HI, MY NAME IS
Amin Aghalari.
I am a
Self-driven, quick starter, and passionate programmer with a curious mind who enjoys solving large-scale supply chain and machine learning problems.
About Me
Data Scientist with 5+ Years in Applied AI, Optimization & Scalable ML Solutions. Expert in designing and deploying end-to-end machine learning and optimization systems that drive impact across supply chain, logistics, and operations. Proven ability to solve complex business challenges with data-driven strategies. Known for delivering high-value solutions in cross-functional, fast-paced environments—and for translating technical depth into actionable insights for business leaders.
Core Competencies & Stack
Work Experience
Senior Manager, Data Science
Walmart
- Walmart e-commerce middle-mile network optimization — Developed a MIP model for optimizing SKU placement across Walmart next-gen and conventional FCs. — Coordinated in developing a multi-commodity fixed-charge network flow model for designing 2-tier storage facilities.
- Sam’s Club New Asset Strategy — Developed machine learning models to predict market penetration and potential GMV lift at the H3 geo-spatial resolution. — Designed mathematical model and heuristics to identify optimal site placements across the U.S., maximizing business GMV. — Built an interactive Streamlit dashboard enhanced with generative AI capabilities to present analytics to executive stakeholders.
Senior Data Scientist
Walmart
- Walmart e-commerce middle-mile network optimization — Coordinated architectural design of a multi-commodity network flow model optimizing the middle-mile e-commerce framework (improving 1/2-day delivery rate by 7-10% in FY26, driving a $250M GMV lift). — Developed an XGBoost model leveraging spatial features to predict inefficient paths, filtering them from large-scale execution space to cut model runtimes by 30%.
- Walmart e-commerce last-mile network optimization — Engineered a multi-channel location-routing engine to construct parcel station delivery layouts (Projecting $450M in transportation efficiency savings by FY30). — Created mixed-fleet optimization algorithms to identify ideal asset deployments inside dynamic station lines ($26M projected savings). — Designed store-clustering layers to scale Available-To-Sell (ATS) metrics (~20%+ optimization curve across nodes).
Graduate Research Assistant
Mississippi State University
- Developed mathematical models and heuristic algorithms for electric vehicle routing, biofuel operations, and complex drone logistics layouts.
- Implemented hybrid decomposition schemes inside Gurobi to execute heavy stochastic optimization frameworks.
- Built production machine learning architectures (Random Forest, Naïve Bayes) translating biological matrices into active predictions with 90% accuracy.
Education
Ph.D. Industrial & Systems Engineering
Mississippi State University
Starkville, MS, USA
M.Sc. Industrial & Systems Engineering
Sharif University of Technology
Tehran, Iran
B.Sc. Industrial Engineering
Sharif University of Technology
Tehran, Iran
Honors & Awards
Recognized as a Top 10% Data Scientist in CENTROID Organization, Walmart, USA, 2025
Made a Difference (MAD) Award, Walmart, USA, 2024
ISE Outstanding Ph.D. Student and Best Student Paper Awards, Mississippi State University, USA, 2021
President of INFORMS Student Chapter at Mississippi State University, 2021 - 2022
Selected Publications
Get In Touch
My inbox is always open if you want to collaborate on operations research modeling, machine learning setups, or logistics architecture pipelines.