Daniel Collins

Implementation Developer at Aimsio
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Calgary Metropolitan Area, CA

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5.0

/5.0
/ Based on 2 ratings
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Sharyar M.

Daniel is smart and dedicated. He was a fellow team member at AltaML where he went above and beyond to refactor old code bases to make them cleaner and then built new features that improved the usability of the principal application! He know python very well and is also able to leverage his knowledge of ml and data analysis as an expert!

Bo Zhang

Daniel Collins is a talented and motivated young tech professional. During his time at AltaML, he consistently took initiative to learn new complex ML concepts in his spare time and constantly showed enthusiasm for improving the project and delivering value to the stakeholders. He was a strong team player, and a great individual contributor to our team. Daniel will have a bright future in the technology industry.

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Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Implementation Developer
      • Sep 2022 - Present

    • Canada
    • Hospitals and Health Care
    • 700 & Above Employee
    • IT Analyst I
      • Jan 2021 - Sep 2022

      Enterprise Analytics and Business Intelligence at AHS. My role is primarily ETL development, I help support an enterprise data warehouse and respond to other data reporting/automation requests. I use SQL/Python for data scripting, Excel/PowerBI for reporting, and Informatica PowerCenter to develop/monitor data workflows.

    • IT Coop Student
      • May 2020 - Dec 2020

      Enterprise Analytics and Business Intelligence

    • Canada
    • Software Development
    • 100 - 200 Employee
    • Associate Machine Learning Developer
      • Jul 2021 - Sep 2021

      Built data cleansing and visualization workflows around an anomaly detection model. Development was done with python using pandas, streamlit, sklearn, and plotly/matplotlib. Presented on a proof of concept ML-powered anomaly detection website that our team developed. Built data cleansing and visualization workflows around an anomaly detection model. Development was done with python using pandas, streamlit, sklearn, and plotly/matplotlib. Presented on a proof of concept ML-powered anomaly detection website that our team developed.

    • Canada
    • Paper and Forest Product Manufacturing
    • 700 & Above Employee
    • Information Technology Student
      • May 2019 - Dec 2019

      Worked on building ETLs and tabular models for the datawarehouse. Worked on building ETLs and tabular models for the datawarehouse.

Education

  • Mount Royal University
    Bachelor of Computer Information Systems
    2016 - 2021

Community

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