Switzerland
• Currently pursuing an MSc in Management, Technology & Entrepreneurship with a Data Science minor at EPFL, awarded the Master Excellence Fellowship (CHF 20,000/year, top ~1% merit-based) • 5+ years of experience applying analytics and machine learning to solve business challenges. • Led projects in product segmentation, sales forecasting, and recommender systems. • Skilled in Python, R, SQL, advanced statistical methods, and data visualization. • Interested in reading about cognitive biases, logical fallacies, and decision-making. • Ranked 1st in class at Sabancı University (BSc GPA 3.93 / MSc GPA 3.95), where my Master’s thesis focused on data-driven inventory and production decision-making for a major tire manufacturer.
-Created a crowdsourced SBS × NPS offline metric pipeline for search quality. -Analyzed large-scale search logs to model user intent and relevance. -Built KPI dashboards (DAU, CTR) for product teams. -Delivered insights driving SERP and feature decisions. -Designed and evaluated experiments in Python and SQL.
-Developed and monitored product recommendation models to increase sales revenue by collaborating with researchers and data engineers. -Enhanced model performance through rigorous data analysis, feature engineering, and customer segmentation. -Applied A/B testing and statistical bootstrapping to refine modeling methods and metrics.
-Conducted data-driven analysis to optimize Brisa’s operations and sales channels. -Built a machine learning-based scoring model to segment and prioritize tire SKUs. -Enhanced inventory efficiency and reduced excess stock through improved SKU management.
Teaching Assistant (Decision Analysis, Simulation, Operations Research, Production and Service Systems Operations)
-Researched the impact of human intervention on ML models and optimized forecasting accuracy through a combined methodology. -Designed a hybrid forecasting system integrating human expertise with machine learning to improve inventory management at Unilever.