FedEx Revenue Management Team
Data Automation: Developing automated solutions using Python and SQL for pricing data processing and analysis in the revenue management team.
USC Viterbi School of Engineering
GPA: 3.57/4.0
Courses: Analysis of Algorithms, Deep Learning and its Applications, Applied Natural Language Processing, Machine Learning for Data Science.
FedEx Advanced Capability Community
🚀 Impact: Migrated Dataiku pipeline to Ab Initio across 190+ countries, achieving $1M annual cost savings
🎯 NLP Optimization: Reduced data discrepancies from 25% to negligible, improved HS2 code accuracy from 86% to 91%
⚡ Performance: Eliminated data shuffling from 75% of textual data through Python optimization
Persistent Systems
🎯 NLP Impact: Implemented question deduplication system, reducing duplicate postings to 10%
👥 User Experience: Enhanced community portal experience for 1000+ employees with recommendation system
SCTR's Pune Institute of Computer Technology (PICT)
AI Foundation: First exposure to Machine Learning and Quantum Computing. Completed Honors in AI and ML.
Grade: 9.61/10.0 GPA 🎓
Advanced Python implementation with Qiskit framework
Hands-on quantum computing demonstration
Comparative analysis research study
🧠 Advanced LLM Interpretability Tool: Interactive visualization platform for analyzing token prediction evolution and attention patterns in GPT-2/OPT models.
Explainable Financial AI using Llama & Gemini LLMs
Deeply inspired by Andrej Karpathy's approach to making AI accessible and Richard Feynman's philosophy of understanding through teaching.
