Education

• BSc. in Computer Engineering, Istanbul Technical University, 2021
• BSc. in Industrial Engineering, Istanbul Technical University, 2021
• PhD. in Artificial Intelligence and Autonomous Systems, Imperial College London, 2025 (expected)

Work experience

• September 2021 - May 2022: Machine Learning Engineer
  • Comcast
  • Reduced serving time to 12 ms by building the online feature store using SageMaker to daily ingest and serve in inference; deployed embedding/aggregated feature pipelines to online feature store to educe query amounts to database and response times.
  • Improved the performance of bidding models by decreasing cost-per-click by 9% through developing a sentence embedding model by integrating bidding features into sentences through an advanced natural language processing model, BERT.
• March 2021 - August 2021: Business Analyst
  • McKinsey & Company
  • Designed an IT transformation roadmap by examining alternative technologies and current infrastructure for the largest bank in Turkey.
  • Estimated 20% ROI increase in client’s sales by developing a machine learning based strategy in demand forecasting for transformers.

Internships

• March 2020 - March 2021: Intern for Visual AI
  • Intel
• July 2019 - September 2019: Business Analytics Intern
  • Procter & Gamble
  • Optimized the management of promotion budgets as boosting YoY ROI ratio by constructing a promotion efficiency prediction and recommendation tool with Python and rule-based machine learning methods whilst complying related GDPR rules.
• July 2018 - September 2018: Research Intern
  • Imperial College London
  • Boosted throughput rates in seconds and decreased the storage amount need by optimizing the compression algorithm using Go language in distributed versioned image deployment program to store high quality bioinformatics images.

Skills

• Python
  • TensorFlow
  • PyTorch
• C/C++
• Cloud programming
  • AWS (DynamoDB, SageMaker, EC2, S3)
  • Azure
• MATLAB

Publications

Text Analytics

Sivri, M.S., Korkmaz, B.S. (2022). "Text Analytics." In: Ustundag, A., Cevikcan, E., Beyca, O.F. (eds) Business Analytics for Professionals. Springer Series in Advanced Manufacturing. Springer, Cham.

Data Driven Modelling of Centrifugal Compressor Maps for Control and Optimization Applications

B. S. Korkmaz and M. Mercangöz, (2022). "Data Driven Modelling of Centrifugal Compressor Maps for Control and Optimization Applications." 2022 European Control Conference (ECC), London, United Kingdom, 2022, pp. 2260-2265.

From Statistical to Deep Learning Models: A Comparative Sentiment Analysis Over Commodity News

M. S. Sivri, B. S. Korkmaz, A. Ustundag, (2022). "From Statistical to Deep Learning Models: A Comparative Sentiment Analysis Over Commodity News. " Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2.

Ensemble Learning Based Stock Market Prediction Enhanced with Sentiment Analysis

M. S. Sivri, A.Ustundag, B. S. Korkmaz. (2022). "Ensemble Learning Based Stock Market Prediction Enhanced with Sentiment Analysis." Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2.

Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems:The ARTEO Algorithm

B.S. Korkmaz, M. Zagorowska, M. Mercangoz, (2022). "Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm." https://arxiv.org/abs/2211.05495.