Monica T.

Monica T.

Expert Career Coach | Proven Track Record in Data Science & Tech

Carnegie Mellon University Logo

Studied at Carnegie Mellon University

LinkedIn Logo

Works at LinkedIn

Available tomorrow at 11:00 PM UTC

Questions? Start chatting with this coach before you get started.

Monica’s Career Development Qualifications

Experience level: Manager

10+ people coached for Career Development

As a Staff Data Scientist at LinkedIn, I have led key GenAI initiatives and successfully launched multiple high-impact products. My role also involved serving on both the new hire training and interview committees, giving me extensive experience in identifying what makes candidates stand out during interviews. Over the past few years, I have successfully secured offers from top tech companies and have helped early-career candidates navigate their career paths to land roles at leading tech firms. Whether you're looking to break into data science or advance your career, I am here to provide tailored guidance and actionable insights. Reach out to start your journey to success!

Monica can help with:

Interview Prep

Skill Building

Career Planning

Professional Networking

Resume Review

View all of Monica’s categories

Work Experience

LinkedIn Logo

Staff Data Scientist

LinkedIn

February 2018 - Present

Admissions Committee Experience

- Tech lead of key GenAI initiatives, launched LinkedIn's 1st GPT powered Virtual Chat Agent - New hire training committee - Interview committee

Autodesk Logo

Data Science Intern

Autodesk

May 2017 - August 2017

Frost & Sullivan Logo

Consulting Intern

Frost & Sullivan

October 2015 - January 2016

Monica was also given offers to work at

  • Meta (Facebook) Logo

    Meta (Facebook)

  • Lyft Logo

    Lyft

  • Affirm Logo

    Affirm

  • Autodesk Logo

    Autodesk

  • IBM Logo

    IBM

  • LinkedIn Logo

    LinkedIn

Education

Carnegie Mellon University Logo

Carnegie Mellon University

Master of Information System Management, Business Intelligence and Data Analytics

2016 - 2017

Grade: 4.05 Activities and societies: Students for Urban Data Systems (SUDS) Dean's List for Fall 2016, Spring 2017, Fall 2017 Graduated with highest distinction Selected Courses: - Machine Learning - Distributed Systems - Applied Econometrics I, II - Data Structure and Algorithms - Data Science and Big Data

Nanjing University Logo

Nanjing University

Bachelor's degree, Information Management and Information System

2012 - 2016

Grade: 3.9/4.0 Cum Laude, Double Degree in Accounting and Financial Management.

Monica T.

Monica T.

 
Sign in
Inbox
Free events