Functional Skills
Business Analytics
Business Intelligence
Customer Analytics
Data Management
Data Science
Machine Learning
Marketing Analytics
Marketing Mix Planning
Predictive Modeling
Quality Assurance
Quantitative Research
Statistical Analysis
Economic Analysis
Economic Policy
Simulations
Software Skills
SAS
PowerBI
R
SQL
Machine Learning
Python
Stata
Data visualization
BigData
Gurobi
MATLAB
SPSS
Spark
Tableau
Sector Experience
Financial Services
Media & Entertainment
Real Estate
Retail
Social & Public Sector
Languages
English
Russian
Notable Clients
Microsoft
Top Consulting Firms
Experience
Oliver Wyman
Finance
Chief Data Scientist and Quantitative Researcher
2/2025 - Present
Analytics Project
Oliver Wyman, a top-tier consultingfirm, Marsh McLennan Group (Fortune 500) Feb 2025 – Present
● • Serve as chief data scientist and lead quantitative research for a nationally significant engagement with the Saudi Government, focused on fiscal oversight and compliance.
• Lead a team of 3 data engineers, providing technical direction while remaining hands on with model development, feature engineering, and delivery.
• Design and implement advanced econometric and machine learning models to guide strategic decision-making and operational planning.
• Manage deep analytical workstreams, including feature engineering, model calibration, scenario testing, and interpretation of results for senior stakeholders.
• Collaborate closely with non-technical consulting managers and government officials, ensuring in sights are both technically sound and actionable.
Oliver Wyman, a top-tier consultingfirm, Marsh McLennan Group (Fortune 500) Feb 2025 – Present
● • Serve as chief data scientist and lead quantitative research for a nationally significant engagement with the Saudi Government, focused on fiscal oversight and compliance.
• Lead a team of 3 data engineers, providing technical direction while remaining hands on with model development, feature engineering, and delivery.
• Design and implement advanced econometric and machine learning models to guide strategic decision-making and operational planning.
• Manage deep analytical workstreams, including feature engineering, model calibration, scenario testing, and interpretation of results for senior stakeholders.
• Collaborate closely with non-technical consulting managers and government officials, ensuring in sights are both technically sound and actionable.
Las Vegas Sands
Data Science / Analytics
Head Statistician – Statistical Algorithm Testing & Model QA
1/2025 - Present
• Las Vegas Sands is a global developer of world-class integrated resorts and a Fortune 500 leader in hospitality and gaming innovation.
• Led statistical algorithm testing and model QA for a long-term initiative focused on the integrity and compliance of digital gaming systems.
• Designed validation frameworks using statistical methods, machine learning, and simulation to assess fairness, robustness, and audit readiness.
• Delivered scalable QA protocols aligned with regulatory standards and operational deployment needs, forming the foundation for continuous model monitoring and integrity across subsidiaries.
• Introduced model governance practices and integrity monitoring for ongoing quality assurance and stakeholder confidence.
• Led statistical algorithm testing and model QA for a long-term initiative focused on the integrity and compliance of digital gaming systems.
• Designed validation frameworks using statistical methods, machine learning, and simulation to assess fairness, robustness, and audit readiness.
• Delivered scalable QA protocols aligned with regulatory standards and operational deployment needs, forming the foundation for continuous model monitoring and integrity across subsidiaries.
• Introduced model governance practices and integrity monitoring for ongoing quality assurance and stakeholder confidence.
URBANDIGS
Data Science / Analytics
Principal Advisor – Machine Learning & Quantitative Pricing Strategy
2/2020 - Present
• UrbanDigs is an industry leader in data insights and technology for professional real estate agents in the NYC residential markets.
• Lead the development of a large-scale hedonic price model for residential real estate across New York City.
• Design ML pipelines that integrate geospatial, structural, and historical market data to support dynamic pricing, portfolio valuation, and agent tooling.
• Lead the development of a large-scale hedonic price model for residential real estate across New York City.
• Design ML pipelines that integrate geospatial, structural, and historical market data to support dynamic pricing, portfolio valuation, and agent tooling.
Middlesex University Dubai and SP Jain Dubai
Data Science / Analytics
Adjunct Professor of Data Analytics/Computer Science
9/2024 - Present
• Taught courses:
• Project Planning and Research for Information Systems Professionals.
• Advanced Topics in Data Science and Artificial Intelligence.
• Data Structures and Algorithms
• Python Programming
• Project Planning and Research for Information Systems Professionals.
• Advanced Topics in Data Science and Artificial Intelligence.
• Data Structures and Algorithms
• Python Programming
CONVERGEDIRECT LLC
Data Science / Analytics
Chief Data Science Partner – Forecasting, Targeting & Geospatial Analytics
4/2021 - Present
• Converge Direct is a U.S.-based performance marketing firm specializing in data-driven customer acquisition for national campaigns.
• Functioned as embedded Head of Data Science for forecasting and targeting, leading a long-term engagement integrated into core analytics operations.
• Directed development of ZIP-level sales forecasts and causal attribution models to support strategic media planning and investment optimization.
• Built reusable ML-driven targeting pipelines and segmentation tools on shared cloud infrastructure, ensuring consistent and scalable usage across multiple product teams and campaign units.
• Collaborated closely with internal analytics, product, and strategy teams to ensure seamless inte gration of model outputs into business workflows.
• Functioned as embedded Head of Data Science for forecasting and targeting, leading a long-term engagement integrated into core analytics operations.
• Directed development of ZIP-level sales forecasts and causal attribution models to support strategic media planning and investment optimization.
• Built reusable ML-driven targeting pipelines and segmentation tools on shared cloud infrastructure, ensuring consistent and scalable usage across multiple product teams and campaign units.
• Collaborated closely with internal analytics, product, and strategy teams to ensure seamless inte gration of model outputs into business workflows.
Inc-Query GmbH
Engineering
Strategic Advisor – ML Signal Engineering & Response Quality Analytics
6/2021 - Present
• Inc-Query is a Berlin-based research technology company specializing in online survey optimization and advanced respondent analytics for global insights firms.
• Direct development of novel machine learning signals to detect low-quality or fraudulent survey responses using behavioral and paradata features.
• Applied large-scale feature engineering and ensemble modeling to improve data quality monitoring and enhance downstream analytics reliability.
• Direct development of novel machine learning signals to detect low-quality or fraudulent survey responses using behavioral and paradata features.
• Applied large-scale feature engineering and ensemble modeling to improve data quality monitoring and enhance downstream analytics reliability.
SmartDataProducts.com
Data Science / Analytics
Founder & Head of Data Science
9/2010 - Present
• Founded and lead an independent data science consultancy delivering high-impact analytics to global clients across finance, real estate, tech, and gaming.
• Serve as Principal Advisor on machine learning and quantitative modeling for organizations across North America, Europe, Australia, and the GCC.
• Directed 800+ applied AI projects, including predictive modeling, optimization, anomaly detection, and strategic analytics for decision intelligence.
• Built and scaled cross-functional teams of data scientists, analysts, and engineers to deliver enterprise grade solutions across sectors such as energy, retail, and FMCG.
• Provide executive consulting on analytics transformation, helping organizations embed ML capa bilities, design scalable workflows, and drive data-driven culture.
• Designed and delivered end-to-end pipelines—from ingestion to production-ready models and dash boards—enhancing ROI, retention, and operational efficiency.
• Developed advanced AI and statistical mod
• Serve as Principal Advisor on machine learning and quantitative modeling for organizations across North America, Europe, Australia, and the GCC.
• Directed 800+ applied AI projects, including predictive modeling, optimization, anomaly detection, and strategic analytics for decision intelligence.
• Built and scaled cross-functional teams of data scientists, analysts, and engineers to deliver enterprise grade solutions across sectors such as energy, retail, and FMCG.
• Provide executive consulting on analytics transformation, helping organizations embed ML capa bilities, design scalable workflows, and drive data-driven culture.
• Designed and delivered end-to-end pipelines—from ingestion to production-ready models and dash boards—enhancing ROI, retention, and operational efficiency.
• Developed advanced AI and statistical mod
Canadian University
Research
Associate Professor of Business Analytics
8/2024 - 2/2025
• Designed and launched the MSc in Business Analytics program, aligning curriculum with industry needs and incorporating cutting-edge AI, machine learning, and data visualization techniques.
• Developed and taught business intelligence courses, covering SQL-based reporting, data warehous ing, and dashboard development for executive decision-making.
• Mentored graduate students in data-driven strategy development, preparing them for leadership roles in analytics, BI, and data science.
• Developed and taught business intelligence courses, covering SQL-based reporting, data warehous ing, and dashboard development for executive decision-making.
• Mentored graduate students in data-driven strategy development, preparing them for leadership roles in analytics, BI, and data science.
Higher School of Economics
Research
Associate Professor of Business Data Analytics and Econometrics and Senior Research Fellow
9/2010 - 8/2024
• Supervised 50+ applied consulting and economic/business research projects for large retailers, banks, and IT companies, including small area estimation, profit-driven pricing optimization, and customer retention analysis.
• Developed and led the Customer Analytics Track in the Master program Data Analyticsfor Busi ness and Economics.
• Taught advanced courses on Statistical Analysis, Analytical CRM, Data Science for Marketing Analytics, and Econometrics at undergraduate, graduate, and PhD levels.
• Taught Customer Data Analytics at executive education programs
• Received multiple Best Teacher awards, most recently in
● • Published over 20 peer-reviewed papers in international journals, focusing on marketing analytics and predictive modeling.
• Developed and led the Customer Analytics Track in the Master program Data Analyticsfor Busi ness and Economics.
• Taught advanced courses on Statistical Analysis, Analytical CRM, Data Science for Marketing Analytics, and Econometrics at undergraduate, graduate, and PhD levels.
• Taught Customer Data Analytics at executive education programs
• Received multiple Best Teacher awards, most recently in
● • Published over 20 peer-reviewed papers in international journals, focusing on marketing analytics and predictive modeling.
Comcon Research International
Research
Lead Data Analyst
1/2007 - 1/2010
• Conducted multivariate analysis for multinational brands, including Coca-Cola and Heinz.
• Delivered actionable insights on consumer spending, improving marketing strategies.
• Designed and implemented advanced analytics frameworks, integrating machine learning and BI tools to optimize marketing spend and consumer targeting strategies for multinational brands.
• Developed key performance indicator (KPI) dashboards and automated reporting systems to en hance executive decision-making, reducing analysis turnaround time by 40%.
● Professional Experience (Educational and Research Institutions)
• Delivered actionable insights on consumer spending, improving marketing strategies.
• Designed and implemented advanced analytics frameworks, integrating machine learning and BI tools to optimize marketing spend and consumer targeting strategies for multinational brands.
• Developed key performance indicator (KPI) dashboards and automated reporting systems to en hance executive decision-making, reducing analysis turnaround time by 40%.
● Professional Experience (Educational and Research Institutions)