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Data Science Lead at Apple AI/ML
Experienced Full Stack Principal Data Scientist, Leader in voice assistant, AI, Recommender Systems, Marketing Automation, Fraud/Anomaly Detection, NLP, Predictive Modeling, Machine Learning, Lead Scoring, CRM, Sales/Marketing Data Analysis, Presentation. Expert in user engagement analysis, executive dash-boarding, ETL, automation. Handling data in petabyte scale. Interested in leveraging the latest AI technologies, including TigerGraph, LSTM, WaveNet, Explainable Machine Learning, FTRL, Factorization Machines, Bandit, Deep Learning, Ensemble, AutoML, Tensorflow to crack critical business challenges. Developed a next-generation Webscale Real-Time Recommendation Algorithm for various applications.
University of Michigan - Rackham Graduate School
Master of Arts (M.A.), Applied Statistics
January 1, 2013 – January 1, 2014
Peking University
Master of Science, Condensed Matter Physics
January 1, 2007 – January 1, 2010
Apple
AI/ML Data Science Lead
January 1, 2020 – Present
San Francisco Bay Area
LendingClub
Principal Data Scientist
January 1, 2019 – January 1, 2020
San Francisco Bay Area
SugarCRM
Senior Data Scientist - Lead
February 1, 2018 – December 1, 2019
San Francisco Bay Area
Oracle
Senior Data Scientist - Oracle Adaptive Intelligent Applications
May 1, 2016 – January 1, 2018
San Francisco Bay Area
Act-On Software, Inc.
Data Scientist - Engineering
July 1, 2014 – January 1, 2016
Portland, Oregon Area
Domino's Pizza
Data Scientist - Finance
May 1, 2014 – June 1, 2014
Ann Arbor, Michigan
University of Michigan - School of Information
Big Data Statistical Analyst
December 1, 2013 – May 1, 2014
Ann Arbor
University of Michigan
Statistics Consultant
July 1, 2013 – August 1, 2013
University of Michigan
Research Assistant
June 1, 2010 – May 1, 2014
Peking University
Research Assistant
June 1, 2007 – June 1, 2010
Deep Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse company environments, from large tech (Apple, Oracle) to finance (LendingClub) and CRM (SugarCRM), demonstrating adaptability. The progression through senior and lead data science roles aligns well with a target role requiring significant experience and leadership. The breadth of projects, including LLM evaluation, recommender systems, NLP, and churn prediction, indicates a versatile skill set applicable to various data-driven challenges. The target role of 'Data Analyst' might be a slight mismatch given the candidate's extensive senior/lead Data Scientist and AI/ML Data Science Lead experience, suggesting they might be overqualified or seeking a more strategic/architectural data role.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles and evangelism of AI/ML, suggesting strong communication and advocacy skills. Experience in standardizing data science projects and integrating platforms indicates a focus on operational efficiency and collaboration. However, without specific psychometric or communication test results, a definitive assessment of soft skills and operational fit is limited.