qingqing he
@qingqinghe
I am a senior data scientist optimizing LLMs and experiments for product growth.
What I'm looking for
I am a senior data scientist with 5+ years at leading tech firms, specializing in LLM performance optimization, causal analytics, and large-scale experimentation.
At Tencent and Kuaishou I designed evaluation benchmarks and prompts and researched ranking algorithms (Elo/TrueSkill) for robust LLM assessment. I developed A/B testing systems, built monitoring dashboards, and managed evaluation datasets (cleaning, Hive storage).
I optimize recommendation efficiency and ad product performance through causal inference, uplift modeling, and advertiser lifecycle analysis, supporting high-impact campaigns. I seek roles where I can lead LLM evaluation and experimentation to drive measurable model and business improvements.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Tencent
Feb 2024 - Present (1 year 7 months)
Researched ranking algorithms (Elo/TrueSkill) and data filtering methods for LLM evaluation, designed evaluation benchmarks, prompts, and analysis frameworks. Developed A/B testing systems for LLM applications and managed evaluation datasets with Hive-backed monitoring dashboards.
Data Analyst
Kuaishou
Nov 2020 - Feb 2024 (3 years 3 months)
Optimized recommendation efficiency through user behavior analysis and uplift modeling, and developed advertiser lifecycle and churn monitoring systems. Supported Olympic/CNY campaigns with traffic forecasting and KPI design.
Education
Degrees, certifications, and relevant coursework
Dongbei University of Finance and Economics
Master of Applied Statistics, Applied Statistics
2016 - 2018
Completed a Master of Applied Statistics at Dongbei University of Finance and Economics in Dalian from September 2016 to July 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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