My Journey
Professional Journey
Manager, Data Science & Data Engineering
Fashionphile
March 2026 – Present · Los Angeles, CA
Leading the Data Science and Data Engineering team at one of the largest luxury resale platforms in the US. My team owns pricing algorithms, inventory forecasting, and the data infrastructure powering the business.
Lead Data Scientist
Fashionphile
2025 – March 2026 · Los Angeles, CA
Led pricing and demand forecasting initiatives for luxury resale, building ML models that power real-time pricing decisions across thousands of SKUs.
Data Scientist
Mortenson
2024 – 2025
- Engineered a Random Forest model achieving 95% accuracy in forecasting FTE costs, improving budget allocation across multiple construction projects
- Deployed BERT-based NLP pipelines on 40K+ internal documents, reducing project scoping from 2 weeks to 2 days
- Built a multi-stage NLP pipeline for survey data (10,000+ responses) with 92% classification accuracy and 88% F1-score, informing engagement policies for 5,000+ employees
- Developed Azure web apps with CI/CD pipelines, enabling project managers to instantly run cost prediction models
Data Scientist
Newegg (NASDAQ: NEGG)
2021 – 2024 · 3 years
- Built a product recommendation engine, lifting AOV by 18% and adding $30M in annual revenue
- Developed real-time fraud detection using ensemble methods, cutting fraud by 60% and saving $12M yearly
- Led 100+ A/B tests, improving conversion rate by 7% (~$15M incremental sales)
- Orchestrated LSTM forecasting and GCP pipelines, slashing inventory costs by 15% (~$8M) and stockouts by 35%
- Customer segmentation with Spark ML, identifying segments generating 45% of revenue and elevating retention by 25%
Graduate Student Researcher
UC San Diego
March 2020 – June 2020
Compared deep learning models (CNN, VGG16, Inception Net, RESNET) on American Sign Language recognition. Published research paper.
Analyst
PWD India
July 2017 – August 2018
Automated data processing workflows using Python and Excel, integrating structured and unstructured data into Tableau dashboards, reducing reporting time by 70%.
Education
University of California, San Diego
M.S. in Computer Science (Majored in Artificial Intelligence)
2018 – 2020
Focused on AI and machine learning, working on visual question answering, deep learning for ASL recognition, and NLP research.
Vellore Institute of Technology
B.Tech, Electronics and Communication Engineering
2013 – 2017
Awards
The Superstar Award — Fashionphile
Recognized as Manager, Data Science & Data Engineering at San Diego Flagship
Best Tech Project — Newegg Tech Awards
Recognized for the product recommendation engine that drove $30M in annual revenue