Aaron Aguiar

Data Scientist at ChromaCode, Inc.
  • Claim this Profile
Online Presence
Contact Information
Location
San Diego, California, United States, US

Topline Score

Bio

Generated by
Topline AI

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.
You need to have a working account to view this content. Click here to join now

Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Data Scientist
      • Mar 2022 - Present

      * Build cloud analytics pipeline in AWS (S3, Glue, Athena, Lambda, ECR) leveraging Infrastructure as Code (SAM and CloudFormation) and Docker to enable large-scale genomics data analysis to drive product decisions * Conduct ad hoc data analyses in EMR and Sagemaker on large data using tools like Athena (Presto) and Spark to characterize new product performance and sources of variability * Mentor team members on programming practices like documentation, test coverage, and git workflows

    • Bioinformatics Scientist
      • Feb 2021 - Mar 2022

      * Design qPCR primers, probes and assay layouts to improve assay performance and robustness * Conduct Python and R data analyses collaborating cross-functionally to improve product performance * Build software tools to automate inclusion workflows for scientists, resulting in significant speed and standardization improvements

    • Italy
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Process Development Engineer
      • Jul 2017 - Feb 2021

      * Work in a cross-functional team including manufacturing, development, data scientists, quality and validation * Perform ad hoc data mining and data analysis on high-volume manufacturing and customer data implementing statistical tests including normality tests, t-tests and ANOVA * Developed multiple web apps and accompanying SQL backend to increase data accessibility, process understanding, and gather SME feedback (labeling) on complex phenotypes for image classification * Run… Show more * Work in a cross-functional team including manufacturing, development, data scientists, quality and validation * Perform ad hoc data mining and data analysis on high-volume manufacturing and customer data implementing statistical tests including normality tests, t-tests and ANOVA * Developed multiple web apps and accompanying SQL backend to increase data accessibility, process understanding, and gather SME feedback (labeling) on complex phenotypes for image classification * Run experiments to determine sources of variability in the manufacturing process, and design and implement robust solutions Show less * Work in a cross-functional team including manufacturing, development, data scientists, quality and validation * Perform ad hoc data mining and data analysis on high-volume manufacturing and customer data implementing statistical tests including normality tests, t-tests and ANOVA * Developed multiple web apps and accompanying SQL backend to increase data accessibility, process understanding, and gather SME feedback (labeling) on complex phenotypes for image classification * Run… Show more * Work in a cross-functional team including manufacturing, development, data scientists, quality and validation * Perform ad hoc data mining and data analysis on high-volume manufacturing and customer data implementing statistical tests including normality tests, t-tests and ANOVA * Developed multiple web apps and accompanying SQL backend to increase data accessibility, process understanding, and gather SME feedback (labeling) on complex phenotypes for image classification * Run experiments to determine sources of variability in the manufacturing process, and design and implement robust solutions Show less

    • Process Development Engineering Intern
      • Jun 2016 - Aug 2016

      * Worked closely with a team to develop a process that will allow users in the field to monitor aspiration and dispense precision on their Hamilton liquid handling robots at a variety of volumes and positions without official re-calibration from the manufacturer. * Developed accompanying R tools to help users gather, analyze, and visualize raw data from the method * Utilized JMP statistical software to implement DOE criteria in method development to dramatically reduce method variation * Worked closely with a team to develop a process that will allow users in the field to monitor aspiration and dispense precision on their Hamilton liquid handling robots at a variety of volumes and positions without official re-calibration from the manufacturer. * Developed accompanying R tools to help users gather, analyze, and visualize raw data from the method * Utilized JMP statistical software to implement DOE criteria in method development to dramatically reduce method variation

Education

  • San Diego State University-California State University
    Bachelor’s Degree, Mechanical Engineering
    2012 - 2017

Community

You need to have a working account to view this content. Click here to join now