About
Highly accomplished Founder, CEO, and Lead Data Scientist with a Ph.D. and over two decades of experience in developing and deploying advanced quantitative and machine learning models across Finance, Materials Science, and Sustainability. Expert in leveraging Python, deep learning, and cloud platforms to drive innovation, optimize systems, and deliver measurable business impact. Proven leader in strategic product development from MVP to commercialization, consistently achieving significant results in complex data environments.
Work
St. John's University
|Adjunct Associate Professor
Queens, NY, US
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Summary
Instructed graduate and undergraduate courses in Biostatistics, Financial Applications, and Statistical Analysis, while conducting research in deep learning models for financial markets.
Highlights
Taught advanced courses in Biostatistics, Applied Statistics, and Calculus for Biological/Business Applications, impacting hundreds of students.
Conducted research in financial applications, developing Deep Learning models for equity, options, bonds, and commodity derivatives pricing and risk modeling.
Reviewed and published research on comparative modeling of price volatility in Nigerian Crude Oil Markets using GARCH models for SAJSS Economics and ARJoMath.
Utilized Python 3, VBA/Excel, and ANOVA for experimental design methodology and statistical analysis in academic research.
Vaposun Inc.
|Founder & CEO/Project Manager/Data Scientist/Research Analyst/Consulting
Brooklyn, NY, US
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Summary
Led Vaposun Inc. as Founder & CEO, driving the creation and commercialization of original quantitative models and innovative systems for diverse clients across finance, energy, and technology sectors.
Highlights
Developed and validated original quantitative and machine learning models, including Agentic AI and deep learning networks with Adam optimizer, for financial asset pricing and transaction optimization (2 patents).
Spearheaded agile product development from MVP to commercialization, utilizing Python (Pandas, TensorFlow, Scikit-learn, PyTorch), SQL, Azure, and AWS Sagemaker for system optimization projects.
Designed and implemented RDBMS for conceptual models and leveraged Hadoop, Databricks, Neo4j, and MongoDB for large-scale data management and analysis.
Optimized smart home solar management systems with cooling regime optimization and improved direct methanol fuel cell efficiency, leading to patent proposals for both.
Conducted advanced analytics using MS Power BI, text analytics, and visualization to inform energy market solutions and P2P networking transaction optimization.
TCS
|Lead Data Science
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Summary
Led advanced data science initiatives for retail, logistics, and airline clients, leveraging GCP VertexAI, BigQuery, and MLOps for agile product development and impactful solutions.
Highlights
Developed and deployed robust recommender systems using Item Embedding, truncated SVD/sklearn, LSTM, and Neural Collaborative Filtering, enhancing customer experience for clients like BestBuy and Ingram Micro.
Implemented NLP solutions with gensim, Transformers, LLM, BERT, and Hugging Face for universal catalog collation and advanced text analysis.
Designed and executed time series forecasting models (ARIMA, XGBoost, LightGBM, NBEATS) for retail demand prediction, optimizing inventory and supply chain operations.
Managed A/B testing, human evaluation, and automated benchmarks for data science solutions, ensuring rigorous validation and performance optimization.
Utilized PyTorch, PySpark, Snowflake, and Databricks for large-scale data processing and machine learning model development.
St. John's University / New York Institute of Technology
|Adjunct Associate Professor
NYC, NY, US
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Summary
Taught physics and quantitative analysis courses while conducting research in financial applications and spin-transfer nanodevices.
Highlights
Conducted research on financial applications, specifically stochastic differential equations and catastrophe modeling, contributing to advanced theoretical frameworks.
Investigated spin transfer nanodevices, focusing on differential equations and spatio-temporal resonance structures.
Authored publications and reviewed for "Intern Journal Heat Mass Transfer" and "Journal of Eng Mathematics," maintaining academic rigor.
Utilized VBA/Excel and COMSOL Multiphysics for complex simulations and data analysis in research projects.
The City College/CUNY
|Adjunct Associate Professor
NYC, NY, US
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Summary
Taught mechanical engineering courses and conducted research on thermal fields with moving sources and phase boundaries.
Highlights
Instructed students in mechanical engineering subjects, including Advanced Strength of Materials and Experiment Design.
Conducted research on thermal fields with moving sources and phase boundaries, applying C++ and MatLab for temperature and stress analysis.
Developed and maintained course materials for various engineering subjects, ensuring high educational standards.
Contributed to the academic community through research and teaching, fostering student development in engineering principles.
Veeco Instruments Inc.
|Process Development Engineer
Plainview, NY, US
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Summary
Drove nanotechnology process development for data storage nanodevices, focusing on experimental research, statistical modeling, and high-vacuum equipment.
Highlights
Developed and optimized nanotechnology processes for data storage nanodevices through experimental research and statistical modeling.
Managed high-vacuum equipment control and maintenance, ensuring precision for thin film hetero-structure fabrication.
Optimized thin film deposition and characterization, improving material properties and device performance.
Applied statistical methods and multiple regression analysis to plume distribution modeling, enhancing process understanding and control.
Education
Ben-Gurion University of the Negev (BGU)
Postdoctoral Research
Materials Engineering
Donetsk National Technical University (DNTU)
Ph.D.
Physical Metallurgy
Donetsk National Technical University (DNTU)
B.S./M.S.
Mechanical Engineering
Grade: 3.97 (with Honors)
Awards
Honors Graduate
Awarded By
Donetsk National Technical University (DNTU)
Graduated with a GPA of 3.97, earning honors for outstanding academic achievement in Mechanical Engineering.
Publications
Instantaneous and Averaged Volatility in Two-Side Filtration Model of Financial Asset Pricing
Published by
Journal of Derivatives
Quasi-steady-state modeling of dendritic growth
Published by
Physics Letters A
Method and system for network communication
Published by
US Patent
Summary
Patented a method and system designed for enhanced network communication.
Forward Backward Stochastic Model of Financial Asset Pricing with Idiosyncratic Noise
Published by
SSRN Electronic Journal
Method and apparatus for magnetic resonance imaging
Published by
US Patent
Summary
Patented an innovative method and apparatus for magnetic resonance imaging.
Solar radiation collection system and method
Published by
US Patent
Summary
Patented a novel system and method for efficient solar radiation collection.
A general solution of 3-D quasi-steady-state problem of a moving heat source on a semi-infinite solid
Published by
Mechanics Research Communications
Mirror-time diffusion discount model of options pricing
Published by
ArXiv
Periodic structure of spin-transfer current in ferromagnetic multilayers
Published by
Physics Letters A
Laser produced functionally graded tungsten carbide coatings on M2 high-speed tool steel
Published by
Materials Science and Engineering: A
Summary
Summary journal-article
Modelling of laser treatment based on an analytical solution for the steady state temperature distribution in a moving system
Published by
Lasers in Engineering Summary
Analytical model for continuous caster profile optimization
Published by
Ironmaking and Steelmaking
Summary
Developed an analytical model to optimize continuous caster profiles for improved industrial processes.
Mathematical modelling of laser alloying for graded surface layer fabrication
Published by
Published by Lasers in Engineering
Languages
English
Fluent
Russian
Native
Hebrew
Fluent
Ukrainian
Fluent
Certificates
Python for Data Science, Machine Learning Scientist Program
Issued By
DataCamp
Innovation Certification Program
Issued By
Xinova
Skills
Machine Learning & Deep Learning
Deep Learning, Neural Networks, Reinforcement Learning, XGBoost, LightGBM, NBEATS, ARIMA, GARCH Models, LSTM, SVD, Statistical Modeling, Predictive Modeling, Bayesian Estimation, Causal Inference, Hyper-parameter Tuning, Model Validation, MLOps, Agile Product Development, Recommender Systems, NLP (gensim, Transformers, LLM, BERT, Hugging Face), Time Series Forecasting, Experimental Design, AB Testing.
Programming Languages
Python, Pandas, TensorFlow, Scikit-learn, Matplotlib, PyTorch, PySpark, SQL, C#, VBA/Excel, C++, MatLab, AutoCAD.
Cloud & Data Platforms
Azure, AWS Sagemaker, GCP VertexAI, BigQuery, Hadoop, Databricks, Snowflake, Neo4j, MongoDB, RDBMS, SQL Server.
Tools & Methodologies
Jira, GitHub, MS Power BI, ANSYS, COMSOL Multiphysics, Statistical Analysis, Multivariate Data Analysis, Data Modeling, Data Architecture, Data Analysis, System Optimization, Agile Product Development.
Domains
Financial Asset Pricing, Risk Modeling, Materials Science, Sustainability Systems, Nanotechnology, Energy Markets, Retail, Logistics, Supply Chain, Airline Analytics, Infectious Disease Modeling.
Interests
Quantitative Analysis
Society of Quantitative Analysis.
Projects
Thermal Energy Storage Technology for Buildings
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Summary
Applied statistical modeling to optimize thermal energy storage technology for buildings, contributing to sustainable energy solutions.