Position: Product manager
Category: Product Manager
English level: fluent
Years of experience: 2

• Developed 12 machine learning-based Cross-sell recommendation models. Resulted in a 3.1m $ revenue boost in sales that corresponds to 11% of SME business revenue in 2022.
• Digitalized customer engagement of sales teams by building API-based web CRM tool that saved time in the sales process by 20%. 
• Developed a sales funnel dashboard that brought transparency for the results of projects to all stakeholders.
• Managed Churn Management use case that predicts “about to churn” clients 3 months before with 82% precision. Resulted in revealing customers’ main pain points and prevented 500k $ revenue loss annually.
• Initiated Lead Generation use case. Produced prioritized potential B2B customer leads 3x more than the current client base. Already generated 300k $ revenue during a 3-month pilot of product.
• Led the migration of ML models and data pipeline into the Dataiku platform which saved 50% of DS time in building the pipeline and monitoring.
• Implemented Scrum for Data Science use cases. Organized timebox events of Scrum and kept needs and feedback of end users and the main stakeholders as priority 1 for the product team.
• Effectively communicated and directly reported the status of data products to main stakeholders such as product heads, sponsors, and the executive board.
• Craved success with the cross-functional team of 3 data scientists, 1 back-end, 1 front-end developer, and 1 UX/UI designer.
• Held speech on the topic “Machine Learning Product Development” at Data Day of Digital Heights Summit ’22 organized by PASHA Bank.
• Stakeholder management: I have a track record of working effectively with Data Division, Data Governance, BI, validation teams, tech leads, sales teams, product managers, and business owners.
• Product strategy: I have a proven ability to develop business cases with vision, conduct feasibility analysis, estimate impact, define KPIs, create roadmaps, and allocate resources. 
• Product management: I have a strong background in prioritizing PBIs, collecting customer needs, transforming them into technical tasks with clear goals and criteria, developing feature maps, modeling approaches, conducting client interviews and demos, and creating product designs.
• Strategic contributions: I have a history of collaborating with PwC consultants on building validation processes, driving the migration of ML models into the Dataiku platform, and enabling Scrum in AA teams without a Scrum master.
I am an experienced Product Manager with a specialization in Advanced Analytics, having led the development of machine learning models for sales performance and digital sales channels of a corporate bank. My role included overseeing cross-functional teams of data scientists, developers, and designers to deliver successful data products. I have demonstrated expertise in digitizing customer engagement, implementing Scrum for Data Science, and communicating effectively with stakeholders. My strategic, analytical, and collaborative skills enable me to work in fast-paced, agile environments and build strong relationships with cross-functional teams and stakeholders. I am committed to utilizing my experience to drive innovation, optimize operations, and promote business growth.
Clear and well-defined product strategy aligned with the company's strategy.
Adequate resources and tools
Empowerment
Continuous learning and development