About

I am a PhD candidate in Business Analytics & Operations Management with strong academic training and applied experience in data-driven decision-making. My work focuses on transforming complex data into actionable insights for forecasting, optimization, and strategic planning problems. My thesis involves inventory management of ATM cash allocation and forecasting of cash demand.

In parallel with my academic work, I am an active quantitative trader, applying statistical and data-driven methods to financial markets.

Profile Highlights

• Applied researcher at the intersection of analytics, operations, and decision science
• Strong focus on forecasting, optimization, and uncertainty-aware modeling
• Experience translating quantitative models into business-relevant insights
• Active quantitative trader with a strong interest in systematic and data-driven trading strategies
• Comfortable working across research-oriented and industry-facing environments

Core Expertise

• Analytics & Modeling

  • Demand forecasting and time-series analysis
  • Optimization and inventory / capacity planning
  • Simulation and decision-making under uncertainty

• Quantitative Methods

  • Statistical modeling and empirical analysis
  • Machine learning for structured and tabular data
  • Performance measurement and model evaluation

• Quantitative Trading & Markets

  • Systematic analysis of market data across asset classes
  • Market regime detection using statistical and machine learning models
  • Strategy research based on historical price, volume, and volatility dynamics

Tools & Technologies

• Programming / Coding

  • Python, SQL

• Data Visualization & Dashboards

  • Tableau, Power BI, Matplotlib

• Databases

  • PostgreSQL, MongoDB

• Cloud Platforms

  • AWS, Azure, Oracle Cloud

Markets & Instruments

• Asset Classes

  • Equities, Futures, Options, Forex, Cryptocurrencies

• Derivatives Knowledge

  • Options pricing concepts, volatility, and Greeks
  • Futures and derivative-based hedging and speculation

Education

• PhD in Business Analytics & Operations Management
  Sabancı University (2014 – Present)

• MSc in Business Analytics
  University of Edinburgh (2022 – 2023)

• Exchange Semester
  ICD Business School (2020)

• Bachelor of Business Administration
  ADA University (2017 – 2022)

Professional Interests

• Quantitative trading and systematic strategy research
• Applied business analytics and quantitative research
• Data science roles requiring strong analytical rigor
• Research-driven teams solving real-world operational and financial problems