Brian Fernando

Experience

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  Wallingford Public Schools

  Jun 2020 - Dec 2021

  IT Support Technician

  - Installed and configured both hardware and software using imaging techniques to maintain approximately 15 computer labs within the school district- Collaborated with a team to repair and provision approximately 1000+ Chromebooks for enterprise enrollment and distribution- Provided technical support to faculty members across the school district

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  Purdue University

  Aug 2021 - May 2024

  Undergraduate Teaching Assistant

  As a Teaching Assistant at Purdue, I supported incoming Computer Science and Data Science undergraduates by helping them grasp key concepts in data science and object-oriented programming. I hosted in-person lab sessions to provide hands-on assistance with class topics and assignments, ensuring students had the guidance they needed. Additionally, I actively monitored and responded to students' questions through an online help forum, offering timely support to enhance their learning experience.

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  Sandia National Laboratories

  Aug 2021 - May 2022

  Undergraduate Data Science Researcher

  As a Data Science Researcher at Sandia National Laboratories, I contributed to Project AESOP through the Purdue Data Mine Corporate Partners Program, where I played a key role in developing a full-stack web application designed to ingest, filter, and generate analytics on experimental wargame data. Utilizing MongoDB for database management and Flask to host the web server, I applied data engineering techniques to create an analytical toolkit for processing complex datasets. Additionally, I leveraged Docker and Kubernetes to containerize the application, ensuring ease of deployment and enhanced security. I also explored various machine learning methods to investigate the impacts of information and communication on cyber deterrence effectiveness in order to design baseline analytics. This experience deepened my expertise in full-stack development, data engineering, and machine learning, equipping me with the skills to build robust, scalable data solutions. Show less

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  Collins Aerospace

  May 2022 - Aug 2022

  Software Engineer Intern

  During my Software Engineer Internship at Collins Aerospace, I focused on enhancing the MLOps pipeline within the Ascentia analytics framework. I utilized MLflow and Apache Spark to standardize the development and deployment of machine learning models, ensuring a streamlined and efficient process. This project also involved integrating machine learning capabilities to develop analytics tools that effectively monitor the health status of various aircraft components, contributing to improved reliability and safety of commercial aircrafts. Through this experience, I gained a deep understanding of MLOps practices and developed strong skills in model lifecycle management, cloud-based data solutions, and deploying scalable machine learning models in production. Show less

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  JPMorgan Chase & Co.

  Jun 2023 - Aug 2023

  AI/ML Intern

  During my AI/ML internship at JPMorgan Chase, I focused on developing interactive geospatial data visualizations using Folium and Geopandas to analyze population distributions. I also performed clustering analyses on customer data, employing algorithms like KNN, DBSCAN, and t-SNE to uncover meaningful patterns. My work culminated in a comprehensive deep dive report, which I presented to key stakeholders and top executives, providing actionable insights to drive business decisions within the Dallas-Fort Worth Metropolitan area. Through this experience, I gained valuable skills in geospatial analysis and data visualization and learned how to use Tableau effectively for business intelligence. Show less

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  The Data Mine - Purdue University

  May 2024 - Aug 2024

  Graduate Data Science Researcher

  ML Researcher for Beck's Hybrids

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  University of California, Berkeley

  Sept 2024 - now

  Graduate Student Instructor

  Course Staff for Data 144: Data Mining and Analytics