about me

experience

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**data scientist san francisco, ca **Circle september 2025 — march 2026

owned and shipped Circle’s feed ranking algorithm using engagement signals and time decay, driving a statistically significant 18% lift in post interactions across 14M+ users
built a company-wide KPI dashboard consolidating 50+ metrics across product, finance, and user engagement, adopted as the primary analytics tool by the executive team </aside>

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**data scientist, intern san francisco, ca **Global Key Advisors january 2024 — may 2024

analyzed 6K+ startups using logistic regression to identify key success predictors, delivering findings to the CEO to inform the firm’s advisory strategy
reduced analysis time by 90% by building a normalized PostgreSQL database from 7 years of raw csv files, enabling the investment team to run complex queries and create custom metrics </aside>

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**data science research assistant berkeley, ca **Department of Economics, UC Berkeley ****january 2023 — january 2024

built a scalable data pipeline to scrape, clean, and aggregate 100K+ local news tweets from 100+ regions in India, producing a structured dataset used to analyze conflict-related incidents
developed a geospatial dashboard using NLP and geocoding to extract locations from unstructured conflict reports, helping the team prioritize 20 regions for deeper analysis </aside>

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data scientist, intern almaty, kazakhstan Tayyab, Ltd. june 2022 — august 2022

cut ad spend by 15% through segment-level campaign analysis, identifying low-efficiency audiences to remove while maintaining downstream conversion volume
drove a 7% lift in push notification CTR through A/B testing personalized messaging across weekly raffle campaigns, identifying the winning message variant for 30K+ users </aside>

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B.A. in Data Science B.A. in Economics Cumulative GPA: 3.7

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Specialized in advanced physics and math Graduated with honors Cumulative GPA: 4.0

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                                               © *2025 by Umar Boboyev. All rights reserved.*