Sergey Orlov

Background

About Sergey Orlov

I’m a Data Scientist & Machine Learning Engineer with a Ph.D. in Physics and Mathematics and 8+ years of experience delivering data-driven solutions across finance, technology, and engineering domains. With 15 years in High-Performance Computing and a decade leading cross-functional tech teams, I bridge the gap between research, engineering, and business — turning complex data into real business value. I specialize in building and deploying scalable machine learning models, designing efficient data architectures, and leading end-to-end analytics initiatives that drive measurable impact — from data ingestion and modelling to actionable insights and automation. Core strengths: • Machine Learning, Predictive Modelling, and LLMs • Data Engineering (ETL, Spark, Dask, SQL/NoSQL, Data Pipelines) • Statistical Analysis, Feature Engineering, and Experimentation • Cloud & Infrastructure: Azure, AWS, GCP, Docker, Git • Visualization & Communication: Power BI, Tableau, Plotly, Streamlit • Leadership in Data Teams, Project Management, and Technical Strategy Passionate about using data to make smarter business decisions and empowering teams to deliver measurable outcomes — not just models. Always open to discussing opportunities where data science meets business growth.