Yevgen Boyko, Cfa, Flmi Email & Phone Number

Mississauga, ON, CA

Toronto, Ontario, Canada

• Reporting to the Head of Analytics, lead a high-performing Data Science and Deposits Pricing team of 4 data scientists, aligning strategic leadership vision with practical AI/ML solutions.
• Drive client journey modeling from acquisition to retention, leveraging propensity targeting, behavioral segmentation, and pricing optimization techniques to support client solutions team.
• Spearhead development and continuous refinement of Deposits Retention Pricing Optimization tool, managing $4 billion in balances through ML-driven segmented pricing, resulting in $10 million revenue impact.
• Architect and implement client-centric frameworks to enhance Primacy, via Segmentation, Customer Lifetime Value (CLV), Customer Value Index (CVI), Affluence Index, and Engagement Index.
• Pioneer development of Google Analytics 4 feature store, doubling existing feature space and shifting ML solution reliance towards digital and click-stream data.
• Oversee end-to-end model lifecycle management using GCP Vertex MLOps, streamlining processes from construction, data engineering and ML development to production and monitoring.

Toronto, Ontario, Canada

• Developed and deployed key propensity machine learning models for marketing campaigns: cross-sell, acquisition and retention (Python/XGBoost).
• Evaluated client and account behavior to identify segments, trends and opportunities by leveraging machine learning principles and statistical analysis; this has helped to shape the company’s go-to-market strategy.
• Pioneered and integrated cloud computing (GCP Vertex AI) infrastructure to deploy and monitor AI/ML solutions within the MLOps framework of CI/CD.
• Led TechTalk sessions (Graph/Network Theory), coached fellow data scientists and analytic teams on GCP/ML/AI adoption, process automation and industry best practices.

Canada

Toronto, Canada Area

Toronto, Canada Area

• Designed marketing campaigns and influenced tactical strategies by identifying key segments, generating target lists and optimizing pricing, within volume/margin dependencies.
• Performed big data research and deep-dives by cleaning, analyzing, transforming, and visualizing data to develop actionable insights that drove incremental business growth (Pandas/Seaborn/Pyplot).
• Developed and automated 20+ product reports to communicate performance and future outlook to management, saving three weeks of full-time employee work annually (PowerBI).
• Developed and maintained key business models for product forecasting and new product launches (Scenario and Sensitivity Analysis).
• Driven sales ($3MM) of the outbound call center team by optimizing cross-sell opportunities (Python/ML).
• Collaborated with key stakeholders (Data Science, Business Intelligence, Product, Marketing and Finance).

Toronto, Canada Area

• Mitigated operational risk for a select group of clients with a total of $14 billion value at risk, $200 million in revenues annually and 1 million policies to ensure information is reported in an accurate and timely.
• Performed in-depth analysis to identify issues and unusual trends with financial impact to the company.
• Personalized client audit tool to test financial reporting on one of the largest clients, saving two weeks of full-time employee work annually (Excel, VBA).
• Completed multiple major Profit-Sharing projects spanning 15 years of data, $100 million in premiums and $12 million payable (Financial Modeling).
• Developed and tested reports’ logic during migration onto SAP platform (SQL).

Toronto, Canada Area

• Achieved 100% accuracy in the tax slip documents production (T3, T4, T5, etc.)
• Generated ad-hoc account statements and reports from the internal databases (Unitrax)
• Transformed and integrated data from various sources into a single dynamic data point, saving 1 week of full-time employment annually (Excel, VBA)
• Reconciled end of period data for mutual- and hedge funds for the tax reporting purposes

Toronto, ON

• Analyzed and audited employment and business related tax cases resulting in a recovery of $30,000
• Performed data mining and trend analysis in the internal databases (VLOOKUP, Pivot Tables)
• Prepared and sent legal letters to the taxpayers and their legal representatives

Micromasters, Statistics And Data Science

• Coursework: Statistics, Probability, Machine Learning, Data Analysis and proctored capstone exams. • 4 graduate-level courses taught by.

Honours Bachelor Of Commerce (B.Com.) Degree, Accounting And Finance, Gpa 3.8/4.0

Research Paper: The Impeding Effects of Lending Rate, Financial Leverage and Paper Currency on the Sustainability and Stability of.

Microsoft Professional Program For Data Science (18 Courses With 400+ Hours), Data Science

Solution driven program that establishes a framework for big data: exploration, visualization, statistical analysis, machine learning.