Volodymyr – Python, Machine learning, AI

A social discovery platform.

• Developed a conversational AI chatbot powered by a state-of-the-art LLM, enhancing customer satisfaction;
• Led the development of an innovative search recommendation system, significantly boosting ARPU;
• Automated critical business processes with advanced image recognition, text classification, and clustering algorithms;
• Architected a cloud-based data platform using Airflow, dbt, and BigQuery to streamline data workflows;
• Mentored a dynamic data science team, fostering technical growth and driving cross-functional collaboration;
• Designed and implemented rigorous A/B testing to continuously optimize machine learning models in production.

A marketplace of rigorously vetted and curated developers.

• Led a high-impact marketing traffic estimation project, reducing decision-making time from 20 to 5 days;
• Developed a real-time car price estimation model that enhanced negotiation dynamics and improved conversion rates;
• Engineered robust data platforms on GCP and AWS, significantly improving data processing efficiency and scalability.

The product provides solutions for betting and casino platforms.

• Built and led a team of 6 data scientists, providing mentorship that accelerated product innovation;
• Designed comprehensive antifraud solutions that resulted in an 80% reduction in fraudulent activities;
• Collaborated with cross-functional teams to integrate machine learning solutions, achieving substantial business impact;
• Instituted MLOps best practices, streamlining deployment and monitoring for 10+ production models.

A real estate marketplace.

• Built ML models for user behavior prediction and recommendation systems;
• Created tools for CTR, CR, LTV prediction, and models for advertising campaign optimizations;
• Developed tracking dashboards and prepared analytics reports;
• Managed Data Science team;
• Deployed and managed ML engines on the production.

An outsourcing company with clients from different sectors (energy demand, fin market).

• Created and presented models and solutions for existing and potential clients;
• Prepared project workflow and documentation;
• Developed prediction and optimization algorithms for energy demand programs;
• Developed the prediction of price movements in financial markets.

An e-commerce recommendation platform.

• Developed recommendations and a scoring model for product comparison from Amazon, Walmart, eBay, etc.;
• Increased revenue by ~35% using ML models;
• Deployed the recommendation engine to the production environment;
• Constructed A/B tests;
• Explored customer behavior on the web.