Hi, I’m
Oranich.

Performance Analytics Intern

• Connected 6 million train movements with 490,000 track-work records to measure how much longer trains take through work zones: 63.7 seconds per segment, about 70% longer than normal. Showed one department accounted for 89 hours of midday delay, and leadership agreed to shift that work overnight.
• Built automated data pipelines so teams could update the analysis daily and revisit earlier periods without repeating the manual work.

Data Scientist

• Optimized routes for 10,000 daily 7-Eleven deliveries, reducing planning time by 70% and operational costs by 8%.
• Trained a language model to split DHL Turkey’s free-text delivery addresses into street, building, district, and city fields at 98% accuracy, so routing systems could use them.
• Analyzed more than 2 million GPS records to help Japanese transit operators reduce inefficient off-peak trips by 30%.
• Automated daily operational monitoring with Slack alerts, saving each team member about four hours of manual investigation a day.

Data Analytics Intern (Automation)

• Automated eligibility checks and built scorecards to help teams review merchant requests for pricing exceptions, cutting turnaround from seven days to one.
• Evaluated tools that read text from images and improved document image quality, reducing the time needed to verify merchant onboarding documents by 85%.

Data Analytics Intern (Supply)

• Built a dashboard to help teams prioritize issues with hotel listings and trained them to use it, increasing the number of critical tasks resolved by 25%.
• Used SQL and language processing to find inconsistent room types in listing descriptions, improving detection by 120% compared with the existing rules.

M.S. in Operations Research

Applied Machine Learning, Optimization Models & Methods, Agentic AI, and Analytics on the Cloud.

B.Eng. in Robotics & AI Engineering

First Class Honors · Academic Excellence Scholarship (2022) · RoboCup, 2nd place.