Aaron Aguiar
Data Scientist at ChromaCode, Inc.- Claim this Profile
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Experience
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ChromaCode, Inc.
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United States
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Biotechnology Research
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1 - 100 Employee
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Data Scientist
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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
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Bioinformatics Scientist
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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
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Illumina
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Italy
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IT Services and IT Consulting
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1 - 100 Employee
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Process Development Engineer
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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
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Process Development Engineering Intern
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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
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Education
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San Diego State University-California State University
Bachelor’s Degree, Mechanical Engineering