Optimize Workforce Planning using Linear Programming with Python

Your team's AI coworker. Mention @iwan in Slack and get instant answers about who's available, what was decided, and how the team is allocated.

A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.

A leadership judgment game about team composition You're a new leader with a budget and a pool of candidates. Build your team of 5, face a series of real workplace scenarios, and find out what your choices actually reveal about your judgment. Inspired by Jim Collins' Good to Great and Tasha Eurich's research on leadership self-awareness.

Simulated operations case study comparing 4x10 vs 6x6-7 workforce allocation for throughput stability, backlog control, and labor-cost efficiency.

Comp Decoder is a compensation analysis tool that translates raw offer numbers — base, bonus, equity, benefits — into a clear picture of total compensation, market positioning, and negotiation leverage.

The Team Dynamics Puzzle is a lightweight, interactive demo designed to help leaders think differently about team composition. Instead of focusing on job titles or seniority, it explores how role balance and context shape team effectiveness.

M&A Leadership Simulator puts players in the seat of a leader navigating the human side of a merger — integration decisions, cultural friction, communication timing, and the moments where the deal that looked good on paper starts to unravel in the hallway.

CPFR collaborative planning replenishment

Interactive workforce decision intelligence demo. Built in 24 hours to simulate global workforce change before execution.

Warehouse labor planning workforce scheduling

Professional portfolio showcasing HR and People Analytics dashboards focused on workforce planning, attrition analysis, and operational performance using Excel and Power BI.

Workforce demand forecasting model for Nissan dealerships — time series analysis and predictive modeling (TCS project)

Warehouse labor productivity analytics with engineered standards

Workforce planning service with demand forecasting, labor optimization, shift management, and staffing recommendations

スキルと稼働量に基づいて最適アサインを行うツール / Skills & capacity–aware auto assignment tool (Python/Streamlit)

Time series modelling and FTE planning based on loan application data from a Big 4 Australian bank

Warehouse labor shift scheduling with demand-driven staffing

Retail Demand & Staffing Optimizer (v1) — FastAPI + Postgres backend that forecasts demand (store × SKU) using moving-average models and generates staffing plans to meet service-level targets. Includes Alembic migrations, Docker Compose, seed data, CI, Postman collection, and demo scripts.

Interactive workforce planning tool headcount forecasting, scenario analysis, hiring velocity, and cost projection