Alexey Lagerberg
Seattle,WA
Summary
Senior Data Scientist with a track record of success at Pinegrove Venture Partners, specializing in AI integration, and quantitative analysis. Led top-priority initiatives that reduced insight delivery time by 80% and strengthened internal and external stakeholder engagement through data-driven decision-making. Skilled in Python, analytics, and team leadership, delivering impactful results across high-stakes projects.
Overview
10
10
years of professional experience
Work History
Senior Data Scientist
Pinegrove Venture Partners
Seattle, Washington
08.2024 - Current
- Led AI integration initiatives across three agent-based workflows: (1) automated investment proposal generation, (2) portfolio querying agent to deliver LP insights, and (3) market update agents producing weekly product summaries, quarterly LP updates, and daily meeting briefs.
- Directed a data-driven diligence process for secondary investments, cutting the time to first insights from 2 weeks to 2 days, and completing full data science diligence in 2 weeks by combining AI, advanced analytics, and human-in-the-loop review, enabling the fastest bids in the industry.
- Conducted quantitative market analysis, including the first-of-its-kind private credit loss study, published to LPs, presented to the board of directors, and highlighted in a public webinar.
Senior Data Scientist
SVB Capital
Seattle, Washington
01.2021 - 08.2024
- Managed an offshore team in India to build dashboards, automate data scraping, and scale core data processes.
- Led quantitative analysis for the biotech investment process, developing models to guide investment decisions.
- Directed the AI working committee, evaluating and adopting tools that enhance data sharing and firm-wide workflows.
- Designed and maintained a sourcing process that integrates internal and external datasets, improving the identification of high-growth companies by 40%.
Data Scientist
WestRiver Group
Seattle, WA
06.2020 - 01.2021
- Developed a scenario-based liquidity tool in R and R Shiny to forecast cash positions, investor returns, and risk metrics. The output generates a summary PDF to be used both in planning funds internally and as an LP-facing report.
- Created a fund capacity model that maximized forecasted loan originations while optimizing leverage usage. Doubling the loans being shown by partnering banks.
- Introduced processes and scripts to our pipeline, cutting manual data cleaning by 50%.
Sr. Analyst, Revenue Data Science
Holland America Line
Seattle, WA
12.2017 - 06.2020
- Partnered with cross-functional teams to identify gaps between manual and automated pricing, designing metrics that drove a 3% annual yield increase.
- Rebuilt the cancellation forecast model with XGBoost, automating outlier detection and ship class mapping to improve dynamic pricing accuracy.
- Defined business rules and post-processing logic that increased internal adoption of pricing tools by 40%.
- Built an R Shiny dashboard for stakeholders to visualize booking curves and pricing trends, enabling strategic pricing decisions.
- Applied statistical methods (WMAPE, back-casts, simulations) to monitor and optimize system performance.
Revenue Optimization Intern
MGM Resorts International
Las Vegas, NV
06.2017 - 08.2017
- Processed competitive pricing data from daily web scraping, and applied PCA in R to cluster prices, building elasticity and cross-price elasticity models.
- I presented the results to the CFO and SVP of Revenue Management, leading to the adoption of the model in production after the internship.
Quality Assurance and Transportation System Safety Intern
Washington State Department of Transportation
Olympia, WA
05.2016 - 09.2016
- Performed analytics and created risk models that normalized risk across the business.
- Enterprise risk project reports were published at the executive level, including governor and legislative bodies.
Education
Master of Science - Applied Mathematics – Computational Finance and Risk Management
University of Washington
Seattle, WA12.2017
Bachelor of Arts & Bachelor of Science - Mathematics and Math Education
The Evergreen State College
Olympia, WA12.2015
Skills
- AI integration
- SQL, R, Python
- Private markets
- Statistical modeling and data mining
- Diligence
- Cross-functional collaboration
- Team leadership
- Coaching
Accomplishments
- Contributor State of Enterprise Software 2025
- Presented our diligence at NeuData Conference for PE/VC 2025
- Assistant College Basketball Coach
- Contributor to Franz Edelman Finalist 2020
- Perfect score (170) quantitative GRE
- Collegiate Basketball and Team Captain 2010 to 2013
- Student Athlete Award 2013
- Most Inspirational Player 2012
- Outstanding Freshman Player 2011
Timeline
Senior Data Scientist
Pinegrove Venture Partners
08.2024 - Current
Senior Data Scientist
SVB Capital
01.2021 - 08.2024
Data Scientist
WestRiver Group
06.2020 - 01.2021
Sr. Analyst, Revenue Data Science
Holland America Line
12.2017 - 06.2020
Revenue Optimization Intern
MGM Resorts International
06.2017 - 08.2017
Quality Assurance and Transportation System Safety Intern
Washington State Department of Transportation
05.2016 - 09.2016
Master of Science - Applied Mathematics – Computational Finance and Risk Management
University of Washington
Bachelor of Arts & Bachelor of Science - Mathematics and Math Education
The Evergreen State College