I'm Trevor Lindsay

Data Scientist | Problem Solver

Instagram data scientist, passionate about technology, addicted to pizza.

About Me

Hello, My Name is Trevor.

Born and raised in Stone Mountain, Georgia. Curious and ambitious data guy with a knack for solving unstructured and complicated problems.

I currently work as a data scientist on the Shopping team within Instagram. I'm focused on ranking, quality and growth with the ultimate goal of personalizing and growing a healthy ecosystem across all of our shopping surfaces.

I am also the lead instructor for General Assembly's part-time data science program. Through 60 hours of instruction, I teach students common data science techniques with a focus on exploratory data analysis, statistics and predictive modeling.

Before Facebook, I was a Live Operations Manager at Machine Zone (the gaming company befind Game of War: Fire Age and Mobile Strike). While there, I spent most of my time analyzing user data and building models of user behavior to improve monetization and retention.

I graduated with honors from Georgia Tech in 2014 with a BS in Economics. My coursework focused on applied microeconomics and my honors thesis was titled The Law and Economics of Merger Enforcement and Innovation.

Contact Details

  • Trevor Lindsay
  • San Francisco, CA
Download Resume

Skills and Expertise

I'm always picking up new skills!

99%
SQL
90%
Python
70%
Java
27%
C++
54%
STATA

Knowledge

My curiosity is the source of my knowledge

Machine Learning / Deep Learning

65%

Object-Oriented Programming

75%

Natural Language and Computer Vision

25%

Statistics

70%

My Resume

Education

2012 - 2014

Bachelor's Degree - Georgia Institute of Technology

Bachelor of Science in Economics

  • Coursework and research focused on the applications of microeconomics and industrial organization
  • Graduated in 2 ½ years; Recipient of the National Achievement Scholarship, Carson Scholarship and Tower Award for Academic Excellence; Placed on the Dean’s list for four consecutive semesters

Honors Thesis (advised by Dr. Juan Moreno-Cruz)

The Law and Economics of Merger Enforcement and Innovation

  • Investigated the pitfalls of the DOJ / FTC merger enforcement policies as they pertain to high-tech industries
  • Used microeconomic theory to argue the need for a fundamental shift in the government’s approach to merger analysis and that a greater emphasis must be placed on the long-term benefits of consolidation

Work Experience

10/16 - Now

Data Scientist - Facebook

  • Led the development and experimentation of targeted friction flows that reduced losses and false positives for our payments products
  • Continuously driving the insights, experimental design, measurement and analyses instrumental to keeping Facebook and Marketplace a safe place to transact
  • Delivered tech talks on data science and technical challenges we face at recruiting events all around the country
12/17 - Now

Lead Instructor - General Assembly

  • Teach students common data science techniques with a focus on exploratory data analysis, statistics and predictive modeling
  • Guided students with no prior experience in data science through the development of a final project that allows them to use large data sets to solve a business problem, create predictions and make business decisions for improving a product
  • Achieved a weighted average effectiveness rating of 4.4 out of 5 from students
12/15 - 09/16

Live Operations Manager - Machine Zone

  • Drove monetization strategy for the world’s largest and most successful MMO mobile games
  • Built a prototype machine learning system to manage and optimize in-app purchases using the multi-arm bandit approach
  • Built a simulation model to identify pain points in new user conversion and retention; output of model led to actions that reversed a declining trend in new user conversion rates
04/16 - 08/16

Fellow - Fellowship.AI

  • 4-month fellowship conducting research and working with startups to embed artificial intelligence into their products
  • Youngest fellow in the program’s history
  • Projects included building an end-to-end recurrent neural network for trading commodities futures contracts
1/15 - 12/15

Investment Banking Analyst - SunTrust Robinson Humphrey

  • Supported senior bankers in the execution of public and private capital raises, mergers and acquisitions transactions and strategic advisory assignments with a focus on technology companies
  • Built numerous financial models including merger models, cash flow models, LBOs and accretion/dilution models
Spring '14

Economic Research Intern - Federal Reserve Bank of Atlanta

  • Extracted common themes from interviews with regional business leaders to build a grassroots view of the economy
  • Published a post about innovation and business activity in Atlanta on the bank’s SouthPoint blog
Summer '13

Research Intern - CBRE Hotels

  • Increased the accuracy of the firm’s forecasting models 2-3 percentage points by integrating special event data into the model
  • Built a client-facing cluster analysis tool that groups comparable hotels based on location, amenities and price
Spring '13

Research Assistant - Georgia Tech School of Economics

  • Programmed STATA to compile, condense, clean and link large data sets from the Environmental Protection Agency (EPA)
  • Drafted literature reviews of current literature on pollution cap-and-trade programs and optimal abatement policies

Contact Me

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Trevor Lindsay