Elcin Ergin, Ph.D.

Data Scientist

Research Interests

  • Applications: Healthcare, Image Classification, Fast-fashion Retailing, E-commerce and Omni-channel Retail, Inventory Management

  • Methodologies: Machine Learning Techniques (Deep Learning, Transfer Learning, Classification Algorithms, Clustering Algorithms etc.)

Econometric Methods (OLS, Difference in Difference, Panel Data, Fixed Effect Models, Time Series Modelling etc.)

  • Languages, Technologies and Software: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, SciPy, Seaborn, pyodbc), SQL, R, MATLAB, MySQL, SQL Server, Tableau, STATA



  • E. Ergin, M. Gumus, N. Yang, "The Spread of Scarcity: Analysis of Intra-Firm Product Substitutability in Fashion Retailing", Annual Informs Conference , Phoenix, AZ, Nov 2018

  • E. Ergin, M. Gumus, "Inventory Allocation in the Presence of Store Switching Caused by Stock-outs", Annual Informs Conference , Houston,TX, Nov 2017 .

  • E. Ergin, M. Gumus, "Pricing Decisions in Fast Fashion Retailing Using Discrete Choice Dynamic Programming Model", Annual Informs Conference , Nashville,TN, Nov 2016 .

  • E. Ergin, M. M. Arat, C. Iyigun, I, Batmaz, "Short Term Electricity Load Forecasting via Nonparametric Methods", 26th European Conference on Operational Research (EURO-INFORMS) , Jul 2013 .