Egemen Eroglu

Data Engineer

Bosch•  October 2023 - Present•  Istanbul, Turkey

Developed a prescriptive machine learning algorithm to optimize production recipes, reducing scrap rates by 85% and improving production yield and cost efficiency. Implemented predictive maintenance and Remaining Useful Life (RUL) strategies using Hilbert Huang Transform, enhancing equipment reliability. Designed a recommendation system to reduce scrap rates during initial production runs. Developed Django web applications to productize solutions.(AI-SCREP, Data Integrity)

ML Researcher

Koc University•  July 2023 - July 2024•  Istanbul, Turkey

Collected and analyzed data on international financial institutions using ML algorithms and NLP techniques, improving IMF program prediction accuracy by 92%. Developed and implemented a machine learning model to predict loan sizes and IMF conditions, achieving a 90% enhancement in predictive accuracy.

DWH & Data Engineer

Halkbank•  July 2023 - October 2023•  Istanbul, Turkey

Played a key role in the Netezza to Oracle migration project, ensuring seamless transition of over 100 databases with minimal disruption. Developed robust ETL processes using IBM DataStage, facilitating efficient data integration and transformation across diverse systems and data sources.

Data Engineer-Team Lead

Jeton Digital•  March 2023 - June 2023•  England, United Kingdom

Led the migration of legacy systems to a cloud-based infrastructure, selecting and implementing an optimized data stack, resulting in a 40% reduction in infrastructure costs and enhanced scalability. Collaborated with stakeholders to design and optimize the data architecture, resulting in a 20% reduction in data storage costs.

Data Engineer

Jeton Digital•  September 2022 - March 2023•  England, United Kingdom

Developed and maintained a database backup, recovery plan, and retention policy, reducing downtime by 70%. Automated ETL processes using Apache Airflow and Docker, reducing manual workload by over 20 hours per week and handling daily loading of 1.5 million rows of data. Created a robust web application using Django to streamline data management across multiple teams and automate periodic report generation.

Data Scientist Intern

SmartOpt•  July 2022 - August 2022•  Istanbul, Turkey

Designed a Python optimization model using linear programming for optimal production planning, resulting in significant improvements in efficiency and resource utilization. Conducted extensive data analysis and statistical modeling to identify key factors, developing a dashboard using Power BI for comprehensive data visualization and insights.