How I apply these skills in practice

Analysis & Understanding

  • Surface data quality issues, distributions, and relationships through EDA before any modeling begins
  • Turn raw, messy datasets into structured, actionable insight

Data & Feature Engineering

  • Build clean, reproducible preprocessing pipelines that transform raw data into modeling-ready form
  • Craft both domain-driven and technique-driven features to represent data effectively

Machine Learning

  • Develop and tune gradient-boosted tree models, with a focus on LightGBM
  • Apply predictive analytics to real-world signals like equipment health, finances, and anomalies

Production-Grade Engineering

  • Treat models and pipelines with production rigor, including unit testing rather than notebook-only work
  • Ship data products end-to-end across frontend and backend

Featured Projects

Projects that put these skills to work

AOG Zero — Aircraft-on-Ground Prevention System

A hackathon project built for Honeywell, monitoring Auxiliary Power Unit (APU) health across a fleet to predict and prevent aircraft-on-ground incidents.

  • Stack: Next.js/TypeScript (frontend dashboard), FastAPI + PostgreSQL (backend, predictive analytics)
  • Contribution: Worked across both the frontend dashboard and backend predictive analytics system
  • Team: Collaborated with a multi-person team in a hackathon setting
View project

Expense Tracker & Predictor (Mobile App)

A mobile application combining data science with mobile development, designed as part of a personal software product line.

  • Stack: React Native
  • Features: Logs spending, forecasts end-of-month balance, flags anomalous transactions, and suggests budget adjustments
  • Focus: Applying spending prediction and anomaly detection models within a consumer-facing mobile experience
View project

Student Administration System

A full-stack student administration system with role-based access, assessments, marks, and PDF report generation.

  • Stack: Next.js 15 + TypeScript frontend, Spring Boot + Java 17 backend, PostgreSQL
  • Features: Three-role RBAC (Admin/Teacher/Student), assessment weighting rules, client-side PDF reports
  • Grade: A+ in CS241 Software Design and Implementation
View project

TCP File Transfer Protocol

A custom request/response file-transfer protocol hand-rolled on raw TCP sockets in Python.

  • Stack: Python standard library only (socket, os), no dependencies
  • Features: Text-control framing, binary payload streaming, path-traversal protection on both sides
  • Grade: A in CS310 Computer Networking
View project