Zhening Zhang
Data Scientist at TikTok
- Role
- Data Scientist - Product Analytics at TikTok
- Location
- Baltimore, MD, US
- LinkedIn followers
- 500 followers
About Zhening Zhang
Skilled data enthusiast with professional experience in the IT and financial industry, my most recent job is the Quantitative Analyst at Bankers Healthcare Group. Prior to this, I interned as a data analyst at Zhihu and Tantan, two Chinese IT companies, where I gained expertise in Data Analysis and product sense. I\'m currently working for NYL as a Data Scientist Intern and actively looking for a data science-related full-time job in 2023 Fall as well.I am also a current student of the MSDS program at Columbia, and I was an undergraduate at the University of Washington with a Bachelor of Science degree in Statistics (Data Science track) and Psychology. Through years of study in data and statistics, I care deeply about how we can tackle real-life problems via data analysis. I believe data has become an inseparable part of our lives in this era of information explosion and I\'m passionate about the potential it has to impact the world we live in.I would greatly appreciate any opportunity that would help me cultivate and further hone skills in Data Science and Statistics and challenge me intellectually.Area of specialty: Data Analysis, Data Visualization, Tableau, SQL, R, Python, Mathematical Modeling, Analytical Skills.Tools: Python (numpy, seaborn, scikit-learn, TenserFlow, PyTorch), SQL, R (tidyverse, ggplot2), Tableau, Excel (Pivot Table, Vlookup), AWS, Databricks, Microsoft Azure, Google Analytics
Experience
Data Scientist - Product Analytics
Jan 2024 — Present · San Jose, CA, US
Boosted 7% & 15% increase in user retention rate & submission conversion for AIGE (an AI-to-effect product) by enhancing the AI model\'s intelligence level with specification strategy based on user lifecycle analysis- Enhanced TikTok effect supply by 10% by enhancing effect creators’ productivity through product iteration and diverse asset integration, informed by a comprehensive baseline analysis of asset usage among effect creators- Increased TikTok Effect\'s publish rate by 25% through statistical experiment design for feature launches and AB test analysis on 10M+ users, providing strategic guidance and regular data support (eg.event tracking design) for launching new capabilities- Resolved a holdout AB experiment leakage issue through attribution analysis by identifying the root cause and redesigning the experiment, leading to a 22% improvement in the accuracy of core metrics such as lifetime and publish rate- Built data pipelines and developed dashboards with 100+ visualizations via hiveSQL, empowering over 100 teams to make data-driven decisions and contributing to a 10% increase in the publish rate- Performed weekly attribution analysis of Effect House’s (TikTok effect creation tool) DAU, identified the root cause of a declining trend, and implemented solutions to prevent a potential 10% loss in DAU.
Education
Columbia University
Master's degree, Data Science
University of Washington
Bachelor of Science - BS, Statistics
University of Washington
Bachelor of Science - BS, Psychology
2017 — 2021
University of Washington
Bachelor of Science - BS, Statistics
2017 — 2021
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