Srinidhi Jagannathan — AI Builder & Product, MS Business Analytics at Santa Clara University
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About
Welcome to my small slice of the city.
I’m a Master’s student in Business Analytics at Santa Clara University, AI builder and product manager, and occasional debugger of problems that I accidentally created myself.
Instead of making a traditional portfolio, I built a city. It seemed like a perfectly reasonable idea at the time.
Every landmark represents a different part of my journey. Twin Peaks houses the projects, the Painted Ladies keep my experience neatly organized, and the Palace of Fine Arts is the very serious home of some very hard-earned degrees.
Feel free to wander around. Hover over landmarks to learn what they are, click to dig deeper, and don’t worry about getting lost. The best parts of San Francisco are usually found by accident.
Thanks for visiting. I hope you enjoy this city as much as I enjoyed building it. 🌁
Projects
PetTriage AI
Santa Clara University · GenAI Course · Jan 2026
Dual-agent veterinary triage system that answers "should I go to the ER?" in seconds, with a 4-layer safety system that hard-routes life-threatening symptoms. Shipped in a 10-day sprint.
PetTriage AI on GitHubFlex Competitive Intelligence
Flex Ltd. · SCU Practicum · 2026
AI platform tracking 5 contract manufacturers' AI capex across 405+ SEC filings, earnings calls, patents and job posts. A hybrid RAG + web-search pipeline that replaces five-figure SaaS with ~$30/month.
Flex Competitive Intelligence on GitHubLitLens
Santa Clara University · GenAI Course · 2025
Drag in 10 papers and get a literature review with contradictions, gaps, and an evidence-scored draft in ~2 minutes for about $0.01 — 8 LangGraph agents over a FAISS index.
LitLens on GitHubSmartReview
NLP Capstone · 2026
End-to-end NLP pipeline turning product reviews into sentiment (0.856 CV accuracy), aspect intelligence, per-category topics, and a confidence-gated /analyze API.
SmartReview on GitHubGreenCity Logistics Optimization
Prescriptive Analytics Capstone · team · 2026
Prescriptive model choosing which fulfillment centers to open and how to route to cut both cost and CO₂ — a 21.9% emissions reduction for +0.1% cost, across 5 model classes (LP/MIP/multi-objective/NLP) on Gurobi.
GreenCity Logistics Optimization on GitHubAgri-Intelligence Platform
Good Nature Agro (Zambia) · 2026
WhatsApp-native AI for 22K smallholder farmers — a 5-agent system delivering per-zone, per-risk-tier nudges and tool-grounded Claude chat in English, Bemba, and Nyanja.
Agri-Intelligence Platform on GitHubSpotify Post-Release Optimizer
Personal Project · Dec 2025
Analyzed 188K tracks to surface statistically significant album-sequencing patterns, then wrapped them in an AI chatbot that gives artists a personalized release playbook.
Spotify Post-Release Optimizer on GitHubAmazon India Pricing Strategy
Analytics Project
PM-framed analysis of ~550K SKUs — K-means category segmentation, a hit-prediction model, and a competitive 2×2 pricing matrix benchmarked against Flipkart.
Amazon India Pricing Strategy on GitHubStylometric AI-Text Detection
ML Project
Interpretable AI-vs-human text classifier on 11.5K samples with SHAP analysis — and an honest look at why aggregate accuracy hides near-random performance on paraphrased text.
Stylometric AI-Text Detection on GitHubTesla Workforce Optimization
Optimization Project
Linear-programming model for bilingual customer-support staffing that saves $100/day (2.2%) while satisfying every coverage constraint.
Tesla Workforce Optimization on GitHubLending Club Default Prediction
Santa Clara University · ML Course · 2025
Default-prediction on 887K loans using only origination-time features (no data leakage) — AUC 0.80 with a calibration-aware methodology.
Lending Club Default Prediction on GitHub
Experience
AI Product Manager (Practicum) — Santa Clara University
Jan 2026 – Present · Santa Clara, CA
- Defined scope and led end-to-end delivery of an AI-powered CapEx competitive-intelligence platform, cutting Flex's manual financial-analysis work by 70%
- Built NLP pipelines to extract strategic insights from earnings calls and investor communications
- Implemented a RAG application with vector search for natural-language querying of competitive datasets
Engineer — Product & Release — iGreenData – A Synechron Company
Oct 2022 – Feb 2024 · Bengaluru, India
- Led go-live of RTGS and ACH payment systems across Samoa, Fiji & Vanuatu — cut interbank settlement from up to 5 days to real-time, eliminating manual cheque-based processing
- Coordinated three APAC payment-system launches via stakeholder interviews and workflow mapping; identified mobile-money integration as the primary efficiency driver, cutting launch decision cycles by 30%
- Built 10+ operational dashboards in Tableau/Power BI tracking 50+ KPIs across 12 financial institutions and 500K+ users
- Automated ETL pipelines in Python, reducing manual reporting time by 40% and enabling self-service analytics
Associate Engineer — Product & Release — iGreenData – A Synechron Company
Sep 2021 – Oct 2022 · Bengaluru, India
- Built and maintained data pipelines supporting BI reporting for banking operations, ensuring data quality across multiple sources
- Built Tableau dashboards and automated reporting to track operational KPIs, improving data accessibility for business stakeholders
- Performed SQL and Python analysis to surface trends and anomalies in banking transaction data for operations and risk teams
Teaching
Graduate Teaching Assistant — Operations & Supply Chain Management / Supply Chain Finance — Santa Clara University
Jan 2026 – Present · Santa Clara, CA
- Selected by Prof. Gangshu Cai to support two graduate courses: ISBA 3300 (Operations & Supply Chain Management) and ISBA 2434 (Supply Chain Finance)
- Mentor 60+ graduate students through complex operations, supply chain, and finance concepts — leading discussions, breaking down coursework, and supporting their academic success
Education
M.S. in Business Analytics — Santa Clara University, Leavey School of Business
Sep 2024 – Dec 2026 · Santa Clara, CA
B.E. in Electrical & Electronics Engineering — SSN College of Engineering
2014 – 2018 · Chennai, India
Coursework
Data Analytics with Python, Machine Learning with Python, Prescriptive Analytics with Python, Database Management Systems (SQL), Math for Business & Analytics with R, Linear Algebra with Python, Dashboards with Tableau, Data Science in Marketing, Deep Learning, Natural Language Processing, Generative AI for the Enterprise, Big Data Modeling & Analytics, Artificial Intelligence, Software Project Management, Industry Practicum
Skills
Code & Data Foundations
Python, SQL, R, JavaScript, Git/GitHub, Jupyter, Pandas, NumPy, scikit-learn, PyTorch, XGBoost
Building with LLMs & Agents
RAG, LLMs, NLP, Multi-Agent Systems, LangGraph, LangChain, Hugging Face, NLTK, GPT-4o, Ollama, ChromaDB, Pinecone, FAISS, Claude Code, Cursor
Modeling & Experimentation
Feature Engineering, Hyperparameter Tuning, Model Evaluation, LLM Evaluation, A/B Testing, Gradient Boosting
Product Craft
PRDs, Product Roadmapping, Product Discovery, Market Research, Competitive Analysis, User Research, Stakeholder Management, Cross-functional Leadership, Release Management, Incident Management, Agile/Scrum, Kanban, Prototyping, Wireframing, Figma, Jira, Tableau
From Prototype to Production
FastAPI, Streamlit, Next.js, v0, Replit
Data, Optimization & Reliability
Data Modeling, ETL Pipelines, Gurobi, Splunk, New Relic
Spoken Languages
English, Hindi, Tamil
Contact
Email: srinidhi.jagan11@gmail.com
LinkedIn: https://www.linkedin.com/in/srinidhi-jagannathan-876998385/
GitHub: https://github.com/sjagannathan17
Based in Sunnyvale, California
