RosterLogic - Workforce scheduling rule engine
Designed and deployed a policy-agnostic decision engine automating roster resolution and compensatory day lifecycle for 900+ employees across distributed sites. Replaced error-prone manual reconciliation with deterministic, auditable automation.
Core skills: Systems Design, Rule Engines, WFM, Google Apps Script

Email Orchestrator - Google Workspace automation library
Built a configuration-driven automation engine that removed copy-paste toil in high-volume operational reporting. Deployed across WFM and Operations teams, powering 20 to 40 reports a day. Reduced recurring reporting effort by 60%.
Core skills: Google Apps Script, API Integration, Automation Frameworks

Grocery Demand Forecasting - Decision-first forecasting
Benchmarked a LightGBM forecaster against the baseline a planning team would actually use, scored in stockout and overstock cost rather than accuracy alone. Includes temporal cross-validation, Forecast Value Add, and explicit unattended-vs-overlay boundaries.
Stack: Python, LightGBM, Pandas

RapidKL Ghost Bus - Public transport reliability analysis
Quantifying service gaps in KL Metro by comparing scheduled vs. actual arrivals. Building datasets around schedule adherence failures, route-level performance, and peak-hour reliability.
Stack: Python, Pandas, React, PostgreSQL, Public Transport APIs

Core Languages

Google Ecosystem

Data & Automation
Pandas Forecasting Data Pipelines Workflow Automation RESTful APIs

Interested in: Workforce Analytics, Operations, and Forecasting roles combining capacity planning, automation, and systems design
Background: Google Data Analytics Professional Certificate | 3+ years in WFM, operations analytics, and process automation