Work Experience

Technical Support Specialist August 2022 - Present
Cognizant, Remote
  • Engaged in technical support operations at Quest Diagnostics, ensuring regulatory compliance and smooth operations for critical healthcare systems.
  • Utilized ServiceNow to promptly resolve incident tickets, meeting service level agreements with Cognizant and maintaining high standards of service delivery.
  • Developed and implemented a program using Selenium and C# to automate labor-intensive manual processes, resulting in significant time savings and operational efficiency improvements at Quest Diagnostics.
  • Conducted interviews and successfully onboarded over a dozen new members to the Life Sciences team, ensuring they were well-integrated into the company culture and fully equipped with the knowledge and resources needed to excel in their roles.
  • Applied advanced data analysis techniques within Laboratory Information Management Systems (LIMS), leveraging Java and SQL to deliver tailored technical solutions to healthcare sector clients.
Sales Support Specialist May 2019 - August 2019
Citrix Systems Inc., Ft. Lauderdale, FL
  • Helped deploy Desktop as a Service applications on the Microsoft Azure cloud.
  • Collaborated in facilitating pipeline development in the virtualization industry.
  • Spoke to clients and worked very closely with customer service to ensure customer satisfaction.

Research

Research Assistant June 2021 - May 2022
Brett Baker Lab, Austin, TX
  • Developed a package and an application in R to interpret DNA and protein sequences and visualize relationships between organisms.
Research Assistant January 2021 - May 2022
Justin Havird Lab, Austin, TX
  • 2021 Undergraduate Research Fellowship Awardee.
  • Collected mussels in the field, sampled them, and conducted phylogenetic analyses.
  • Focused on conserving endangered freshwater mussels and aiding conservation practices for the species: Strophitus Undulatus.

Projects

Cloud Resume Challenge
  • I created bryanvernon.com to host my resume using the AWS Cloud.
  • Some of the AWS Services I leveraged were:
    • S3
    • CloudFront
    • Lambda
    • DynamoDB
    • API Gateway
    • Route 53
    • CodeCommit
    • CodeDeploy
March Machine Learning Mania 2023
  • This was a data competition hosted by kaggle.com where I finished in the top 25% of contestants.
  • Used machine learning models to predict the probability of winning matchups in the 2023 NCAA March Madness Tournament.
  • Submitted one entry using R code and one using Python code in order to practice my skills in both.


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