Job Search Status
February 2019 ~ September 20198 mos- EDA and multivariate time series analysis of player rankings using PySpark and MLlib. - Future player ranking forecasting using shallow learning models (linear models, SVM, Random Forest, Boosting Trees like XGBoost, LightGBM) and deep learning models implemented with Keras and Tensorflow. - Acquired 0.9 R2 score using XGBoost on average by backtesting time series.
August 2018 ~ February 20197 mos- Implementation of a demo file analyzer using Golang. - 1.5 million data points collected by scraping several matchmaking servers using a self-implemented distributed web crawler created via Python (BS4) at the AWS (EC2, S3) platform. - Data labeling by aggregating data points using the TrueSkill algorithm on Python. - Preliminary exploratory data analysis, feature augmentation, and selection using Matplotlib, Seaborn, Plotly, Pandas, Pyspark, and Sklearn.
February 2017 ~ July 20176 mosProject : Hardware adaptor agent design and implementation using TCP-IP - Software Integration of new hardware using adaptor agent coded in Java and C/C++. TCP - IP communication between the agent and the main system. Project : Hardware input test tool, system and its UI design - Implementation of a hardware test tool that validates the correctness of user input.
École polytechnique fédérale de Lausanne (EPFL)
Computer Science, Machine Learning, 5.1/6 GPA
2017 ~ 2019
DescriptionDeep learning, Machine learning, Statistics, Applied DS, Data visualization.
Istanbul Technical University (ITU)
Computer Science, Computer Engineering, 3.7/4 GPA
2012 ~ 2017
DescriptionOOP Programming, Computer, and Software engineering.
Build Your Professional Network
Click icon on the company page or under talent search engine to start the conversation.