Pavel Kochetkov
About
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Co-Founder, CTO
San Francisco, California, United States
Résumé
Jobs
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Co-Founder, CTOClarityJan 2023 - Current (3 years 10 months)- Applied AI ResearchWishJan 2020 - Dec 2022 (3 years)Leading a centralized Data Science team driving impactful ML and AI solutions across the organization:
• Advanced Product Structuring: Automated tagging and attribute extraction for billions of products, surpassing industry benchmarks and significantly improving customer navigation.
• Demand Forecasting: ML-driven inventory predictions optimizing stock management.
• Revenue Optimization: Hybrid recommendation systems combining organic search with targeted ads, significantly boosting revenue.
• Scalable Content Moderation: AI-based detection of counterfeit, explicit, and brand-infringing content across massive datasets.
• Experimentation Platform: In-house A/B testing infrastructure enabling rapid, data-driven produc - Lead Data Scientist / Applied ResearchCareemJan 2017 - Dec 2020 (4 years)Leading a humble Data Science Team for Mobility of Things Domain.
Making the most of out of AI applications for Multi-Stakeholder Marketplace. And yeah, the results are super yummy!
● A breakthrough ML dispatching system that has saved over 25%+ drivers' time globally
● AI personalization of the feeds: restaurants, cuisine, carousels and dish recommendations. The solution optimizes simultaneously for customers' conversion and experience, drivers time and marketplace fairness.
● Brand new ML Based tracking system, with 20%+ global improvement in the optimal ETA customer experience
I joined the company as a senior data scientist, and at that time was developing solutions for the most exciting proble - Data Scientist / Applied ResearcherCiscoAug 2016 - Sep 2017 (1 year 2 months)Research and POC of a generative deep learning model (VAE, GAN) that learns hidden data center traffic structure and then generates similar traffic to use for simulation.
Machine Learning techniques to analyze network traffic and develop a network modeling system. Classification, cluster analysis, anomaly detection, pattern recognition, time series analysis of network traffic. - Data ScientistMailRu GroupOct 2014 - May 2016 (1 year 8 months)Designed and implemented realtime machine learning news popularity prediction system from the scratch. The system is based on Twitter data provided by Twitter Streaming API. The task was considered as a combination of regression and ranking problem.
Worked with bank transactions to segment, cluster, classify bank's customers and identify anomalies in the transactions. Applied active learning approach for smart sampling. - Full-stack DeveloperMailRu GroupSep 2012 - Aug 2014 (2 years)
Education
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- Master's degree, Computer ScienceLomonosov Moscow State University MSUJan 2015 - Dec 2017 (3 years)
- Analyst, Data science, big data, search enginesTechnoSphereJan 2015 - Dec 2016 (2 years)
- TArchitect, WebTechnoParkJan 2013 - Dec 2015 (3 years)
- Bachelor's degree, Computer ScienceBauman Moscow State Technical UniversityJan 2011 - Dec 2015 (5 years)