Leon Efe Apaydın

Statistics student turning messy data into decisions.

Experience

Oct 2026 – Present
Health Systems, Insights & Analytics Intern · Philips
- Supporting the Insights & Analytics team with data analysis and reporting on commercial performance.
- Working on dashboards and recurring reports tracking key business metrics for a cross-regional team.
Sep 2026 – Oct 2026
Business Analytics & Growth Intern · Bluesense AI
- Performed app and web traffic analytics for Smart Beauty; set up event tracking across Firebase, GA4, App Store Connect and Google Play Console.
- Prepared one-pagers outlining growth opportunities for Smart Beauty; built a GA4 analytics dashboard with core funnel charts.
Aug 2025 – Sep 2025
Intern, Economic Research and Corporate Finance · Istanbul Chamber of Industry
- Contributed to macroeconomic research by analyzing inflation and industrial production indicators using TURKSTAT data.
- Contributed to macroeconomic reports through quantitative analysis of economic indicators.

Feb 2026 – Jul 2026
Erasmus+ Exchange Program · Universidade Nova de Lisboa (NOVA IMS)
Ranked 1st in the YTU Statistics Department Erasmus selection.
Sep 2024 – Present
B.Sc. in Statistics · Yıldız Technical University
Third-year student · GPA 3.44/4.00

Letterboxd Taste Analytics — Ranks every platform by rank correlation with the user and builds a six-axis "Taste DNA" profile.
Forecasting Portugal's GDP with ARIMA — ARIMA(3,1,0) won on the hold-out period with a MAPE of about 5.15%.
WhatsApp Groupchat Stats — Live on GitHub Pages; a Content-Security-Policy blocks every outgoing request.
Bloxorz AI Solver — Three search strategies solve the same levels, so their behaviour can be compared side by side.
Artist Lyrics Analysis — The resulting charts reached 300K+ organic views on LinkedIn.

Data Science Program Fellow (5% acceptance rate) — Google AI and Technology Academy, 2026
Forward Program participant — McKinsey & Company, 2025

Certifications: Google Data Analytics (Coursera) · Data Analyst in Python (DataCamp) · CS50P (Harvard) · SPL Level 3 Financial Literacy
Programming: Python · R · SQL · MongoDB
Methods: Statistical analysis · Machine learning · NLP · Time series forecasting · Data visualization
Languages: Turkish (native) · English (C1 · IELTS 8.0)
Tools: Pandas · NumPy · Scikit-learn · Power BI · Tableau · SPSS · GitHub · Matriks Data Terminal