Michael Metter

About Michael Metter

Data Scientist at Facebook working on the Community Integrity Growth Analytics team. Leveraging big data to prevent real world harm of our users across Facebook and Instagram apps through using statistical methods. Prior experience at Jeffereies was employing advanced analytical methods and machine learning models on big data to develop proprietary algorithms for the Consumer Retail sectors. Developed models to highlight target company’s KPIs through real-time manipulation utilizing programs (Spark SQL and Python) to identify near-term trends and risks that are critical to create actionable insights for the world\'s top hedge funds investment process. Pre-processed, mined and analyzed over 40 datasets as large as 30 billion rows using Pyspark and Spark SQL to identify customer trends. Skilled in generating actionable insights from data through data pre-processing, quality assurance, statistical methods, visualization of KPI, automation of processes, and forecasting. Obtained a Masters in Quantitative Finance. Modeled the market to price financial derivatives using stochastic calculus. Implemented machine learning models for algorithmic trading strategies, back-tested using boot-strap, Monte Carlo methods and validated model KPI.Skills Overview:4 years of data preprocessing, data analysis, data visualization, statistical modeling and machine learning with Python (including PySpark, pandas, numpy, matplotlib, seaborn, sci-kit learn)3 years of data preprocessing, data analysis, data visualization, statistical modeling and machine learning with R 6 years of advanced Excel experience (Pivot Tables, vlookup, external data connections)6 years of report writing3 years of SQL (presto, SQL Server, PostgreSQL, and Spark SQL)2 years of Apache Spark (PySpark, Spark SQL) experience focusing on query optimization and process automation2 year of data product management (design, deployment, and management of weekly KPI trackers)1 years of operating in a public cloud environment built on AWS compute and storage

Experience

1. Product Analyst

   Google

   Oct 2021 — Present

Education

• Linfield University

  Bachelor of Science (B.S.), Engineering Physics/Applied Physics

  2012 — 2016

• Stevens Institute of Technology

  Master of Science (M.Sc.), Quantitative Finance

  2016 — 2018

Skills

• Sql
• C++
• Teamwork
• Java
• Research
• Quantitative Analytics
• Microsoft Office
• Collaborative Problem Solving
• R
• Python
• Communication
• Interpersonal Skills
• Analytical Skills
• Customer Service
• Microsoft Word
• Mathematics
• Problem Solving
• Leadership
• Powerpoint
• Microsoft Excel
• Time Management