Hello! I'm Emre, a Computer Science student at Bilkent University with a passion for AI, optimization, and data science. I'm fascinated by the challenges of algorithmic problem-solving and the power of data analytics to drive meaningful insights.
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Chess AI: A project focused on developing a chess engine by integrating various machine learning, AI, and optimization algorithms to enhance strategic gameplay. Still working on.
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Fantasy Premier League Recommender System: Utilized a Random Forest Regressor for player points prediction and a SCIP solver for team selection optimization, significantly surpassing average FPL manager points.
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Life Pattern Analysis Across Demographics: Implemented in Scala and Apache Spark, this project analyzed time allocation across demographics, managing large datasets efficiently to extract actionable insights.
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KMeans Clustering Algorithm Project: Developed in Scala, this project showcases a KMeans clustering algorithm with a focus on performance optimization and algorithm efficiency through parallel execution.
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BilConnect Second-Hand Sale Website: Contributed to backend development using C# and ASP.NET, focusing on robust system design, data management with Azure SQL, and user authentication mechanisms.
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15 Numbers Puzzle: A Java-based project implementing a 15-number sliding puzzle that includes an automated solver to assist in arranging the tiles in sequential order.
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Pathfinding and Sorting Algorithms Visualized: A Python application using Pygame to visually demonstrate pathfinding and sorting algorithms, enhancing the learning experience.
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Viral-Epidemic-Simulator: A Java desktop application using LibGDX to simulate pandemic scenarios and measure the effectiveness of interventions like curfews and masks, incorporating Dijkstra’s algorithm for movement simulation.
