# Tian Yu

> Machine Learning at Instagram

Location: New York, New York, United States
Profile: https://flows.cv/tianyu1

US Citizen

## Work Experience
### Software Engineer, Machine Learning @ Instagram
Jan 2025 – Present | New York, New York, United States

### Applied Scientist II @ Amazon
Jan 2020 – Jan 2025 | New York, New York, United States
Sponsored Product Allocation & Pricing

### Data Science Manager @ AppNexus
Jan 2018 – Jan 2020 | New York, New York
Managing a team of Data Scientists

Standing up new R&D projects from ground up, working with stakeholders across multiple AT&T child companies on Audience Modeling & Optimization, for both Performance and Branding buying in digital/TV marketplaces

### Senior Data Scientist, Team Lead @ AppNexus
Jan 2017 – Jan 2018 | New York, New York
Technical lead of a team of Data Scientists.

Led team efforts and collaborated with Product, Engineering and Analytics teams to build and upgrade platform wide real-time bidding(RTB) valuation algorithms.

Main responsibilities include: 
-designing and developing Machine Learning algorithms based on existing techniques and modifying them to fit platform specific needs
-building and maintaining a Data Science owned A/B testing pipeline for fast experiment iterations
-guiding and mentoring other team members, coordinating and managing their day to day work

### Data Scientist @ AppNexus
Jan 2014 – Jan 2017 | New York, New York
Algorithmic design of products, including platform-wide optimization algorithms and real-time programatic trading strategies. Daily work involves:

-ETLs of log level data with Apache Spark/Hive on Hadoop clusters;

-building models and testing hypothesis with statistical and machine learning techniques on large scale data in Spark/Python;

-prototyping customized functions that are currently unavailable in open source softwares;

-building dashboards to visualize and track live test results and communicating with other Engineering/Product teams.

### Senior Modeling Analyst, Science Team @ AIG
Jan 2014 – Jan 2014 | new york, ny
-Lead Analyst that supported data-driven decisions for Global Consumer Underwriting processes, worked with global teams in U.S., Mexico and Japan. Example project work: Frequency/Severity models, Price Competitiveness, Home/Auto Underwriting Risk Segmentation, etc

-Communicated progress/results to business units such as Underwriting and Pricing Actuaries

-Held Teach & Learn Sessions to teach Bayesian Statistics to Science Team and few other analytics teams across AIG

### Modeling Analyst, Science Team @ AIG
Jan 2012 – Jan 2014 | New York, New York
-Built predictive models to support Data-driven decisions for Global Commercial and Consumer Insurance Underwriting processes, including Commercial lines in U.S. and Consumer lines globally.

### Analyst Intern @ Trilogy
Jan 2011 – Jan 2012
Cornell MPS Project-Predictive Modeling

-Cleaned raw data with SAS and R.
-Scored Internet generated US based automotive leads with a Naive Bayes Model 
-Predicted whether an automotive lead will convert as a sale at the dealership it was sent

### Actuarial Intern @ AVIVA-COFCO LIFE INSURANCE COMPANY
Jan 2010 – Jan 2010 | Beijing
-Reviewed the actuarial report to be submitted to the China Insurance Regulatory Commission (CIRC), examined premium and cash value models in EXCEL(VBA) for an endowment insurance product.


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology

### Master's Degree in Applied Statistics
Cornell University

### Bachelor's degree in Actuarial Science
Central University of Finance and Economics


## Contact & Social
- LinkedIn: https://linkedin.com/in/tian-yu-87969b34

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Source: https://flows.cv/tianyu1
JSON Resume: https://flows.cv/tianyu1/resume.json
Last updated: 2026-04-05