HELLO, I'M
Itai Kohn.
Still learning, always building. More below 👇
Itai Kohn
B.Sc. & M.Sc. Student | Industrial Engineering & Management | AI, ML & Intelligent Systems
itaik1150@gmail.com
052-6088949
About Me.
B.Sc. & fast-track M.Sc. student in Industrial Engineering, specializing in AI, Machine Learning, and Intelligent Systems. Currently researching Deep Reinforcement Learning for robotics. Seeking a student role in R&D, AI, data, or automation to tackle real-world challenges through smart technology .
Education
2021-2025
B.Sc. in Industrial Engineering and Management
Ben-Gurion University of the Negev
Specializing in Intelligent Systems (AI, ML, automation), with strong skills in programming, data analysis, and statistical modelling. GPA: 86
2025-2027
M.Sc. in Industrial Engineering and Management
Ben-Gurion University of the Negev
Fast-track M.Sc. program in Intelligent Systems, with a focus on learning and decision-making in robotics.
Work Experience
2023-2025
Supply Chain Coordinator
Bayer AG
● Independently manage inventory of ~40 medical products within a stock of 100+, leveraging SAP, QV, and Excel for data analysis and decision-making. Optimize supply chain processes while coordinating with global suppliers, shippers, and internal departments (Finance, QA, Regulatory Affairs) .
● Identified inefficiencies in invoice processing and developed automation tools (Excel VBA, SAP macros), reducing processing time by over 90% and integrating them into daily operations. Currently refining and enhancing these tools to improve workflow automation.
Projects
2025-2027
TurtleBot DRL Navigation (M.Sc. Thesis)
2024
Diabetes Prediction Modelling
2024
AI Algorithm Engineering and Search Optimization
Researching and developing a novel learning approach for robotic task acquisition, using Deep Reinforcement Learning in a simulated maze environment with a TurtleBot3. (PPO, Stable-Baselines3, OpenAI Gym, ROS, Gazebo, Python, behavioral data analysis, statistical evaluation).
Developed supervised learning models (neural networks, decision trees, random forests) for diabetes diagnosis using real-world datasets. Final solution combined all models into a voting-based ensemble to boost performance. The project was ranked among the top in the Machine Learning course. (Python, Scikit-learn, NumPy.
Implemented heuristic search and classification algorithms (A*, hill climbing, genetic algorithms, K-beams, decision trees) to solve state-space and predictive problems. Achieved fast and efficient solutions across diverse search scenarios through tailored algorithm design and effective use of computing resources via parallel processing. (Python, heuristic algorithms, parallel computing).
2023-2024
Python Automation & Web Projects
Built multiple automation and web-based tools, including a flight price tracker, stock alert system, weather notifier, e-commerce scraper, and automated email/SMS alerts. (Python, REST APIs, Pandas, BeautifulSoup, Selenium, Git, HTML/CSS).