Dmitry Pesegov

Contributing to the development of core AI/ML systems to enhance user-centered digital experience. • Created a 10-day price forecasting system using gradient boosting models • Developed multilingual product review classification using BERT, achieving 0.92 F-score and improving review categorization efficiency by 40% • Designed binary regression model with automated NN architecture search • Built an AI agent for autonomous interaction with clients (onboarding, sales, appointment scheduling)

• Created NLP models to process 6000+ financial instruments, covering 90% of NYSE, NASDAQ, IPOs • Developed key functions: user and financial instrument matching rate (interest, risk, topic), portfolio recommendation system, achieving 30% DAU/MAU • Automated daily portfolio generation and optimization for each user, achieving 85% user satisfaction • Implemented automated data pipelines and designed self-service dashboards, cutting manual reporting time by 90%, improving data accessibility for stakeholders

• Leveraged business analysis and data science, optimizing product and customer-side integration, elevating customer trust by 30% • Developed time series forecasting models with 95% accuracy for optimal shifts planning, reducing customers’ labor costs by 10% • Created 100+ customized KPI dashboards, addressing 99% of stakeholders’ requests • Established a data science practice, leading to key findings in WFM, resulting in 20% revenue increase (OBI, Leroy Merlin, Auchan, Globus, Prisma, SPAR, Puma, KFC)

Focused on financial time series forecasting and algorithmic trading systems, using Stanford and ArXiv. Researched and developed custom Neural network architecture for infinite autoregressive forecasting of financial time series, made a publication. Designed 6 autonomous quantitative trading systems with a 65% win rate.

Led a team of 7 in delivering data-driven SAP HCM projects. • Delivered 8 data-driven SAP HCM projects in banks, leveraging analytics and risk forecasting to drive strategic decision-making, minimize risks and to optimize project outcomes. • Established a new SAP HCM support unit, securing 5 long-term contracts, generating revenue. • Gained cross-functional expertise in project management, presales, leadership, communication and diplomacy.

Implemented successful full life cycle project in a large steel production company

• Developed the Analytical subsystem for SAP MM/SD using SAP BI/BW, forecasting demands and KPIs, increasing resource allocation efficiency by 30% and reducing planning costs by 15%. • Automated reporting processes, reducing manual reporting time from 2 hours to 5 minutes (24x faster).