I'm a supply chain expert in Tehran who builds the data, ML, and automation pieces that keep retail operations running — from anomaly-detection engines to the KPI systems ten departments rely on every week.
Three kinds of pieces, one working system: the models that make better calls, the tools that remove manual work, and the ownership that keeps it all correct.
Rebuilt an experience-based stocktaking process into a logistic regression model with engineered features, lifting ROC-AUC by 20%. Built a validation engine across 27,000 SKUs combining business rules, statistics, ML, and similarity matching to catch master-data errors.
Delivered six automation tools that cut 2–5 hour manual tasks down to 10–15 minutes, and turned 1–2 hour recurring reports into a few minutes' work — built in Python, Excel, and REST APIs so teams keep their existing workflow.
Product owner for 10+ improvement projects spanning 10 departments — scoping requirements, running discovery with subject-matter experts, and training 70–80 staff and department heads on hands-on AI automation.
Promoted from Supply Chain Planner to Supply Chain Expert, I now own master-data quality across the full SKU catalog and the KPI reporting that ten departments read every week — while still shipping the automations and models that make the data worth trusting.