Vaibhav Bansal
Staff Machine Learning Engineer, Risk and Fraud at Uber
- Role
- Staff Machine Learning Engineer at Uber
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Vaibhav Bansal
Solving real world problems using Machine Learning.
Experience
Staff Machine Learning Engineer
Sep 2024 — Present
Leading end-to-end charters within the Risk, Fraud, and Payments space using Machine Learning- Proactive fraud and abuse prevention using realtime Risk models- Auto-labeling manual review policies using GenAI- Reactive fraud dollar recovery (chargebacks)- Ticket Auto Routing using language models- Dynamic payment retries- Causal Learning based waiver campaigns- Sequence learning fraud models
Education
Carnegie Mellon University
Master of Information Systems Management - focus on Machine Learning
2016 — 2017
Jaypee Institute Of Information Technology, Noida
Bachelor's Degree, Computer Science
2009 — 2013
Skills
- Robotics
- Object Oriented Design
- Machine Learning
- Data Analytics
- Marketing
- Html
- Mysql
- C
- Css3
- Microsoft Office
- Product Management
- Web Development
- C++
- Json
- Css
- Image Processing
- Angular Javascript
- User Interface
- Tableau
- Java
- Responsive Web Design
- Business Strategy
- Jquery
- Bootstrapping
- Team Management
- Html5
- User Experience Design
- Sql
- Linux
- Opencv
- User Interface Design
- Javascript
- Html 5
- Web Design
- Python
- Ajax
- Php
- Cascading Style Sheets (Css)
- R
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