Project Showcase
A collection of case studies across marketing, operations, 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: SQL, Python, K-Means Clustering, Seller Segmentation, Revenue Analysis, Monetization Analytics
Segmented high-potential sellers using K-Means clustering, evaluated seller package adoption, revenue performance, and seller ROAS before and after joining to find the best-performing monetization initiatives.
Skills: SQL, Python, Marketing Funnel Analysis, Cohort Analysis, Customer Lifetime Value (CLV)
Conducted end-to-end acquisition funnel and cohort analyses, tracking users from registration to first purchase and repeat transactions; evaluated channel effectiveness, customer lifetime value (CLV) and promotional incentives to identify acquisition strategies.
Skills: SQL, Python, Power BI, Conversion Funnel Analysis, Marketing Analytics, Budget Optimization
Analyzed traffic acquisition costs, conversion rates, customer acquisition costs and user quality across marketing channels to identify funnel inefficiencies and optimize budget allocation.
Skills: SQL, Python, A/B Testing, Hypothesis Testing, Statistical Analysis, Conversion Rate Optimization
Designed and evaluated A/B tests for promotional voucher schemes, measuring conversion uplift, subsidy efficiency and purchasing behavior to improve incentive structures and marketing ROI.
Skills: SQL, Python, Product Analytics, A/B Testing, User Behavior Analysis, Experimentation
Evaluated A/B experiments for e-commerce product features, measuring impacts on user engagement, purchasing behavior, and conversion rates to support data-driven rollout decisions.
Skills: SQL, Python, Customer Segmentation, Voucher Performance Analysis, Cannibalization Analysis, Cost Optimization
Analyzed shipping voucher performance across regions and customer segments, including acquisition, purchase frequency, seller segments, basket size, subsidies, and cannibalization to identify cost-effective targeting strategies.
Skills: SQL, Python, Power BI, Logistics Analytics, Cost Analysis
Developed a logistics cost dashboard to monitor shipping expenses and cost per order across regions, carriers, and services; analyzed cost drivers and budget variances to identify savings and support operational planning.
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, LangGraph, Agentic AI, Retrieval-Augmented Generation (RAG), End-to-End AI System & RAG Evaluation
Developed a multi-agent AI system to verify financial influencer claims against SEC filings, earnings reports, and corporate disclosures. The system integrates Financial Analysis, Narrative Evidence, and Auditor agents to evaluate claims, verify supporting evidence, and generate evidence-backed verdicts with source citations.
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.