Hasan Ogul Cinar
Industrial Engineer
Solving complex business problems through data, structure, and execution.
Passionate about supply chain, product & business development.
About
Who I Am
I'm an Industrial Engineer with a strong analytical foundation and a drive to turn complex data into clear business decisions. I thrive at the intersection of structure and execution — breaking down ambiguous problems, building frameworks, and delivering outcomes that move the needle.
I'm drawn to industries where scale, speed, and precision matter, which is why I'm targeting Energy, Mobile Gaming, and FMCG. Within those, my focus is on Business Development, Product, and Supply Chain roles.
Career
Experience
Internships across procurement, marketing, and finance — built on a foundation of engineering projects and cross-functional teamwork.
Community
Extracurricular & Volunteer Experience
- Virtual Exchange – International Students, Georgia State University (2025).
- Executive Committee Member, Search and Rescue Club, Sabancı University (2024).
- Organized IMIS'23 Summit for 900+ attendees as Coordinating Team Member, Industrial Engineering Society (2023).
- Tutored primary school students in mathematics and sports, Civic Involvement Project (2022).
Interests
Portfolio
Projects
From my graduation capstone to optimization, business strategy, innovation, and data science work — click a group card to expand its sub-projects.
AI-Powered ERP Decision Support — Graduation Project
Capstone project (ENS 491-492, Sabancı University): an interdisciplinary ERP decision-support platform for SMEs, built with an 8-member team. Modeled real business processes in four sectors — retail, logistics, construction, and architecture — with BPMN, structured decision logic, and KPI frameworks; then built an AI conversational ERP assistant on top, using a Retrieval-Augmented Generation (RAG) pipeline over sector-specific ERP knowledge with persistent multi-session chat and a web interface.
View Report →Energy Systems Modeling & Optimization
ENRG 420 course portfolio: four optimization projects spanning energy hubs, electricity & reserve markets, renewable system resilience, and hydrogen microgrids — built with LP/MILP models in Python.
View 4 Sub-Projects ▾Energy Hub Simulation & Optimization
Modeled a multi-energy hub integrating CHP, heat pump, boiler, and thermal storage. Compared LP vs. MILP formulations and ran scenario analyses on CHP efficiency and capacity reduction to quantify cost and technology-utilization impacts.
View Report →Price-Based Energy & Reserve Market Scheduling
Built a profit-maximizing MILP scheduling model covering thermal generators, renewables, battery storage, and demand response across energy and reserve markets — quantifying the value of binary on/off, startup, and shutdown decisions.
View Report →Renewable System Resilience & Cost Optimization
Developed an LP cost-minimization model in Python (PuLP + CBC) over a 288-hour horizon and stress-tested it across 20 scenarios — quantifying the system value of hydro, demand response, energy efficiency, storage, and EV flexibility.
View Report →Multi-Energy Microgrid with Hydrogen Storage
Optimized a microgrid combining solar, wind, diesel, battery, and hydrogen storage (electrolyzer + fuel cell) with grid trading and emission caps. Benchmarked LP vs. MILP under a low-renewable-availability scenario.
View Report →Optimization & Operations Research
Operations research portfolio: four Gurobi-powered optimization projects covering distribution network design, exact & heuristic routing, facility location, and large-scale asymmetric TSP heuristics — all built in Python.
View 4 Sub-Projects ▾Multi-Commodity Distribution Network Design
Designed a cost-optimal distribution network routing three commodity classes from regional distribution centers to retailers across a 10-node, 16-arc network. Formulated a fixed-charge, capacitated multi-commodity flow MILP in Python/Gurobi — jointly optimizing route activation and pallet flows to deliver the minimum-cost network configuration.
View Report →Route Optimization — Exact & Heuristic TSP
Solved a multi-stop routing problem end-to-end: built a Gurobi MILP with Miller-Tucker-Zemlin subtour elimination for the provably optimal tour, then benchmarked nearest-neighbor construction, Clarke-Wright savings, and 2-opt local search against it — the improved heuristic tour matched the exact optimum.
View Report →Strategic Facility Location & Capacity Planning
Developed a full decision-support workflow for warehouse siting — center-of-gravity screening and total annual cost analysis across candidate regions, a Gurobi MILP to select the best site while re-optimizing shipment flows, and a generalized model with capacity expansion options and unmet-demand penalties.
View Report →Assignment-Based Patching Heuristic for Large-Scale ATSP
Engineered a scalable pipeline for the asymmetric TSP where exact methods become impractical: solves an assignment relaxation with Gurobi, detects subtours, and iteratively merges them via minimum-cost-increase patching — with a pandas/NumPy ingestion layer that auto-cleans cost matrices from unstructured Excel files.
View Report →Kanban Production System — Simulation-Based Optimization
Built an Arena discrete-event simulation to assess how Kanban levels, arrival patterns, and machine repairs affect throughput and WIP. Performed Python-based input analysis and scenario testing to quantify service-level and improvement trade-offs. Includes the full report and the Arena model file.
Download Report & Model →Business & Global Strategy
International business portfolio: a market-entry strategy for Tesla in Kenya and a cross-cultural virtual exchange study on alternative financing for SMEs in the MENA region — developed with Georgia State University.
View 2 Sub-Projects ▾Tesla — Kenya Market Entry Strategy
Strategic analysis (MGMT 403) of Tesla's energy-led entry into Kenya as the gateway to the East African Community — covering the political and institutional environment, economic conditions, and a phased, hub-based internationalization plan spanning grid-scale storage, charging infrastructure, and EVs for a 300M+ regional market.
View Report →Alternative Financing in the MENA Region — Virtual Exchange
Cross-cultural team project with Georgia State University (BUSA 4000 Global Business): analyzed the barriers, opportunities, and future outlook of alternative financing — crowdfunding, peer-to-peer lending, and fintech — as a growth lever for SMEs across the MENA region, collaborating in an international virtual team.
View Report →BuildTrust — AI-Powered Construction Quality Platform
Team innovation project (ORG 404, Sabancı University): took a real problem — homebuyers and renters can't verify construction quality before moving in — through a full design-thinking cycle: benchmarking, pain storming, competitor analysis, concept testing, and user interviews. The result is BuildTrust, a freemium platform concept combining AI risk scoring, blockchain material certification, IoT structural monitoring, and AR inspection — backed by a business and financial model.
Download Report & Slides →Gaming, Sleep & Smoking — Personal Data Science Study
A self-tracked data science project over 47 days of personal data — match history pulled via the Riot Games API, sleep from an Apple Watch, and manually logged cigarette counts — analyzed in Python/Jupyter. Ran EDA, correlation analysis, and hypothesis tests (gaming hours vs. smoking: r = 0.85, p < 10⁻¹⁰; gaming vs. sleep: weak, not significant), then benchmarked regression models including Random Forest and Decision Tree.
View on GitHub →Capabilities
Skills & Tools
A blend of quantitative rigor and commercial instinct.
Turkish — Native · English — Professional
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