Mariia Tokareva
Mariia Tokareva

Data & AI Product Analyst

Actively looking · Member since 21 Jan 2026
Message
Location
France
Desired salary
Unspecified
Work preference
Full Time
Experience level
Not set

About

Professional summary

I am a data-driven analyst with nearly two years of experience, including internships, in performance analysis, demand monitoring, and optimization of complex operational systems. My expertise lies in SQL, Python, BI tools, Microsoft Power Platform, and KPI frameworks. I have a proven ability to manage analytical projects end-to-end and collaborate effectively with cross-functional stakeholders. I am committed, proactive, and reliable, bringing structure, curiosity, and genuine motivation to build impactful products.

In my recent role as an AI Integration Engineer at Danone SA in Paris, I designed and deployed AI assistants integrated with SharePoint using Power Automate and Power Apps, automating document management processes and improving search efficiency for over 250 users. I took ownership of analytical projects, coordinating with technical, data, and business teams to ensure alignment with operational and business priorities. I also delivered structured reports and presentations to highlight performance, risks, and opportunities for optimization.

Previously, I worked as a Junior BI Analyst at Sberbank PJSC, where I analyzed large transactional datasets to monitor regional business portfolios, built and maintained SQL-based ETL pipelines, and designed interactive dashboards using Power BI, Qlik Sense, and Tableau. I partnered with business and engineering teams to identify performance gaps and propose optimization actions.

I have also been responsible for document management in a non-profit organization, where I organized and maintained shared documentation, designed classification standards, and improved accessibility and reliability of operational documents supporting international projects.

Currently, I am pursuing a Master of Science degree in Data Science at EURECOM in France, where I am engaged in academic projects involving multi-step reasoning systems, research on error propagation in LLM pipelines, and coursework in machine learning, NLP, neural networks, and databases. I am fluent in English and Russian, professionally proficient in French, and actively involved in volunteering and educational activities, including teaching mathematics and organizing educational camps.

I am passionate about leveraging data and AI technologies to drive business value and am eager to contribute my skills and enthusiasm to a dynamic team.

Skills

14 capabilities

Experience

Career history

AI Integration Engineer Danone SA

Designed and deployed Copilot Studio AI assistants integrated with SharePoint using Power Automate and Power Apps to automate document tagging, classification, and retrieval, improving search efficiency for 250+ internal users. Owned end-to-end analytical projects supporting operational teams, coordinated with Tech, Data, and Business stakeholders, and delivered structured reports and presentations highlighting performance, risks, and optimisation opportunities.

Junior BI Analyst Sberbank PJSC

Analysed large transactional datasets to monitor performance of regional business portfolios across 3 divisions. Built and maintained SQL-based ETL pipelines to support operational and strategic KPIs. Designed interactive dashboards (Power BI, Qlik Sense, Tableau) enabling continuous performance tracking and faster decision-making. Partnered with business and engineering teams to identify performance gaps, investigate root causes, and propose optimisation actions.

Document Management Responsible Non-profit organisation in the area of culture and education

Owned the organisation, structuring, and maintenance of shared documentation across local and European-level teams. Designed and enforced document classification standards, naming conventions, and version control processes. Coordinated with multiple stakeholders to ensure timely updates, compliance with internal guidelines, and easy document retrieval. Improved accessibility and reliability of operational documents supporting international projects and events.

Education

Learning history

EURECOM (Graduate School and Research Center in Communication Systems), IMT, Sophia-Antipolis, France

Master of Science in Data Science

Subjects included Database Management System Implementation, Introduction to Management, Machine Learning and Intelligent System, Distributed Systems and Cloud Computing, Basics in Business, Advanced Statistical Inference, Python (including Pandas, PyTorch, Transformers), SQL, Git tools. Paper research: TruthEval – Evaluating answer correctness for Retrieval Augmented Generation (LLM, NLP).

Peter the Great Saint-Petersburg Polytechnic University, Saint-Petersburg, Russia

Bachelor of Computer Science and Software Engineering

Thesis in the field of: “Technology of development and maintenance of a high-quality software product”

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