Zhongmou Li

Data Analyst

https://talent.gravityer.com/zhongmou-li

Staff Machine Learning Engineer at Reddit

Reddit, Inc.

Key Strengths

Extensive experience in Machine Learning for Ads Recommendation/Personalization at Reddit and Meta, directly relevant to data analysis in advertising.
Deep expertise in building and improving end-to-end machine learning systems, including privacy-preserving ML and multi-stage optimization.
Proven track record in data exploration, feature engineering, and advanced model techniques for significant business impact (e.g., 10% ads delivery efficiency improvement at Meta, 40% cost reduction at Microsoft).
Strong background in recommendation systems and predictive modeling, as demonstrated at Microsoft and in Ph.D. research.
Ph.D. in Machine Learning for Business Intelligence from Rutgers Business School, indicating a strong theoretical and research foundation.
Experience with large-scale machine learning problems and big data services (Microsoft Azure).
Diverse application of ML techniques across various industries (finance, marketing, retail, automotive) for fraud detection, risk analytics, and customer churn prediction.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive experience across major tech companies (Reddit, Meta, Microsoft) and consulting (PwC) demonstrates adaptability to diverse corporate cultures. Their academic background and research contributions suggest a continuous learning mindset. The variety of projects, from ad personalization to financial fraud detection and retail recommendations, indicates a broad interest and ability to apply data analysis skills across different domains, aligning well with a dynamic data analyst role.

Soft Skills & Operational Fit

The candidate's experience descriptions highlight leadership in engineering teams, driving strategic direction, and project tactical execution, suggesting strong operational fit and leadership potential. The detailed descriptions of problem-solving and impact (e.g., cost reduction, efficiency improvement) indicate a results-oriented approach. Collaboration with XFN teams is also mentioned.

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About

Staff Machine Learning Engineer in Ads Recommendation / Personalization team at Reddit. Previously was ML engineer tech lead in Meta (Facebook) Ads Core Machine Learning team, driving end-to-end machine learning innovations on ads personalization, quality, delivery efficiency, and stability. Ph.D. in machine learning from Rutgers University. Passionate about applying AI/ML to solve real-world problems. Spend my 10+ year industry and academic career on the application of AI, machine learning, and deep learning to help businesses solve mission-critical problems.

Top Skills

Data MiningMachine LearningPythonStatisticsAlgorithmsData AnalysisOptimizationBig DataRSQLC++JavaHadoophiveSparkDeep LearningData sciencePredictive ModelingTime Series Analysis

Experience

Reddit, Inc.

Staff Machine Learning Engineer

August 1, 2022 – Present

Greater Seattle Area

Key Strengths

Extensive experience in Machine Learning for Ads Recommendation/Personalization at Reddit and Meta, directly relevant to data analysis in advertising.
Deep expertise in building and improving end-to-end machine learning systems, including privacy-preserving ML and multi-stage optimization.
Proven track record in data exploration, feature engineering, and advanced model techniques for significant business impact (e.g., 10% ads delivery efficiency improvement at Meta, 40% cost reduction at Microsoft).
Strong background in recommendation systems and predictive modeling, as demonstrated at Microsoft and in Ph.D. research.
Ph.D. in Machine Learning for Business Intelligence from Rutgers Business School, indicating a strong theoretical and research foundation.
Experience with large-scale machine learning problems and big data services (Microsoft Azure).
Diverse application of ML techniques across various industries (finance, marketing, retail, automotive) for fraud detection, risk analytics, and customer churn prediction.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Zhongmou Li

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Key Strengths

Cultural & Operational Fit