Michael Han

Senior Product Analyst at Kiddom
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US

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Experience

    • United States
    • E-Learning Providers
    • 1 - 100 Employee
    • Senior Product Analyst
      • Jul 2023 - Present

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Senior Analytics Developer
      • Jun 2021 - Jan 2023

      • Led the development of a new web-scraping tool overseeing a team of two that brought in over 25k new data sources to Dataminr’s platform. • Won the 2022 internal hackathon with a Business Intelligence dashboard that alerted on the status of Dataminr’s outgoing alerts and data source ingestion to save teams up to 3-4 days of debugging time. • Led the development of a new web-scraping tool overseeing a team of two that brought in over 25k new data sources to Dataminr’s platform. • Won the 2022 internal hackathon with a Business Intelligence dashboard that alerted on the status of Dataminr’s outgoing alerts and data source ingestion to save teams up to 3-4 days of debugging time.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Associate
      • Sep 2018 - Jun 2021

      • ETL Engineer and Looker Developer for the Data Operations group at HHS OIG • Built data platform infrastructure on AWS leveraging PostGreSQL and MemSQL databases. • ETL Engineer and Looker Developer for the Data Operations group at HHS OIG • Built data platform infrastructure on AWS leveraging PostGreSQL and MemSQL databases.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Science Instructor
      • Jul 2017 - Sep 2018

    • United States
    • Telecommunications
    • 700 & Above Employee
    • Senior Data Scientist
      • May 2017 - Aug 2018

      • Monitored FCC orders and presented information from various programmatic data sources for monthly and quarterly business reporting purposes. • Produced and presented executive level dashboards to inform USAC leadership as well as FCC of program's status and progress towards strategic goals. • Automated weekly/monthly KPIs via Python scripts • Monitored FCC orders and presented information from various programmatic data sources for monthly and quarterly business reporting purposes. • Produced and presented executive level dashboards to inform USAC leadership as well as FCC of program's status and progress towards strategic goals. • Automated weekly/monthly KPIs via Python scripts

    • Business Consulting and Services
    • 700 & Above Employee
    • Consultant
      • Feb 2015 - May 2017

      • Developed a model (in Python) to predict the processing time of a Veteran’s compensation claim utilizing Machine Learning algorithms such as Decision Trees, Logistic Regression and Naïve Bayes to develop the model. • Presented deliverables to SES VA leadership and explained applications of analytics to their business processes. • Developed a model (in Python) to predict the processing time of a Veteran’s compensation claim utilizing Machine Learning algorithms such as Decision Trees, Logistic Regression and Naïve Bayes to develop the model. • Presented deliverables to SES VA leadership and explained applications of analytics to their business processes.

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Associate Software Engineer
      • Jan 2014 - Feb 2015

    • Community Engineer
      • Jun 2013 - Aug 2013

  • Euclid Technology
    • Bethesda, MD
    • Technical Support Analyst
      • Aug 2012 - May 2013

Education

  • University of Maryland College Park
    Bachelor of Science (BS), Mathematics
    2007 - 2012
  • University of Maryland College Park
    Bachelor of Arts (BA), Economics
    2007 - 2012

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