Manasa T.

Manasa T.

Student Research/Intern

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  • Timeline

  • About me

    Versatile Data Science Graduate Eager to Excel in Data Engineering | Coding, DevOps, and Analysis Enthusiast

  • Education

    • Purdue University

      2020 - 2024
      Bachelor's degree Data Science
  • Experience

    • Max Planck Florida Institute for Neuroscience

      Aug 2019 - May 2020
      Student Research/Intern

      •Compiled and presented previous research concerning image processing and convolutional neural networks in neuroscience.• Implemented solutions for the Neurofinder project, focusing on extracting signals from calcium imaging.• Collaborated with researchers to enhance signal extraction techniques in neuroscience applications.

    • Sandia National Laboratories

      Aug 2020 - May 2021
      Student Intern

      • Implemented clustering and feature reduction techniques on flight trajectory data for optimization.• Developed and tested algorithms with a focus on minimizing accuracy loss while performing feature reduction.• Collaborated with a team of interns to improve efficiency in large-scale data exploration.

    • Purdue University

      Nov 2021 - Mar 2022
      Technology Coordinator

      • Maintained ITaP labs and provided technical support to students and professors• Optimized resource allocation through inventory tracking using shared spreadsheets

    • TechPoint

      Jun 2022 - Jul 2022
      Business Analyst Intern

      • Led a team to conduct in-depth research on lithium-ion batteries to identify opportunities for product improvement.• Directed the formulation of short- and long-term business plans, enhancing project direction and strategy.

    • Eli Lilly and Company

      May 2023 - Aug 2023
      Tech@Lilly Intern

      • Designed and deployed a CI/CD pipeline using GitHub Actions and AWS CloudFormation to automate testing workflows for Automation Anywhere.• Automated the creation of AWS S3 buckets and IAM roles using the Python Boto3 library to streamline resource provisioning.• Automated the deployment process for sandbox environments used for testing, reducing the time for building new stacks by 80% and cutting application upgrade cycles by 50%, enabling faster development cycles.• Streamlined a multi-step manual deployment process into a single-click automated solution, improving efficiency and reducing human error.• Presented my work to a crowd of 50, including team leaders and key stakeholders, during a research poster session and final presentation.• Collaborated with a 10-person team using Jira and Confluence for agile project management and version control. Show less

  • Licenses & Certifications

    • AWS Certified Cloud Practitioner

      AWS Training and Certifications
      Feb 2025
      View certificate certificate
    • Academy Accreditation - Databricks Fundamentals

      Databricks
      Feb 2025
      View certificate certificate