☕️Data Scientist | Machine Learning Engineer
About Me
Experienced Data Scientist and Machine Learning Engineer with 4+ years of expertise in developing AI solutions, including a 93%-accurate sentiment analysis model and a churn prediction system that improved retention for 1,500+ accounts. Proficient in Python, SQL, deep learning, computer vision, and NLP, with a proven track record of driving business impact, such as reducing complaint calls by 50% and generating $20,000 in revenue. Skilled in mentoring teams, optimizing workflows, and contributing to research with papers submitted to top conferences.
Interests
- Deep Learning
- Computer Vision
- Natural Language Processing
- Reinforcement Learning
Education
MSc Computer Science
University of Tennessee
Recent Publications
(2024).
DIFFUE: Towards More Robust Unlearnable Examples Leveraging Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2023).
Sentiment Analysis in Turkish Using Transformer-Based Deep Learning Models.
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering.
(2023).
Transfer Learning Based Flat Tire Detection by Using RGB Images.
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering.
(2023).
Twitter-informed Prediction for Urban Traffic Flow Using Machine Learning.
2022 6th International Conference on Universal Village (UV).
(2022).
Utilizing Machine Learning to Predict Offshore Wind Farm Power Output for European Countries.
2022 11th International Conference on Renewable Energy Research and Application (ICRERA).