Jonah Aguilar

Fundraising Data Analyst at UJA-Federation of New York
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Contact Information
us****@****om
(386) 825-5501
Location
New York City Metropolitan Area
Languages
  • English Native or bilingual proficiency
  • Spanish Native or bilingual proficiency
  • Hebrew Limited working proficiency
  • Arabic Elementary proficiency

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Bio

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Experience

    • United States
    • Fundraising
    • 300 - 400 Employee
    • Fundraising Data Analyst
      • Sep 2023 - Present

    • Software Development
    • 1 - 100 Employee
    • Chief Operating Officer
      • May 2022 - Jan 2023

      • Zoso AI gives its customers actionable metrics on their sales calls. Zoso also automates other key features of their sales pipelines with Generative AI. • Led sales, marketing, product, and operations. Managed all project roadmaps, product requirement documentation, KPIs, project management strategy (Agile + Lean), and quality assurance to meet company goals • Zoso AI gives its customers actionable metrics on their sales calls. Zoso also automates other key features of their sales pipelines with Generative AI. • Led sales, marketing, product, and operations. Managed all project roadmaps, product requirement documentation, KPIs, project management strategy (Agile + Lean), and quality assurance to meet company goals

    • Software Development
    • 1 - 100 Employee
    • Associate Technical CSM
      • Feb 2022 - May 2022

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Middleware Technical Lead
      • May 2021 - Feb 2022

      •Reduced API downtime by creating accurate data alerts and dashboards through Splunk scripting and eliminated business hours spent identifying faulty API’s. Decreasing downtime freed up company resources and personnel for business-critical tasks • Started a machine learning initiative to predict API failure based on payload using Keras and Tensorflow. Preventing system failures before they happen saves time, money, and resources • Represented APIGEE product in correspondence with all… Show more •Reduced API downtime by creating accurate data alerts and dashboards through Splunk scripting and eliminated business hours spent identifying faulty API’s. Decreasing downtime freed up company resources and personnel for business-critical tasks • Started a machine learning initiative to predict API failure based on payload using Keras and Tensorflow. Preventing system failures before they happen saves time, money, and resources • Represented APIGEE product in correspondence with all senior stakeholders across Verizon involved in the ERP project Show less •Reduced API downtime by creating accurate data alerts and dashboards through Splunk scripting and eliminated business hours spent identifying faulty API’s. Decreasing downtime freed up company resources and personnel for business-critical tasks • Started a machine learning initiative to predict API failure based on payload using Keras and Tensorflow. Preventing system failures before they happen saves time, money, and resources • Represented APIGEE product in correspondence with all… Show more •Reduced API downtime by creating accurate data alerts and dashboards through Splunk scripting and eliminated business hours spent identifying faulty API’s. Decreasing downtime freed up company resources and personnel for business-critical tasks • Started a machine learning initiative to predict API failure based on payload using Keras and Tensorflow. Preventing system failures before they happen saves time, money, and resources • Represented APIGEE product in correspondence with all senior stakeholders across Verizon involved in the ERP project Show less

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • System Engineering Intern
      • May 2020 - Aug 2020

      • Collaborated with interns and stakeholders to design a vital supply chain API compatible with the new APIGEE Middleware • The team built the API with Java Spring Boot Microservices, APIGEE Proxy Manager, and monitored API performance with scripting and dashboards. Monitoring API health was critical to maintaining a healthy system • Collaborated with interns and stakeholders to design a vital supply chain API compatible with the new APIGEE Middleware • The team built the API with Java Spring Boot Microservices, APIGEE Proxy Manager, and monitored API performance with scripting and dashboards. Monitoring API health was critical to maintaining a healthy system

    • Intern
      • May 2019 - Aug 2019

      Performed legal research in connection with a multi-disciplinary data analytic and modeling project. Performed legal research in connection with a multi-disciplinary data analytic and modeling project.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teacher Assistant
      • Jan 2019 - May 2019

      TA: Internet and Information Environment(04:547:111:01) I worked in support of the professor; attended class, took attendance, set up equipment and materials in the classroom, held regular office hours, offered review sessions periodically through the semester, updated online course materials, prepared materials for distribution to the class, and graded papers and exams. TA: Internet and Information Environment(04:547:111:01) I worked in support of the professor; attended class, took attendance, set up equipment and materials in the classroom, held regular office hours, offered review sessions periodically through the semester, updated online course materials, prepared materials for distribution to the class, and graded papers and exams.

  • KBA Lease Services/Visual Lease LLC
    • 100 Woodbridge Center Drive
    • Full Stack Software Engineering Intern
      • 2014 - Aug 2018

      Completed tasks and various projects assigned involving Full Stack development of product. Created full stack Angular(front end) web auto-provisioning tool to implement Python and Powershell scripts using .NET/ Entity Framework and SQL Server database back-end for incoming new users on the application. The scripts created new databases with required company requisites and a hand tailored website on the Visual Lease Application. Completed tasks and various projects assigned involving Full Stack development of product. Created full stack Angular(front end) web auto-provisioning tool to implement Python and Powershell scripts using .NET/ Entity Framework and SQL Server database back-end for incoming new users on the application. The scripts created new databases with required company requisites and a hand tailored website on the Visual Lease Application.

Education

  • Rutgers University
    Master of Library & Information Science - MLIS, Data Science
    2020 - 2023
  • Rutgers University
    Bachelor of Arts - BA, Information Technology & Informatics
    2017 - 2021
  • East Brunswick High School
    11th
    2014 - 2017

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