I am responsible for outlining projects and managing both internal and client teams combining the roles of both a Project Leader and a Lead Data Scientist:- As a Project Leader, I lead cases, manage teams and relationships, mitigate risks, coach the team, and ensure a productive environment.- As a Lead Data Scientist, I frame problems, propose solutions, and challenge results.Selected Case Experience:[Energy | Renewables]Predictive Maintenance for Wind Turbines with Generative AI (Transformers and Large Language Models)> Led a research of adaptation of Gen.AI for Predictive Maintenance[Financial Institutions]AI investment strategy for a large Hedge Fund> Expert support for the case teamRetail boost strategy for a large universal Eastern European bank> Led transformation of analytics function and complete redesigning a wide set of retail analytics models like pricing, propensity to buy, next best offering.> Managed client's team of data scientists and data engineers> Conducted a series of pilots to estimate transformation performance> Prepared models in a short time and passed internal model validation[Generative AI, Large Language Models, Foundation Models]Designed a series of Gen.AI use-cases for various industries like Financial Institutions, Energy, Operations,BiopharmaDeveloped a framework and a set of tools to conduct an experiment that estimates the impact of Generative AI on Data Scientist performancePublic Presentations- "Rethinking the work of the situation centre using digital technologies in logistics", BCG Unlocking Digital Reality, Oct 2021, Moscow

I was responsible for the modelling methodology, as well as the development and implementation of AA & ML solutions worldwide.Additionally, I managed client communication, expectations, and key stakeholder relationship.Selected Case Experience:[Energy | Oil&Gas](Downstream): Predictive Maintenance solution for a South European refinery> Developed a Health Index indicator for a one of the key refinery rotating equipment> Conducted a Digital Maturity assessment> Developed a roadmap and implementation recommendations[Metals & Mining]Process Optimisation for coal extraction for an Eastern European metals and mining company> Conducted Digital Maturity assessment and revealed gaps> Provided strategic and operational support to improve the process performance> Developed a model to estimate quality of processed coal and find optimal control process parameters> Developed a real-time web-based solution to monitor and summarise process performance by shifts in real-time> Led a team of data scientists and developers[Transportation]Scaling up of the dynamic pricing solution for an international container shipping company> Improved and expanded previously developed MVP solution to cover the entire operations> Added price optimization to the output of the machine learning engineImproving client's logistics and supply management system to implement a capital investment program> Identified material flows and streamlined bottleneck for diverse transportation network and storage> Developed a model and optimiser to estimate railway bottlenecks> Conduct scenario analysis to find the optimal railway capacity> Preparation of roadmap and implementation recommendationsPublic Presentations:- "Digital Twins for Downstream", Unlocking Digital Reality with BCG 2.0, Nov 2019, Moscow- "Dynamic Pricing for Shipping in Digital Era", BCG Digital Day, Oct 2020, MoscowPublic Events:- MIPT Oil&Gas Hackathon, a member of evaluation team, Sep 2019, Moscow

I was responsible for the development and implementation of analytical solutions for various industries worldwide. These solutions included:- Machine learning models- Web-based digital toolsSelected Case Experience:[Energy | Oil&Gas](Upstream): Predictive Maintenance solution for a European Oil&Gas company for its offshore asset> Developed a analytical solution to estimate a Health Index of equipment units and propagate it to the offshore platform level> Developed a web-based digital solution to monitor Heath Status and Production Performance in real-time> Installed the tool on the Client's server in a state of a Minimum Viable Product (MVP)(Downstream): Development of Digital Twin for Bitumen production for a large Refinery in Middle East> Developed the first Advanced Analytics pilot to prove bottom line benefits generated by Digital[Metals & Mining]Optimisation of the flotation process with advanced analytics and machine learning for a large European M&M company> Developed a model to find optimal control parameters for the floatation process> Run on-site tests of the model> Developed an implementation and scale-up plan [Transportation]Pricing Strategy for an International Container Shipping company (Minimum Viable Product)> Analysed existing pricing strategy and gaps to best practice> Identified key improvement opportunities> Developed a modelling & dynamic pricing machine learning (ML) engine, including modelling variables to identify leading indicators and testing engine for accuracy> Developed a web-based Dynamic Pricing software tool/solution for the clientPublic presentations:- "Digital Solution to Control an Offshore Oil&Gas Platform", AI Day, Astana, Mar 2019- "Machine Learning for Continuous production: theory and practice", Big Data 2019, Moscow, Mar 2019- "Advanced Analytics for Large Industrial Companies", St Petersburg University, SPb, Mar 2019

I was in charge of development and implementation of analytics and machine learning algorithms for various industries. Selected Case Experience:[Energy] Simulation and scenario analysis of a Gas Market > Developed a bottom-up simulation model covering: -- Supply/Demand side of the gas market (volumes and costs) -- Gas transportation system (volumes and costs) -- Integral gas market domains (volumes, revenues and regulatory effects)[Metals & Mining] Use-case Ideation and diagnostics for a large metals and mining company > Analysed 1Tb+ of transportation data > Identified gaps in operations > Supported the development of cost cutting and production growth strategy[FI] Client segmentation of affluent and mass affluent retail clients for a large Russian universal bank > Developed a segmentation model to define sub-segments for targeted sales and marketing actionsSales strategy for the retail banking business of a Universal bank: > Validated and improved the pricing model and its components incl. FTP, Opex, Cost of CapitalPublic Presentations: Conducted a series of workshops in SkolTech on Advanced Analytics in Oil&Gas

Advisory - Strategy&Operations - Financial Services - Risk Management practice- Affluent segmentation model for one of Top-5 Russian banks using machine learning toolbox- ICAAP Assessment Tool development and implementing (programming and methodology development for bank’s capital estimation) for a Russian captive automobile bank- Stress test models development- Headcount optimisation and functional benchmarking for one of Top-5 Russian banks - Retail strategy development for one of Top-10 Russian banks- ICAAP Implementing in a number of captive Russian banks

Advisory - Financial Services Risk Management- Revenue forecast model development for consulting firm division - IRB validation of rating system for one of Top-5 Russian bank: --- Validation of retail LGD model, --- IT-architecture analysis in compliance with Basel II, --- Data Quality analysis ---- Took part in creating of Data Quality requirements for CBR's IRB regulatory paper- MVP Tool Development for real economy companies risk management- Value at Risk models validation- Derivatives valuationConducted a training on Risk Management for IT-subsidiary of a large internatioanl investment bank

Management Consulting - Corporate Treasury - Corporate Risk Management- Development and testing of Cash Flow at Risk IT system (programming and methodology development for Monte Carlo modelling of large Oil&Gas company cash flow, earnings at risk, stochastic models development) - Development and testing commodity prices forecasting models (Monte Carlo models, econometric models)- Corporate treasury business processes reengineering for the largest Russian Oil & Gas company: business processes modelling, SAP R/3 ERP-system implementation project (SAP Bank Communication Management, SAP In-House Cash)