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Ivan Rubnenkov

@ivan-rubnenkov

Senior Data Analyst | Business Analytics & Applied ML

I have spent a lot of time building forecasting systems, from sports simulations to planning across dozens of markets. I still enjoy the puzzle of making a model useful in a real workflow, especially when the details matter.

Open to

Project collaborationStartup collaborationCompany partnershipsSpeaking & workshopsMentoring others

Career

Experience: 7 years

Experience

Senior Data Analyst, Forecasting Platform Owner

inDrive

A global mobility platform known for ride-hailing, where riders and drivers can agree on a fare, with services available across multiple regions.

Sep 2024 — Oct 2026

Owned a forecasting platform across about 50 markets, adding self-service scenarios and production controls while helping cut quarterly reforecasting time by 33%.

• Owned the forecasting platform across approximately 50 markets and four verticals, used by Finance, Business Development, C-level leadership, Analytics, and regional and country managers across LATAM, EMEA, APAC and SEA. • Helped reduce the quarterly reforecast cycle from three weeks to two, a 33% reduction. • Integrated the platform with corporate Claude. Authorized users could execute the full pipeline through natural-language prompts and request output formats, while preserving existing sensitive-data access controls.

Lead Programmer

SPV Capital Group

Feb 2023 — Aug 2024

Led MLB and NBA forecasting and owned the modeling roadmap, with the work contributing to more than $400K in team net profit over one year.

• Led MLB and NBA forecasting work contributing to more than $400K in team net profit over one year. • Owned the modeling R&D roadmap and delivery, setting research priorities, milestones and production release plans. Addressed overfitting and built time-aware cross-validation infrastructure.

Research Engineer

ScrySports

Nov 2019 — Feb 2023

Led a 3-4 person team building forecasting and simulation pipelines, sped up daily processing by over 10x and helped take a separate project to break-even.

• Led a team of 3-4 building forecasting and tournament-simulation pipelines for a product that generated approximately $1.1M in team net profit over three years. The company was subsequently acquired. • Moved Monte Carlo simulation and combinatorial optimization to PyTorch, reducing daily pipeline runtime by more than 10x. • Built backtesting infrastructure for hypothesis validation and took a separate project from financial modeling and roadmap to a break-even MVP in approximately six months alongside primary responsibilities.

Education

Master's, Applied Mathematics and Informatics

Moscow Aviation Institute

2005 — 2011

Machine Learning & Data Analysis specialization

MIPT & Yandex

2019 — 2019

Achievements

1st place, Leaders of Digital Transformation hackathon

Leaders of Digital Transformation · 2020

Skills

Time-series forecastingPooled models for short-history marketsDriver-based planningConstraint propagationBacktestingExperimentationCausal inferenceStatsForecastProphetscikit-learnPyTorchProduction Claude integrationNatural-language pipeline executionAccess-controlled data workflowsAI-assisted developmentPythonSQLBigQueryCloud RunAirflow