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I'm Allester. 🤝

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  • About Me

    Thank you for taking the time to visit my portfolio. As a technologist, my interests are in software development, machine learning, and computer vision.

    Presently I work as a Software Engineer at my own company: The DX Company, a web and analytics engineering studio.

    I currently attend the MCIT program at Penn Engineering with plans to graduate with a dual degree in MSE-AI in 2026.

    I look forward to connecting with you. Please reach out if you think we're a great fit as a contributor to your company or if you need help in setting up a solid foundation of web engineering for your business.

    Work

    Work-related experiences — incl. employment, self-employment, and side-projects.

    Co-founder / Software and Analytics Engineer @ The DX Company

      • Started The DX Company - a digital experience and data analytics technology lab. We provide fractional analytics engineering as well as digital experience design and development to startups and growing businesses.
    PythonLookerReactJsMongoDBSQL

    JAN 2023 - PRESENT

    Data Scientist @ Vintra, Inc. (acq. Alarm.com)

      • Built the Cloud Product User Activity Dashboard (Tableau) to display user activity on the cloud product; created an automated ETL pipeline (Google Apps Scripts) utilizing Vintra’s API to access the cloud product database (MongoDB)
      • Innovated the Density Mapping Tool to dynamically change Tableau backgrounds based on applied aggregations through the development of non-OOTB features in Tableau (Google Cloud Storage)
      • Built and designed the North Star Metric KPI’s Dashboard (Tableau) for the internal product team and an end-to-end batch processing pipeline to handle processes from file ingestion to refreshing the dashboard’s data.
      • Developed a Density Mapping Tool utilizing object detection data from Vintra’s REST API; presented as a product demo to the VP of internal security at a large social media company with our head of sales.
    TableauGoogle Apps ScriptMongoDBSQLPythonGoogle Cloud Platform

    JUN 2021 - DEC 2022

    Data Science Fellow @ CCBER

      • Built a Photogrammetry Pipeline (Metashape) for reconstructing 3D bee models to generate comprehensive bee trait and image datasets; aided in the biological study of image and anatomical trait digitization of bees (Big Bee Project)
      • Reduced Reprojection Error (pix) from 0.84 to 0.41 and processing time by 75% of pre-existing bee models through improving data collection, data augmentation, and parameter tuning on 16+ photo sets containing 145+ macro images
      • Trained an object detection model (YOLOv8) on 8000+ labeled bee image data from 3D models and iNaturalist to recognize video frames featuring bees to reduce video analysis and image extraction time from hours to minutes.
    MetashapeYOLOv8Python

    Spring 2023

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