XIANGRU LI
San Bruno,CA
Summary
A seasoned Data Scientist, experienced working on end-to-end ML projects, from ideation, EDA, model training, model offline evaluation, deployment on production, online A/B testing analysis and post-deployment monitoring.
My main domain expertise is around Recommendation and NLP, also have some experience on Multi-Modal (image + text data) machine learning/deep learning projects.
Overview
7
7
years of professional experience
Work History
Senior Data Scientist
Intuit
01.2022 - Current
- Build deep learning models to automate transaction categorization for different use cases within QuickBook
- Collaborate with PMs to develop new product features to improve categorization models' performance
- Do optimization and maintaining on existing mature models and pipelines
- Do cross team collaboration to build document/image understanding capability
Senior Data Scientist
Epic Kids!
03.2020 - 01.2022
- Developed a contextual-based deep learning model for recommender systems from end to end, from research, ideation, EDA, model training, offline evaluation to A/B testing analysis. 25% lift was seen on the user engagement metrics from a/b testing.
- Implemented the algorithms from most recent paper from scratch in the Recommendation model.
- Collaborated with Engineers to deploy the model to production.
- Optimized model architectures and parameters to speed up training and serving processes.
- Developed a framework to generate content embeddings which were used by multiple projects.
Data Scientist
Epic Kids!
12.2018 - 02.2020
- Developed a few deep learning models for the recommendation system, surfacing personalized contents to users to improve user engagement. 10%~15% of lift was seen during each of the iteration.
- Built automated pipelines by using Airflow to speed up model development cycles from data processing, model training, offline evaluation.
- Lead the A/B testing analysis to evaluate machine learning models' online performances.
- Brainstormed with product/UX team to define business/success metrics and use cases for recommendations to make sure the model is aligned with the companies Mission.
Marketing Data Analyst
Epic Kids!
03.2018 - 12.2018
- Generated and maintained business performance dashboards, including user acquisition, customer engagement, and customer retention.
- Monitored changes of metrics and conducted deep dive analysis to detect the root causes of variance.
- Uncover insights for strategic goals, such as how to improve conversion rates, identify the main drivers of customer churn and retention, and facilitating marketing communication strategies through deep dive analysis.
- Performed investigations and collaborated with engineers to fix data quality issues.
Risk Analyst Intern
Uber
06.2017 - 11.2017
- Uncover insights on how to differentiate bot signups from legit users signups through data analysis.
- Based on the insights of the analysis, generated risk policies and rolled out the policies to production to prevent bot-sign-ups while making sure the guard rail metrics were not impacted negatively.
- Conducted a/b testing analysis to evaluate the effectiveness of the policies. We saw above 90% drop on bot-signups.
Education
Master of Science - Business Analytics
University of California - San Diego
La Jolla, CA12.2017
Bachelor of Science - Mathematics
Tianjin University
Tianjin, China07.2010
Skills
- Deep Learning/Machine Learning
- Analytical Skills
- A/B testing
- Python
- PySpark
- Tensorflow/Keras/Pytorch
- SQL
- Kubeflow
Timeline
Senior Data Scientist
Intuit
01.2022 - Current
Senior Data Scientist
Epic Kids!
03.2020 - 01.2022
Data Scientist
Epic Kids!
12.2018 - 02.2020
Marketing Data Analyst
Epic Kids!
03.2018 - 12.2018
Risk Analyst Intern
Uber
06.2017 - 11.2017
Master of Science - Business Analytics
University of California - San Diego
Bachelor of Science - Mathematics
Tianjin University
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