Currently working on Machine Learning, Deep Learning and Deep Reinforcement Learning.
Global
- WiDS Datathon 2024 Challenge #1 - 8th / 670 (Top 1%) (Kaggle) [Mar 2024]
- Linking Writing Processes to Writing Quality - 23rd / 2256 (Top 1%) (Kaggle) (Github) [Jan 2024]
- Kaggle - LLM Science Exam - 17th / 2664 (Top 1%) (Kaggle) [Oct 2023]
- Image Matching Challenge 2023 - 39th / 494 (Top 8%) (Kaggle) (Github) [Jun 2023]
- Learning Equality - Curriculum Recommendations - 31st / 1057 (Top 3%) (Kaggle) (Github) [Mar 2023]
- OTTO – Multi-Objective Recommender System - 28th / 2587 (Top 2%) (Kaggle) (Github) [Feb 2023]
- Foursquare - Location Matching - 55th / 1079 (Top 6%) (Kaggle) [Jul 2022]
- H2O.ai Wildfire & Bushfire Challenge - 1st / 17 (Github) [Apr 2022]
Turkey
- Türkiye İş Bankası ML Challenge #5 - 1st / 284 (after presentations) (Kaggle) [Oct 2023]
- Shell Cashflow Datathon 2023 - 3rd / 72 (after presentations) (Kaggle) [Jun 2023]
- Migros Datathon - 3rd / 186 (Kaggle) [Dec 2022]
- GDZ’22 Datathon (Case-2) - 3d / 72 (after presentations) (Kaggle) [Sep 2022]
- Teknofest'22 - 1st (Github) [Sep 2022]
- Borusan Datathon - 1st / 84 (after presentations) (Kaggle) [Jul 2022]
- Anadolu Hayat Emeklilik Datathon - 1st / 114 (Kaggle) [May 2022]
- EnerjiSA Üretim Hackathon - Kaggle Phase - 1st / 128 (Kaggle) [May 2022]
- EnerjiSA Enerji Datathon - 1st / 207 (after presentations) (Kaggle) [Mar 2022]
- Doğuş Otomotiv Datathon - 5th / 52 (3rd / 15 among finalists from three different competitions after presentations) (Kaggle - Preprocessing) (Kaggle - Train & Inference) [Nov 2021]
- Türkiye İş Bankası ML Challenge #3 - 5th / 117 (Github) [Feb 2021]
- Anadolu Sigorta Datathon - 3rd / 36 (after presentations) (Github) [Dec 2020]
- Systems and methods for predicting remaining useful life in batteries and assets (Pt1 - Pt2 - Pt3 - Pt4 - Pt5 - Pt6) [2023 - USPTO]
- System and method For using artificial intelligence to detect lithium plating (Pt1 - Pt2) [2023 - USPTO]
- Monocular 3D Object Detection by Leveraging Self-Supervised Visual Pre-training (link) [2021 NeurIPS - ML4AD Workshop]
- Investigating Value of Curriculum Reinforcement Learningin Autonomous Driving Under Diverse Road and Weather Conditions (link) [2021 IEEE Intelligent Vehicles Symposium Workshops]
- Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents (link) [2020 IEEE Intelligent Vehicles Symposium]
- Estimating Revenue using in-app User Events (link)
- Building and Running GANs, SR-GANs and VAEs on Icons (link)
- Self-Diffusion on Graphs for Image Segmentation (link)
- Correlation Analysis of Graph Centrality Measures (link)
- Crime Network Analysis (link)
- Girvan-Newman Implementation for Highest Graph Modularity (link)