Jeremy DiBattista

Machine Learning Engineer at Spiny.ai
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us****@****om
(386) 825-5501
Location
Atlanta Metropolitan Area
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Jay Duff

After an internship with Chick-fil-A, Jeremy returned as an innovator at the new Chick-fil-A Innovation Center at Tech Square. He was part of a team working on machine learning algorithms to better understand our customers so that we might serve them better. Jeremy proved to be a quick learner with AWS, Spark and machine learning technologies. His problem solving skills and critical thinking stood apart. He was in important part of a successful project.

Maryann Prestia

Bright, talented, self motivated leader who continually strives to master any task in front of him.

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Credentials

  • Splunk Certified Power User
    Splunk
    Jun, 2018
    - Sep, 2024
  • Autodesk Revit User Certification
    Autodesk
    May, 2015
    - Sep, 2024
  • Amazon Web Services Solutions Architect Associate
    Amazon Web Services (AWS)
    Aug, 2019
    - Sep, 2024

Experience

  • Spiny.ai
    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Nov 2020 - Present

      Transforming the online publishing industry through advanced analytics! Transforming the online publishing industry through advanced analytics!

  • Georgia Institute of Technology
    • United States
    • Higher Education
    • 700 & Above Employee
    • Head Teaching Assistant - Computer Networking I
      • May 2020 - Dec 2020

      I Work closely with the course professor to create a curriculum of assignments while assisting students in ensuring they develop content mastery! I Work closely with the course professor to create a curriculum of assignments while assisting students in ensuring they develop content mastery!

  • Healthbridge
    • South Africa
    • Information Technology & Services
    • 100 - 200 Employee
    • Cloud Python Machine Learning Engineer
      • Aug 2019 - Jan 2020

      I worked in Google Cloud Platform (GCP) to build data pipelines and deep learning algorithms to transform heathcare in the cloud, developing predictive analytics for healthcare client applications. Improved existing deep learning applications by as much as 36% by inventing a new approach of applying deep neural networks to prescription predictions I worked in Google Cloud Platform (GCP) to build data pipelines and deep learning algorithms to transform heathcare in the cloud, developing predictive analytics for healthcare client applications. Improved existing deep learning applications by as much as 36% by inventing a new approach of applying deep neural networks to prescription predictions

  • Capital One
    • Egypt
    • Leasing Non-residential Real Estate
    • Data Engineer Intern
      • Jun 2019 - Aug 2019

      I worked at modernizing and consolidating the external payments team's data visualization pipeline. Instead of requiring multiple tools, listeners, and manual checkers, I developed a method of listening to each step in the payments process, providing real-time visualizations and alerts to progress. I worked at modernizing and consolidating the external payments team's data visualization pipeline. Instead of requiring multiple tools, listeners, and manual checkers, I developed a method of listening to each step in the payments process, providing real-time visualizations and alerts to progress.

  • Chick-fil-A Corporate
    • United States
    • Restaurants
    • 700 & Above Employee
    • Innovator
      • Jan 2019 - May 2019

      Responsible for implementing automating and visualizing natural language processing of the operator help desk. Technologies utilized include Latent Dirichlet Allocation for analysis and AWS Lambda and Step Functions for automation. Responsible for implementing automating and visualizing natural language processing of the operator help desk. Technologies utilized include Latent Dirichlet Allocation for analysis and AWS Lambda and Step Functions for automation.

    • Data Visualization Lab Assistant
      • Jan 2018 - Dec 2018

      Created lesson plans and workshops for teaching popular data visualization tools to students. Responsible for consulting, teaching, and assisting in visualizing Georgia Tech and graduate student data. Required advanced knowledge base of data analytics and data visualization tools Created lesson plans and workshops for teaching popular data visualization tools to students. Responsible for consulting, teaching, and assisting in visualizing Georgia Tech and graduate student data. Required advanced knowledge base of data analytics and data visualization tools

  • Citi
    • Mexico
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Architecture and Technology Engineer Summer Analyst
      • Jun 2018 - Aug 2018

      • Leveraged Splunk as well as machine learning tool kits such as Scikitlearn to create real time machine learning models and visualizations capable of detecting anomalies, malware, and risks in internal network usage • Created an internal Alexa application capable of examining and relaying best and worst internal client portfolio information • Leveraged Splunk as well as machine learning tool kits such as Scikitlearn to create real time machine learning models and visualizations capable of detecting anomalies, malware, and risks in internal network usage • Created an internal Alexa application capable of examining and relaying best and worst internal client portfolio information

    • Innovator
      • Sep 2017 - Dec 2017

      Created a customer segment identification engine that utilizes PySpark in a Hadoop Environment and customer data to tailor marketing strategies Groomed a dataset of 1 million people using the Chick-fil-A One app, and clustered them based on ordering behavioral patterns Learned how to create an EMR environment and issue bash scripts in order to install libraries on startup Untilized technologies such as EMR, Spark, Hadoop, Zeppelin, S3, Plotly, SparkML, SQL, Pandas, Numpy Used map reduction formulas (K-Clustering) to process large amounts of data, relate customer segments, and deliver results to IT management Our project prompted the increase in funding to purchasing and using customer data for enterprise solutions Used Principal Component Analysis on 70+ columns to visualize segments in a 3D space using Plotly Show less

    • Software Engineer Intern
      • Dec 2016 - May 2017

      Specialized in conversational commerce, AI, and machine learning. Projects included writing scripts for Conversational order taker AI bots using Python and natural language toolkits, creating a gamified machine learning AI in order to better format and understand customer orders, and creating a speech detection bot that can assist, display, respond and access in store operations. Technologies used for these projects included: Python, HTML, CSS, Bootstrap, Javascript, JQuery, NodeJS, Express, Docker, Flask, DynamoDB, Lex, Polly, Lambda, Elastic Beanstalk and EC2. Show less

    • Biographical Information Student Assistant
      • May 2016 - Sep 2016

      Working with large databases and social networks in order to achieve accurate biographical data of Georgia Tech alumni. Working with large databases and social networks in order to achieve accurate biographical data of Georgia Tech alumni.

Education

  • Georgia Institute of Technology
    Master's degree, Computer Science (Machine Learning)
  • Georgia Institute of Technology
    Bachelor of Science (BS), Computer Science
  • Denning Technology & Management Program
    Minor in Computing & Business

Community

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