Azizbek Abdrakhimov - Резюме Senior Product Data Science

Senior Product Data Science
IT-сфера
7000 $
Канада (Торонто)
10 годин тому
Контактна особа: Azizbek Abdrakhimov
Вік: 30
Телефон: Показати
Досвід роботи:
Senior Product Data Scientist May 2025 - to present QIC Digital Hub, Qatar, Doha Digital transformation hub of QIC, one of the GCC’s largest insurers, building digital insurance products across MENA. Led AI strategy, budget, hiring, prioritization, architecture, and end-to-end delivery in a regulated insurance environment, managing a 3-person team. Built the AI function from scratch, taking three solutions to production with $350K+ in expected annual impact. Identified a policy-renewal drop-off caused by a system error and launched an operator chat flow, recovering ~$170K in annual revenue. Launched an Intercom Fin AI agent, resolving 85% of web inquiries without human intervention. Built a multi-agent moderation system for automotive listings, automating 90% of manual checks and saving ~$15K monthly. Built a secure local RAG platform, enabling internal teams to work with 400+ internal documents while keeping confidential information internal. Product & Marketing Analytics Lead Jun 2024 - May 2025 Led product and marketing analytics across 7+ teams, managing an 8-person cross-functional team. Built the company-wide experimentation framework across five product teams, running 10+ A/B tests using bootstrap, chi-square, and Bayesian methods. Built 500+ ETL components with Dataform, Airbyte, and Airflow across product, marketing, and backend data. Improved cross-channel attribution, optimizing budget allocation without reducing conversion. Scaled product analytics from 1 to 7+ teams, embedding experimentation and self-service analytics. Shifted analytics from reporting to hypothesis-driven product discovery and release evaluation. Principal Product Analyst Jun 2023 - May 2024 Built product analytics from scratch for digital insurance products, establishing event tracking, funnels, dashboards, and measurement processes. Increased visit-to-purchase conversion across key products from 22% to 40% for Visitors, from 12% to 18% for Motor, and from 8% to 11% for Travel. Reduced backend-to-GA4 discrepancies from 40% to 1-5% via server-side events and user_id funnel tracking. Standardized event taxonomy across web and mobile products and built self-service data quality dashboards, improving reliability of product metrics. Detected fraudulent activity through retention anomalies, addressing ~$10K in monthly exposure. Product Data Analyst Nov 2021 - May 2023 Lenta Online, Russia, Moscow E-grocery business of Lenta, one of Russia’s largest FMCG retailers, serving 650+ locations. Owned product analytics for an e-commerce platform serving 10M MAU, monitoring product metrics and conversion across key teams. Built an automated A/B testing platform for 7 analysts using bootstrap, chi-square, and Bayesian methods, scaling experimentation from 2-3 to 8-12 tests per month. Migrated 40 product analytics pipelines and 14 dashboards from BigQuery to ClickHouse and PostgreSQL in one month, preserving data integrity and uninterrupted reporting. Redesigned data aggregation, cutting BigQuery processing by 40% and accelerating dashboards. Identified and fixed an app issue distorting experiment results, reducing unpurchased orders by 20%. Lead Digital Product Analyst Jan 2021 - Oct 2021 Beeline, Kyrgyzstan, Bishkek Major telecom operator serving millions of customers through mobile, internet and digital products across Kyrgyzstan. Led product analytics across three digital teams, covering 450K peak MAU, and built product metrics dashboards in two months for weekly performance monitoring. Identified a 60%-revenue segment, refocusing product development on high-value customers. Redesigned renewal flows and push communications, increasing renewal conversion by 18 p.p. Analyzed digital channel impact using matched groups, identifying 15% higher average spend among app users. Digital Product Analyst Nov 2017 - Dec 2020 Beeline, Kyrgyzstan, Bishkek Kyrgyzstan’s digital agency offers a full cycle, from development to product launch. Implemented and validated Google Analytics, Amplitude, and Google Tag Manager tracking for 10+ client companies, configuring events and conversion funnels. Conducted an SEO audit for a plastic surgery clinic and oversaw fixes for four critical issues, growing monthly organic traffic from 600 to 5,400 visits in six months.
Освіта:
Kyrgyz-Russian Slavic University, Faculty of International Relations, World Economy, Bachelor’s degree, 2013-2017.
Професійні та інші навички:
Product Strategy, A/B Testing & Experimentation, Experiment Design, Product Metrics, Growth Analytics, Marketing Attribution, NumPy, SciPy, Scikit-Learn, LLM Evaluation, Multi-Agent Systems, GA4, Amplitude, Looker, Airflow, Dataform, LangGraph, LangChain, Google ADK, Langfuse, Qdrant, FastAPI, Kafka
Python PostgreSQL SQL Pandas BigQuery ClickHouse Product Analytics Product Data Science A/B Testing Causal Inference Funnel & Cohort Analysis Statistical Modeling LLMs AI Agents RAG
Володіння мовами:
Английский
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