Matthew Lichti

Data Scientist at Great Place To Work US
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco, California, United States, US

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Experience

    • United States
    • Business Consulting and Services
    • 200 - 300 Employee
    • Data Scientist
      • Jun 2023 - Present

      Oakland, California, United States

    • Data Scientist
      • Jan 2023 - May 2023

    • United States
    • IT Services and IT Consulting
    • Data Scientist
      • Jul 2015 - Jun 2023

      San Francisco Bay Area Build machine learning models to predict customer churn Identify high value customers and the attributes of those users Use natural language processing to cluster users based on their messaging and identify spam Build data pipelines using python, PostgreSQL, MySQL, and Amazon Web Services

    • United States
    • Non-profit Organizations
    • 1 - 100 Employee
    • Data Scientist
      • Feb 2019 - Feb 2023

    • United States
    • Business Consulting and Services
    • 200 - 300 Employee
    • Data Scientist
      • Mar 2016 - Sep 2019

    • United States
    • Professional Training and Coaching
    • Data Science Fellow
      • Jan 2015 - Jul 2015

      San Francisco Performed data analysis on real data sets using a wide variety of machine learning techniques. Conducted churn analysis for a ride sharing app and Bayesian A/B testing for website click-through-rates. Built a python model to detect fraud events in online ticketing data. Built movie recommender using item-item collaborative filtering Capstone Project: analyzed microfinance loans on kiva.org to predict which loans will get funded and identify the key features of successful loans. I used… Show more Performed data analysis on real data sets using a wide variety of machine learning techniques. Conducted churn analysis for a ride sharing app and Bayesian A/B testing for website click-through-rates. Built a python model to detect fraud events in online ticketing data. Built movie recommender using item-item collaborative filtering Capstone Project: analyzed microfinance loans on kiva.org to predict which loans will get funded and identify the key features of successful loans. I used python and postgreSQL to process the data and perform feature engineering, transformed the text with TF-IDF, modeled the data with a weighted random forest, and plotted the results. Show less

    • Volunteer, World Traveler, and Student
      • 2011 - 2014

      • Volunteered teaching English and computer skills in Asia and Latin America • Improved my technical skills through online self study including Coursera classes on machine learning, data analysis, game theory, statistics, python, finance, and neuroscience • Improved language skills, especially Spanish and Chinese, through world travel

    • United States
    • Government Administration
    • 700 & Above Employee
    • Patent Examiner - Vehicle, Navigation, and Location Data Processing Field
      • Jan 2008 - Oct 2010

      Washington D.C. Metro Area • Analyzed patent claims to determine novelty and obviousness • Queried databases of patents and other technical documents to find publications using similar data processing algorithms • Wrote detailed reports to communicate reasoning for rejecting or allowing each patent claim • Conducted interviews with patent applicants and attorneys explaining the reasons for rejection and how they can amend their patent claims to get them allowed.

    • Engineering Intern
      • May 2007 - Aug 2007

      Peoria, Illinois Area Collected and analyzed GPS data from construction equipment Tested office software for managing construction projects using survey equipment and GPS systems on construction equipment Performed functional and accuracy testing of GPS guidance systems Designed and built wiring harnesses for GPS systems on tractors

    • United States
    • Machinery Manufacturing
    • 700 & Above Employee
    • Engineering Intern
      • May 2005 - Aug 2006

      Peoria, Illinois Area • Designed and implemented hardware and software test plans on engine controllers • Wrote software specification documents for embedded software • Managed databases for purchasing, tracking, and distributing prototype hardware • Performed failure analysis on engine electronic control modules • Trained other engineering interns to take over projects

Education

  • Iowa State University
    Bachelor’s Degree, Electrical Engineering
    2003 - 2007
  • General Assembly
    Data Science
    2014 - 2014
  • University of Wales, Swansea
    International/Global Studies, Business
    2006 - 2006
  • Galvanize Data Science
    2015 - 2015

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