Christian Siegfried

Senior Associate at Veranex
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Bio

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Credentials

  • Java Tutorial Course
    SoloLearn
    Jun, 2019
    - Nov, 2024
  • SQL Fundamentals Course
    SoloLearn
    May, 2019
    - Nov, 2024
  • Core Designer
    Dataiku
    Sep, 2020
    - Nov, 2024

Experience

    • United States
    • Medical Equipment Manufacturing
    • 300 - 400 Employee
    • Senior Associate
      • Sep 2022 - Present

    • United States
    • Software Development
    • 700 & Above Employee
    • Associate
      • Apr 2022 - Sep 2022

    • Analyst
      • Aug 2020 - Sep 2022

      In this role, I was responsible for the creation of budget impact models, cost-effectiveness analyses, and machine learning models that utilize the latest real-world data. I sourced the inputs to these models were supplemented these models via extensive literature review and worked alongside clinical experts to determine treatment patterns and patient behavior. These models help our clients lead important discussions with payers regarding their products.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Student Athlete Tutor
      • Jan 2020 - May 2020

      I tutored several student athletes in mathematics, statistics, and economics. I tutored several student athletes in mathematics, statistics, and economics.

  • Temple AMSTAT
    • Greater Philadelphia Area
    • Vice President
      • May 2019 - Apr 2020

  • CMI Media
    • Philadelphia, Pennsylvania
    • Intern, Data Analytics
      • May 2019 - Aug 2019

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Student Researcher
      • May 2018 - May 2019

      My research involves analyzing high-throughput metabolomic data using nonnegative matrix factorization. I will be assisting in testing new nmf algorithms using multiple real datasets and providing helpful conclusions about both the datasets themselves and the accuracy and efficiency of the algorithms. My research involves analyzing high-throughput metabolomic data using nonnegative matrix factorization. I will be assisting in testing new nmf algorithms using multiple real datasets and providing helpful conclusions about both the datasets themselves and the accuracy and efficiency of the algorithms.

  • TU AMSTAT
    • Temple University
    • Treasurer
      • Jan 2018 - May 2019

    • United States
    • Insurance
    • 1 - 100 Employee
    • Director of Finance
      • Jun 2017 - Dec 2017

    • United States
    • Manufacturing
    • 700 & Above Employee
    • Material Handler
      • May 2017 - Aug 2017

      In this role, I was expected to deliver the correct materials to the correct individuals on an assembly line when they required more materials. However, I made it a point to always ensure none of my coworkers had to request additional materials because I would always provide more before they ran out, increasing the efficiency of the daily processes at our plant. I really enjoyed this position and it reinforced valuable skills such as time management and critical thinking. Additionally, it also increased my ability to learn and apply information more quickly, as there was a new product and process nearly every day.

Education

  • Temple University
    Bachelor of Science - BS, Statistical Science/Data Analytics
    2016 - 2020

Community

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