ch saitulasi

I’m a results-driven Data Scientist focused on demand forecasting, demand sensing, data pipeline engineering, and supply chain analytics in global FMCG operations. Currently, I support Marico’s international markets—Bangladesh, Vietnam, and South Africa—through BodhiBytes by building scalable forecasting systems.

In my role, I’ve led demand forecasting and demand sensing, built automated Python-based data pipelines to process and structure raw supply chain data, and developed a Demand Sensitivity Model dashboard that lets stakeholders simulate forecast scenarios using business assumptions and market signals. I also extended an existing base forecast engine to onboard South Africa, including data ingestion, model calibration, and output integration into the supply chain planning workflow.

I aim to turn analytics into actionable decisions by interpreting forecast deviations, stock risk, and demand trends, and partnering with supply chain, sales, and operations teams to drive adoption. I’ve delivered strong outcomes—achieving 85% accuracy on 2-month forward demand forecasts—and strengthened my ML foundation through an internship where I improved a leaf disease detection model accuracy by 20% using TensorFlow and Scikit-learn.