ML/AI engineer · Data systems · Pittsburgh

I build ML systems that turn messy data into decisions people can use.

I’m Ananya, an ML and data engineer at PNC. I work across model development, data infrastructure, API performance, and products built for real people.

  • Applied ML
  • Data engineering
  • ML systems
  • Product engineering
Ananya smiling in a navy blazer at Carnegie Mellon University

Experience

Work that made a measurable difference.

May 2025 — present

Data Engineer

PNC Bank · Pittsburgh, PA

Cut an internal trading API from 30 seconds to under 5 and built SQL logic for Canadian trading accounts.

Apr — Jul 2024

Financial Analyst Intern

UBS · Hyderabad, India

Automated reporting with PySpark and Databricks, saving 35 hours per month, and supported Azure CI/CD deployments.

Jun — Aug 2022

Consulting Intern

Perficient · Chennai, India

Led UI/UX work and built client-facing features with the MERN stack to improve usability and functionality.

Education
2025

Carnegie Mellon University

M.S. Data Analytics for Science

2024

Vellore Institute of Technology

B.Tech. Computer Science & Engineering

Selected work

Systems I’ve taken from idea to working build.

Fashion Intelligence Engine opportunity review dashboard 01 · DATA + AI

Fashion Intelligence Engine

2026

Built a nine-source ML pipeline and full-stack application that turns fragmented fashion signals into ranked product opportunities.

  • FastAPI
  • Next.js
  • ML pipelines
Ananya's team at the Harvard Rare Disease Hackathon 02 · HEALTH AI

Rare Disease Clinical Trials

2025

Developed GAN-based synthetic controls and patient-to-trial matching for rare-disease research with limited patient data.

  • GANs
  • XGBoost
  • Python
Microscope view used for malaria cell classification 03 · COMPUTER VISION

Malaria Cell Classifier

2025

Trained a residual CNN to identify parasitized cells across more than 27,000 microscopy images.

  • TensorFlow
  • CNNs
  • Computer vision
Cluster graph from the 6D Data Hunt project 04 · EXPLORATION

6D Data Hunt

2024

Used PCA and K-Means in PySpark to uncover six lower-dimensional structures inside six-dimensional data.

  • PySpark
  • K-Means
  • PCA

Scotty Market

2026

Designed a privacy-first iOS finance app that extracts spending insights without requiring bank credentials.

  • SwiftUI
  • On-device
  • Finance UX
Savoured restaurant diary mobile interface 06 · PRODUCT

Savoured

2026

Built a private, offline-first restaurant diary with photo storage, secure sync, and venue search.

  • JavaScript
  • Firebase
  • PWA

Résumé

The full technical picture.

Experience, education, and technical work—kept to one page.

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