Project Showcase
A collection of case studies across marketing, operations, healthcare, and e-commerce, each covering the business challenge, analytical approach, and practical outcomes.
Work Projects
Designed and delivered data-driven solutions and AI applications across e-commerce and product engineering, turning complex data into actionable insights and better decisions.
Skills: Databricks Apps, Genie, LangGraph, MLflow
Developed and deployed a multi-agent AI system integrating structured telemetry and domain knowledge to automate product issue investigation and deliver evidence-backed insights to engineering teams.
Skills: Presto SQL, Python, Linear Programming
Consolidated millions of logistics and order records into a unified dataset and built optimization models to allocate volume across 10+ delivery partners, ensuring SLA compliance and cost efficiency.
Skills: Budget Optimization, Cohort Analysis, Python
Created spend-allocation strategies for acquisition and retention, using cohort CLV and purchase behavior insights to drive the annual VIP roadmap.
Skills: EDA, K-Means, ROAS & CLV Forecasting
Segmented high-potential sellers, evaluated post-adoption sales through ROAS and CLV models, and proposed monetization strategies to optimize spend versus performance.
Academic & Personal Projects
Explorations from the MITB program and self-initiated projects, where I experiment with new tech stacks and document outcomes in slides and repos for accountability.
Skills: Python, Time-Series Demand Forecasting, Inventory Management, Transportation Optimization, Vehicle Routing
Built a data-driven bike rebalancing system combining demand forecasting, peak-aware inventory planning, transportation optimization, and vehicle routing to improve station availability and reduce operational inefficiency.
Skills: Python, Machine Learning, Time-Series Demand Forecasting, Scenario Analysis
Developed a machine learning–driven inventory planning framework that combines demand forecasting and SKU prioritization to reduce warehouse capacity while minimizing potential revenue loss.
Skills: Python, Machine Learning, MLOps, Airflow, MLflow, Docker
Developed an end-to-end machine learning pipeline to predict late e-commerce deliveries, with automated data processing, batch inference, model monitoring, and an operational dashboard for proactive logistics intervention.
Skills: Python, Machine Learning, MLOps, Data Engineering, Feature Engineering, Airflow, MLflow
Built an end-to-end MLOps pipeline to predict loan default risk, covering data transformation, time-based model validation, model training and selection, batch inference, performance monitoring, and governance.
Skills: Python, NLP, Retrieval-Augmented Generation (RAG), Information Retrieval, LLM Evaluation
Developed a RAG-based chatbot for Singapore history using hybrid retrieval, cross-encoder reranking, NLI consistency filtering, and refusal handling to deliver reliable, source-grounded answers.
Skills: Python, Statistical Analysis, Hypothesis Testing
Applied descriptive and inferential statistics to FairFood’s customer purchase data to uncover key drivers of purchases and provide actionable insights for marketing strategy.