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Boris R.
Senior Research Scientist / Engineer at Twitch (Amazon)
Professional Background
Boris R. is a highly accomplished research scientist and machine learning engineer with a diverse and rich background that encompasses deep expertise in statistics, deep learning, and reinforcement learning. Currently serving as a Senior Research Scientist at Twitch, Boris leverages his extensive knowledge in machine learning algorithms and data science to drive innovation and enhance user experiences in a dynamic environment. With his profound understanding of the tech stack, which includes Python, C++, TensorFlow, PyTorch, Spark, Hadoop, MapReduce, AWS, Airflow, SQL, and parallel and distributed computing, Boris is a key player in developing cutting-edge solutions that meet the challenges of modern technology and data management.
Prior to his current role at Twitch, Boris made significant contributions during his time at Uber as a Data Scientist II and Machine Learning Engineer, where he utilized his analytical skills to design and implement robust models that improved operational efficiency and advanced predictive analytics. His journey also includes valuable experience working as a Financial Economist Associate at Cornerstone Research, where he applied quantitative methods to solve complex financial issues. Earlier in his career, he held prestigious roles, including a Research Fellow and Consultant for the Endowment Fund at London Business School, and an Investment Banking Analyst at Sberbank CIB. In addition, Boris showcased his leadership capabilities at the European Corporate Finance Summit organized by McKinsey & Company, participating in high-level discussions on the future of corporate finance.
Education and Achievements
Boris’s academic journey is distinguished and reflects his unwavering commitment to excellence in finance and mathematical sciences. He earned his Doctor of Philosophy (PhD) in Computational Finance from the esteemed London Business School, where his research contributed significantly to the field and positioned him as an expert in the application of computational methods in finance. Boris also holds a Certificate in Machine Learning from the prestigious Stanford University, further honing his skills and keeping him at the forefront of advancements in artificial intelligence and machine learning technologies.
In pursuit of broader knowledge in economics, Boris participated in a Summer Workshop on Computational Economics at The University of Chicago's Booth School of Business. This experience allowed him to deepen his understanding of economic modeling and data analysis methods. He also earned a Master of Science in Finance at London Business School, which fortified his financial acumen alongside a track record of excellence as he graduated with a Master of Science in Management in Technology (Economics) with highest honors, summa cum laude, from Lomonosov Moscow State University (MSU). His academic accolades trace back to achieving a Bachelor of Science in Physics, also summa cum laude, from the same prestigious institution, highlighting his foundational expertise in quantitative analysis and critical thinking.
Technical Proficiencies
Boris possesses a robust technical skill set that positions him as an authority in data science and machine learning. His proficiency in programming languages such as Python and C++ equips him to work effectively within various frameworks and libraries, including TensorFlow and PyTorch, enabling the development of sophisticated machine learning models. Additionally, Boris is well-versed in big data technologies, having experience with Spark, Hadoop, and MapReduce, which allows him to process vast amounts of data efficiently. His expertise extends to cloud technologies, prominently including Amazon Web Services (AWS), facilitating scalable computing capabilities essential for modern data-intensive applications.
Moreover, Boris’s familiarity with SQL further empowers him to manage and manipulate databases, ensuring optimal data integrity and access. His understanding of parallel and distributed computing strategies enhances his ability to handle complex computational problems, making significant contributions to projects involving large data sets. With proficiency in version control systems such as Git, Boris maintains high standards of code quality and collaboration, ensuring that his contributions are both efficient and impactful.
Notable Achievements
Boris's illustrious career brims with notable achievements that underscore his expertise and dedication. He has been instrumental in advancing machine learning initiatives and implementing innovative statistical approaches that drive result-oriented decision-making across various sectors. His work has not only enhanced the operational capacities of leading organizations like Twitch and Uber but has also contributed positively to the financial consulting domain at Cornerstone Research.
In academia, Boris’s research and publications stand as a testament to his intellectual contributions to computational finance, and his participation in numerous workshops and seminars reflects his commitment to continuous learning and knowledge sharing within the scientific community. His ability to connect theoretical knowledge to practical applications has made him a sought-after professional in both the tech and finance industries.
Conclusion
In summary, Boris R. epitomizes the convergence of technology and finance, showcasing a robust academic foundation paired with extensive professional experience. With a career defined by excellence in machine learning and statistical analytics, Boris remains a pivotal force in driving innovation within his fields of expertise. His commitment to continuous improvement and keen analytical abilities make him an asset to any organization seeking to harness the power of data in achieving transformative outcomes.