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AI specialist and PhD candidate in Computer Science with extensive experience as a Quantitative Analyst. Expert in leveraging machine learning, data analysis, and predictive modeling to solve complex problems and deliver cutting-edge solutions. Passionate about turning AI research into real-world impact. Machine Learning Engineer | KDB+ Developer Yugo Strategic Advisors LLC New York, NY, USA 03/2022 - 05/2024 • Spearheaded the development of a high-efficiency data ingestion feed handler, optimizing the performance of tickerplant systems. • My initiative to study new technologies, including Q/KDB+, not only enhanced system capabilities but also played a pivotal role in attracting new customers and increasing the client base by 10%. • Implemented a feed handler to enhance data ingestion efficiency, operated the tickerplant seamlessly in batching and non-batching modes, and offered expert support for kdb+ systems, actively contributing to upgrades and testing. • End-to-end deployment of 3 applications: building ML pipelines from scratch(with Python and various learning algorithms) and deploying on the cloud • Conducted technical interviews for 50+ software engineers, assessing skills and cultural fit, and provided mentorship to a group of 8 team members, guiding them through the kdb+ learning process and supporting their professional development . Data Scientist Yugo Strategic Advisors LLC New York, NY, USA 03/2021 - 03/2022 • Developed predictive models, improving investment returns by 15%, and created financial dashboards, enhancing decision-making efficiency by 20%. • Utilized machine learning to identify financial market patterns, boosting prediction accuracy and competitive advantage. • Achieved accurate and timely financial data processing, developed interactive dashboards with technical indicators, and excelled in data storytelling, facilitating informed decision-making and providing actionable insights to stakeholders. • Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms.…AI specialist and PhD candidate in Computer Science with extensive experience as a Quantitative Analyst. Expert in leveraging machine learning, data analysis, and predictive modeling to solve complex problems and deliver cutting-edge solutions. Passionate about turning AI research into real-world impact. Machine Learning Engineer | KDB+ Developer Yugo Strategic Advisors LLC New York, NY, USA 03/2022 - 05/2024 • Spearheaded the development of a high-efficiency data ingestion feed handler, optimizing the performance of tickerplant systems. • My initiative to study new technologies, including Q/KDB+, not only enhanced system capabilities but also played a pivotal role in attracting new customers and increasing the client base by 10%. • Implemented a feed handler to enhance data ingestion efficiency, operated the tickerplant seamlessly in batching and non-batching modes, and offered expert support for kdb+ systems, actively contributing to upgrades and testing. • End-to-end deployment of 3 applications: building ML pipelines from scratch(with Python and various learning algorithms) and deploying on the cloud • Conducted technical interviews for 50+ software engineers, assessing skills and cultural fit, and provided mentorship to a group of 8 team members, guiding them through the kdb+ learning process and supporting their professional development . Data Scientist Yugo Strategic Advisors LLC New York, NY, USA 03/2021 - 03/2022 • Developed predictive models, improving investment returns by 15%, and created financial dashboards, enhancing decision-making efficiency by 20%. • Utilized machine learning to identify financial market patterns, boosting prediction accuracy and competitive advantage. • Achieved accurate and timely financial data processing, developed interactive dashboards with technical indicators, and excelled in data storytelling, facilitating informed decision-making and providing actionable insights to stakeholders. • Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms.

Dmytro Kocherzhenko

AI Engineer, Back-End Developer, Data Scientist, +1

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AI specialist and PhD candidate in Computer Science with extensive experience as a Quantitative Analyst. Expert in leveraging machine learning, data analysis, and predictive modeling to solve complex problems and deliver cutting-edge solutions. Passionate about turning AI research into real-world impact. Machine Learning Engineer | KDB+ Developer Yugo Strategic Advisors LLC New York, NY, USA 03/2022 - 05/2024 • Spearheaded the development of a high-efficiency data ingestion feed handler, optimizing the performance of tickerplant systems. • My initiative to study new technologies, including Q/KDB+, not only enhanced system capabilities but also played a pivotal role in attracting new customers and increasing the client base by 10%. • Implemented a feed handler to enhance data ingestion efficiency, operated the tickerplant seamlessly in batching and non-batching modes, and offered expert support for kdb+ systems, actively contributing to upgrades and testing. • End-to-end deployment of 3 applications: building ML pipelines from scratch(with Python and various learning algorithms) and deploying on the cloud • Conducted technical interviews for 50+ software engineers, assessing skills and cultural fit, and provided mentorship to a group of 8 team members, guiding them through the kdb+ learning process and supporting their professional development . Data Scientist Yugo Strategic Advisors LLC New York, NY, USA 03/2021 - 03/2022 • Developed predictive models, improving investment returns by 15%, and created financial dashboards, enhancing decision-making efficiency by 20%. • Utilized machine learning to identify financial market patterns, boosting prediction accuracy and competitive advantage. • Achieved accurate and timely financial data processing, developed interactive dashboards with technical indicators, and excelled in data storytelling, facilitating informed decision-making and providing actionable insights to stakeholders. • Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms.…AI specialist and PhD candidate in Computer Science with extensive experience as a Quantitative Analyst. Expert in leveraging machine learning, data analysis, and predictive modeling to solve complex problems and deliver cutting-edge solutions. Passionate about turning AI research into real-world impact. Machine Learning Engineer | KDB+ Developer Yugo Strategic Advisors LLC New York, NY, USA 03/2022 - 05/2024 • Spearheaded the development of a high-efficiency data ingestion feed handler, optimizing the performance of tickerplant systems. • My initiative to study new technologies, including Q/KDB+, not only enhanced system capabilities but also played a pivotal role in attracting new customers and increasing the client base by 10%. • Implemented a feed handler to enhance data ingestion efficiency, operated the tickerplant seamlessly in batching and non-batching modes, and offered expert support for kdb+ systems, actively contributing to upgrades and testing. • End-to-end deployment of 3 applications: building ML pipelines from scratch(with Python and various learning algorithms) and deploying on the cloud • Conducted technical interviews for 50+ software engineers, assessing skills and cultural fit, and provided mentorship to a group of 8 team members, guiding them through the kdb+ learning process and supporting their professional development . Data Scientist Yugo Strategic Advisors LLC New York, NY, USA 03/2021 - 03/2022 • Developed predictive models, improving investment returns by 15%, and created financial dashboards, enhancing decision-making efficiency by 20%. • Utilized machine learning to identify financial market patterns, boosting prediction accuracy and competitive advantage. • Achieved accurate and timely financial data processing, developed interactive dashboards with technical indicators, and excelled in data storytelling, facilitating informed decision-making and providing actionable insights to stakeholders. • Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms.

Available to hire

AI specialist and PhD candidate in Computer Science with extensive experience as a Quantitative Analyst. Expert in leveraging machine learning, data analysis, and predictive modeling to solve complex problems and deliver cutting-edge solutions. Passionate about turning AI research into real-world impact.

Machine Learning Engineer |
KDB+ Developer

Yugo Strategic Advisors LLC New York, NY, USA 03/2022 - 05/2024
• Spearheaded the development of a high-efficiency data ingestion feed handler, optimizing the performance of tickerplant systems.
• My initiative to study new technologies, including Q/KDB+, not only enhanced system capabilities but also played a pivotal role in attracting
new customers and increasing the client base by 10%.
• Implemented a feed handler to enhance data ingestion efficiency, operated the tickerplant seamlessly in batching and non-batching modes,
and offered expert support for kdb+ systems, actively contributing to upgrades and testing.
• End-to-end deployment of 3 applications: building ML pipelines from scratch(with Python and various learning algorithms) and deploying on
the cloud
• Conducted technical interviews for 50+ software engineers, assessing skills and cultural fit, and provided mentorship to a group of 8 team
members, guiding them through the kdb+ learning process and supporting their professional development .

Data Scientist

Yugo Strategic Advisors LLC New York, NY, USA 03/2021 - 03/2022
• Developed predictive models, improving investment returns by 15%, and created financial dashboards, enhancing decision-making efficiency
by 20%.
• Utilized machine learning to identify financial market patterns, boosting prediction accuracy and competitive advantage.
• Achieved accurate and timely financial data processing, developed interactive dashboards with technical indicators, and excelled in data
storytelling, facilitating informed decision-making and providing actionable insights to stakeholders.
• Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised
learning algorithms.