
Владислав Рябухин
@0006319
I turn product and marketing data into revenue and retention decisions.
What I'm looking for
I've delivered data analysis for Gazprombank, FPG Energocontract, Russian Venture Company, and Technospark.group across financial services, energy, retail, and industrial technology.
At Gazprombank, I built SQL- and Python-based ETL pipelines, KPI and conversion-funnel dashboards, and data-quality controls to support weekly product and marketing decisions.
At FPG Energocontract, I used segmentation, A/B tests, cohort analysis, and Tableau reporting to prioritize high-value oil and gas accounts and improve campaign decisions.
Earlier, I reduced Jarhead development costs by 50% and production costs by 30%, shortened Videopod supply-chain lead time from five to three months, and supported strategic product decisions through market, vendor, and customer analysis.
Experience
Work history, roles, and key accomplishments
Owned end-to-end data analysis supporting marketing and product decisions in a financial-services environment.
• Built SQL- and Python-based ETL pipelines to integrate marketing and product data into a consistent source of truth.
• Developed KPI and conversion-funnel dashboards used weekly by marketing and product stakeholders for performance reporting and decision-making.
• Implemented data-qua
Supported data-driven B2B expansion of heat-resistant products into oil and gas accounts.
• Performed customer segmentation to identify high-value accounts and prioritize commercial outreach.
• Designed and analyzed A/B tests and conversion funnels to evaluate outreach approaches and improve campaign decisions.
• Built Tableau KPI dashboards and performance reports that gave leadership visibility
Led an end-to-end retail innovation study, from market research and quantitative analysis to a phased implementation roadmap.
• Collected and analyzed market and vendor data for more than 10 potential providers.
• Built a structured vendor-evaluation framework that shortlisted 40% of the providers reviewed.
• Compared build-versus-partner scenarios and influenced a strategic investment decision
Delivered product and commercial analytics across three product lines, combining market research, customer discovery, competitive analysis, and quantitative analysis.
• Jarhead: reduced development cost by 50% and production cost by 30% through competitor, supplier, and vendor analysis.
• Videopod: reduced supply-chain lead time from five to three months and supported the launch of two product k
Education
Degrees, certifications, and relevant coursework
freeCodeCamp
Data Analysis with Python
Issued Jul 2025
Tomsk State University
Bachelor's Degree, Economics
2017 - 2021
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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