Mikhail Gorshkov

Data Scientist

Paris, Île-de-France, France4 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built AI-powered Analytics Agent reducing prep time by 50%
Created metrics hierarchy improving planning timelines by 90%
Designed dashboards influencing commercial strategy

Stackforce AI infers this person is a Data Analytics professional with expertise in AI and Business Transformation across Tech and Healthcare sectors.

Contact

Skills

Core Skills

Ai AgentsAnalyticsProduct AnalyticsBusiness TransformationProduct ManagementMarketing AnalyticsBusiness AnalyticsMarket ResearchBusiness DevelopmentBusiness Analysis

Other Skills

Agentic AI DevelopmentPython (Programming Language)Pandas (Software)NumPySQLAgile Project ManagementStakeholder ManagementStakeholder EngagementProduct AnalysisAnalyst RelationsTableauPythonInterpersonal CommunicationQuery WritingVisualization

About

Self-motivated data professional with 6 years of experience across healthcare (Sanofi, Abbott) and tech (fintech, e-commerce, marketplaces). Known for turning ambiguous business questions into scalable metrics, data models, and decision-ready analytics. Built stakeholder-aligned metric frameworks (metrics trees / hierarchies) and data management practices that reduced dashboard fragmentation and cut ad-hoc requests by 30%. Partnered with product teams to design a feature adoption measurement methodology, driving backlog reprioritization and a 2x increase in in-app user engagement. Experienced in stakeholder alignment, analytics architecture and AI analytics agent implementation. Core competencies: AI Agents · Data & information management · Analytics · AI analytics agents · Metrics frameworks · Product analytics

Experience

4 yrs 6 mos

Total Experience

1 yr 7 mos

Average Tenure

Current Experience

Vestiaire collective

Senior Data Analyst

Aug 2025 – Present · 9 mos · Paris

Built and deployed the company’s first AI-powered Analytics Agent (POC → production) - enabled natural-language access to cross-functional KPIs with automated reasoning. Reduced leadership meeting prep time by 50% and accelerated incident analysis.
Led AI adoption within the Analytics function, mentored colleagues on agent engineering techniques, defined high-impact use cases and integrated AI into performance workflows.
Identified checkout → payment UX friction; verified optimisation of payment stack (−2 methods) and increased payment success rate by +4% and -30% of carts with more than 1 payment method
Led A/B testing and regression-based treatment effect analysis on product description quality - estimated potential +1% uplift in product page → checkout conversion.
Designed executive Tableau dashboard analyzing funnel performance by price segments; insights influenced commercial strategy. Also boosted the storytelling capabilities of the team based upon price proposition within current UI

Agentic AI DevelopmentPython (Programming Language)Pandas (Software)NumPySQLAgile Project Management+8

Tutu

Head of Analytics Projects

Feb 2024 – Feb 2025 · 1 yr · Remote · Remote

Built a metrics hierarchy to align product teams during strategic planning, fostering a data-driven culture and improving planning timelines (on time vs. 5 months late in 2022) with 90% of OKRs set with numeric goals (up from 10% in 2022).
Designed and implemented a Jira- and Confluence-based process for handling data discrepancies through introducing Agile and Lean practices to enable transparent prioritization and faster resolution. Achieved a 3x faster task resolution and contributed to a 25% increase in stakeholder satisfaction with the Data team.

Interpersonal CommunicationQuery WritingVisualizationKey Performance IndicatorsStakeholder ManagementAgile Project Management+5

Osome

2 roles

Analytics Project Manager

Promoted

May 2022 – Dec 2023 · 1 yr 7 mos

Created an executive metrics tree and deployed a system of connected dashboards to unify key metrics and reduce fragmented reporting through aligning with stakeholders their business need and refactoring of Finance, Marketing, and Sales data pipelines - reducing ad-hoc requests to the Analytics team by 30%.
Designed together with 17 product teams a methodology to estimate Adoption Rate of new features through developing a business process of including specific triggers data in a regular report and analyzing it corresponding the framework developed - which resulted into significant insights on mobile UX patterns and reprioritization of backlog - given x2 increase in user engagement rate in APP over 6 months.
Assisted the CTO in implementing GDPR-compliant data storage policies by managing the design of a control dashboard to monitor contact information in corporate databases, reducing non-compliant data from 50% to 0.1%

Marketing AnalyticsProject ManagementInterpersonal CommunicationBusiness AnalysisQuery WritingVisualization+22

Product Analyst

Nov 2021 – Jun 2022 · 7 mos

Technical Stack used here: SQL, BigQuery, DBT, Looker

Marketing AnalyticsProject ManagementMathematicsInterpersonal CommunicationBusiness AnalysisQuery Writing+21

Ооо алькор и ко (л'этуаль)

Product Marketing Analyst

May 2020 – Apr 2022 · 1 yr 11 mos · Moscow, Moscow City, Russia

Designed a marketing segmentation matrix to identify client groups likely to purchase specific products by analyzing order history through collaborating with marketing managers and building an advanced Power BI dashboard, resulting in a 17% increase in email campaign conversion rates.
Implemented data management practices to unify event tagging metadata in Confluence, ensuring consistent data usage across product teams and achieving a 20% faster delivery of ad-hoc analytics.
Technical stack used: SQL, Power BI, BigQuery, Google Analytics, Yandex Metrics, Google Data Studio

Marketing AnalyticsProject ManagementMathematicsInterpersonal CommunicationBusiness AnalysisQuery Writing+26

Higher school of economics

Laboratory Research Assistant

Sep 2019 – Jun 2021 · 1 yr 9 mos · Moscow, Moscow City, Russia · Hybrid

Was responsible for collecting and analysing data within pharmaceutical industry (data sources: Bloomberg terminal, Thomson Reuters terminal, research papers)
Wrote Industry overviews of Russian and International Pharmaceutical Markets published in university papers and digests
Technical stack: Rstudio

MathematicsQuery WritingVisualizationStakeholder ManagementMarket ResearchQuantitative Research+3

Veropharm

Project Manager & Marketing Analyst

Jun 2019 – May 2020 · 11 mos · Moscow, Moscow City, Russia

Led sales reviews by designing a regional sales manager analysis framework and streamlining qualitative data delivery, -50% the preparation time for regional sales managers.
Collaborated with marketing managers to develop data-driven trade marketing campaigns, reducing non-sold merchandise due to expiration by 25%
Technical Stack used: QuickSense, Excel, OLAP cubes

Marketing AnalyticsProject ManagementMathematicsProduct StrategyBusiness AnalysisVisualization+14

Sanofi

Sales Analyst

Jan 2018 – May 2019 · 1 yr 4 mos · Moscow, Moscow City, Russia

Conducted regular exploratory data analyses for the CHC Sales Department and developed a Power Query and QlikSense-based Sales Dashboard, creating a single source of truth for key metrics and increasing data update frequency from quarterly to monthly (3x faster)
Co-designed with marketing managers a brand-specific SF budget allocation model in Excel, accelerating budget planning by 10%
Technical Stack used: QuickSense, Excel, OLAP cubes

Marketing AnalyticsBusiness AnalysisVisualizationCommunicationProject PlanningBusiness Analytics+7