Experience

Six roles, one thread: turning messy operational data into systems people can trust — in retail supply chains, research labs, and classrooms.

Ofogh Koorosh Chain Stores logo

Supply Chain Expert · Ofogh Koorosh Chain Stores

Sep 2025 – Present
Tehran, Iran
Promoted from Supply Chain Planner (Sep–Dec 2025), where I supported Frozen and Meat supply and inventory planning.
  • Rebuilt the stocktaking algorithm from an experience-based Excel model into a logistic regression model with engineered features and optimized scoring weights, improving ROC-AUC by 20%.
  • Built a Python validation and anomaly-detection engine covering 27,000 SKUs that flags master-data errors and proposes corrections, combining business rules, statistical checks, ML, similarity matching, and AI-assisted suggestions.
  • Delivered 6 automation tools for the Frozen and Meat Supply teams, cutting 2–5 hour manual tasks to 10–15 minutes and 1–2 hour recurring reports to minutes.
  • Own master-data quality across 27,000 SKUs (6,000 active) — item naming, hierarchy, inventory and purchase multiples, packaging, and shelf labels; designed the Master Data Quality KPI and publish weekly and monthly supply chain reporting for 10 departments.
  • Product owner for 10+ cross-functional improvement projects: scoping requirements and NDAs, running discovery with subject-matter experts, and routing each initiative to in-house build, IT partnership, or full IT handover.
  • Redesigned the SKU inventory/purchase-multiple workflow so ordering continues correctly until existing warehouse stock depletes, and scoped the end-to-end data collection for a centralized SKU shrinkage and packaging database.
  • Trained 70–80 supply chain staff and department heads through a prompt engineering course and hands-on AI automation demonstrations.
Frankfurt Institute for Advanced Studies logo

Research Intern · Frankfurt Institute for Advanced Studies (FIAS)

Oct 2023 – Dec 2023
Frankfurt, Germany
  • Conducted computational research under Prof. Dr. Jochen Triesch, applying statistical and computational methods to research problems within a remote, international team.
Atomic Energy High School logo

Data Analyst · Atomic Energy High School

Jun 2021 – Feb 2023
Tehran, Iran
  • Analyzed semester examination results across all 12 grades and built a dashboard of university entrance exam (Konkoor) performance trends used by teachers and administrators for planning.
  • Contributed to the design and implementation of a secure online final-examination system, improving exam efficiency and integrity.
Iran's National Elites Foundation logo

Undergraduate Researcher · Iran's National Elites Foundation

Jan 2022 – Sep 2022
Tehran, Iran
  • Helped develop data-driven decision-making courses for managers at the Data for Governance Lab, Sharif Innovation Station.
University of Tehran logo

Teaching Assistant · University of Tehran

Sep 2020 – Feb 2022
Tehran, Iran
  • Taught Probability I, Statistical Methods, Linear Algebra, and Calculus II.

Education

University of Tehran

Bachelor of Applied Science (BASc), Statistics · 2019–2023

Tehran, Iran

Quera

Data Science Bootcamp, 12 weeks · 2023

Remote

Certifications

  • Essentials of Prompt Engineering — AWS, 2026
  • Deep Learning Essentials — IBM, 2022
  • Mathematical Optimization for Business Problems — Cognitive Class, 2022
  • Business Analysis & Process Management — Coursera, 2022