Mark Jarrell

Senior Machine Learning Engineer at Credit Sesame
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area
Languages
  • English -

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5.0

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Timothy Southworth

Don't let Mark's soft spoken demeanor deter you. Over the past two years he has played a pivotal role in the design, development, implementation, and support of our data warehousing initiatives. I feel very confident in his ability as an engineer and never hesitate when delegating work in that I can always count on Mark to take full ownership and get the job done right the first time. He is continuously looking for ways to improve things and spends a great deal of his free time learning and tinkering with the latest technologies. Mark's fearless attitude paired with his eagerness to learn will allow him to excel in any environment

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Credentials

  • Initiating and Planning Projects via Coursera
    UC Irvine
    Apr, 2019
    - Nov, 2024
  • Introduction to Financial Accounting via Coursera
    University of Pennsylvania - Coursera
    Feb, 2016
    - Nov, 2024
  • Scalable Machine Learning via edX
    University of California, Berkeley
    Aug, 2015
    - Nov, 2024
  • Introduction to Big Data with Apache Spark via edX
    University of California, Berkeley
    Jul, 2015
    - Nov, 2024

Experience

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Oct 2017 - Present

      Productionalize machine learning models as realtime APIs and in batch modes. Designed docker based system to handle any library in use by data scientists. Allowed third-parties to upload their machine learning models into our system. Provided best practices and testing framework to make sure machine learning models were fast enough to be used during login. Train/improve machine learning models. Work with business teammates to maintain machine learning models and test new ones. Productionalize machine learning models as realtime APIs and in batch modes. Designed docker based system to handle any library in use by data scientists. Allowed third-parties to upload their machine learning models into our system. Provided best practices and testing framework to make sure machine learning models were fast enough to be used during login. Train/improve machine learning models. Work with business teammates to maintain machine learning models and test new ones.

    • United States
    • Retail
    • 700 & Above Employee
    • Data Engineer
      • Jul 2014 - Sep 2017

      Summary: Data Warehousing, ETLing, Machine Learning, Dashboarding, and Reporting Create a data warehouse in Redshift to simplify access to backend info by ETLing data from different data sources. The data warehouse simplifies report development. It also powers a self service analytics tool and a machine learning model used to streamline a production operation. The dashboards and Crystal Reports allowed operations employees and managers to understand performance and operational metrics. Communicate with end users to identify their needs. Technologies used: Databases: Redshift, Oracle, MySQL Languages: Python, Ruby, HTML, Javascript Libraries: Airflow, Crystal Reports, Sinatra/Flask, Rails, C3.js (Javascript Charts) Tools/Platforms: SAP Crystal Reports, AWS Show less

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Systems Engineer
      • Jun 2012 - Jul 2014

      Implemented batch migrations of users from one system to another. Required communication skills to gather technical requirements. Enhanced and supported a web customer portal for enterprise users. Support required the ability to read unfamiliar code and coordinate with the help desk and business analyst teams. Enhanced and maintained daily data feeds which pulled information from the database into for consumption by other systems. Trained new employees to get them up to speed quickly. Technologies Used: Java EE, Struts MVC, SOAP Web Services, PL/SQL Show less

  • Multiforce Systems
    • Princeton, New Jersey
    • Software Developer
      • May 2011 - Aug 2011

      Ported an embedded fuel controller from DOS to FreeBSD. This required custom driver development in C which included kernel threads. Interfaced the embedded fuel controller to a Django web portal. Excelled at picking up new skills and creating valuable proof of concepts. Ported an embedded fuel controller from DOS to FreeBSD. This required custom driver development in C which included kernel threads. Interfaced the embedded fuel controller to a Django web portal. Excelled at picking up new skills and creating valuable proof of concepts.

Education

  • Georgia Institute of Technology
    Master of Science - MS, Analytics
    2020 - 2023
  • Rutgers University
    Bachelor of Science - BS, Computer Science
    2008 - 2012

Community

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