What I do
Product managerEnsure that the product meets customer needs and achieves business goals
Business DeveloperIdentifying and developing new business opportunities for an organization
Product StrategyDefining a product's vision, goals, and roadmap to ensure successful development and market success
Team LeadershipCulture, Vision, Coaching
NLP & PythonDevelop applications and demos to show the potential of data science, verify hypotheses and validate a concept
MentoringIt is a relationship where I help to guide the mentee by sharing knowledge, experience, and support
I have developed and improved products at different stages, from conceptualizing a machine-learning product to optimizing the experience for millions of users and bringing products to new markets.
I have great vision and broad T-shaped expertise due to my experience with various industry verticals.
- EdTech applicationAI-powered reading tutor for children
- Educational eventsRecommender system for social, educational events and MOOC courses
- Logistics CompanyPrice Forecasting and Margin Optimization
- Automated UGC moderationMulti-label Text Classification
- FinTech companyBrought financial services to new markets
- Media portalConsulting, Business Intelligence
Data Product Owner,
Data Monsters
Responsibilities:
• Report to CEO & managing partners;
• Oversaw product development from start to finish, ensuring that all stakeholders and cross-functional teams were kept informed;
• Clarified business requirements and led strategic Release Planning and tactical Iteration Planning sessions;
• Leading the R&D activity for the Data products;
• Developed roadmaps for all teams and projects to reach predictive velocities;
• Additionally, I built an agile development process for data scientists;
• Budgeting and allocating resources to a project;
• Working together with Talent Acquisition Manager to hire tech talents;
• Provided mentorship to team members.
Achievements:
• I successfully led and developed nine data science projects from various industries: EdTech, recommendation systems for offline events and MOOCs, predictive analytics for logistics, industrial production optimization, toxic content search, etc;
• ML project management methodology formed and executed;
• Built an internship and onboarding system for beginner data scientists, which allows quick recruiters, introduces new people to projects and grows within the company to the middle and senior levels.
Universität Bonn
• Worked on predictive analytics for time series and data generation algorithms.
• Foundation research on representation, enrichment, and analysis of spatial-temporal data using machine learning methods, semantic technologies, and natural language processing;
• Guide three Ph.D. students' work;
• Integration of research results into the project prototypes and timely delivery;
• Support teaching activities in the courses in Data Science and Information Retrieval;
• Ensuring secure operations in compliance with upcoming European legal regulations.
Head of marketing & product,
IT Nova LLC
Responsibilities:
• Report to CEO & business owner;
• Led a cross-functional team of 7 individuals, while effectively managing a larger team of up to 25 employees through indirect supervision;
• Remote team management;
• Coordinate the full product-development life cycle;
• New features development and improvement of existing ones according to business needs;
• Developed product strategy (mission, strategic direction of development, market niches and client strategy);
• Tactics worked out (metrics, roadmap).
Achievements:
• I set up a system to handle churn rate, retention, and unplanned retention expenses. So the cost per client acquisition was lowered by 30%;
• Brought the product to several Asian markets, thereby increasing the company's income by 12% in 20 months;
• Suggested optimization of employee reporting resulted in a 10% increase in workers’ productivity.
However, she soon sought more challenging tasks and pursued a Ph.D. in Data Science and Artificial Intelligence. She is now one of the top 10 NLP researchers in Russia, according to the AI almanac published by MIPT.
For the past 8 years, she has been responsible for launching, growing, and developing IT products, including complex, knowledge-intensive products that use Data Science and Machine Learning technologies.
She is also a co-author and co-host of the LeanDS course on a data science project and product management.
She is able to deal with people from diverse scientific, commercial, and professional disciplines. Dynamic, data-driven, and customer-oriented leader with deep skills in management, monetization, analytics, and Data Science.
By interacting with different departments, she helps businesses optimize processes and find areas that can be optimized and improved with the help of ML.
Let's get in touch
Email: [email protected]
