Dibyanshu Patnaik

Data Science Intern at Allegheny County Department of Human Services
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Location
Pittsburgh, US

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Credentials

  • Udacity Deep Learning Nanodegree
    Udacity
    May, 2020
    - Sep, 2024
  • Udacity Deep Reinforcement Learning Nanodegree
    Udacity
    May, 2020
    - Sep, 2024
  • Business Analytics and Data Mining Championship 2018
    SAS
    Oct, 2018
    - Sep, 2024

Experience

    • United States
    • Government Administration
    • 200 - 300 Employee
    • Data Science Intern
      • May 2023 - Present

      Working in the Office of Analytics, Technology, and Planning - Building python packages and machine learning models to reduce the time to predict real world outcomes for vulnerable populations - achieving a 20x reduction in the data extraction and processing time of the ML pipeline. Working in the Office of Analytics, Technology, and Planning - Building python packages and machine learning models to reduce the time to predict real world outcomes for vulnerable populations - achieving a 20x reduction in the data extraction and processing time of the ML pipeline.

    • India
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Backend Developer - Consultant
      • Aug 2022 - Nov 2022

      Worked on improving the codebase for the internal CRM tool. - Optimized the database queries generated by Django ORM. Reduced the page load times by 30-70%. - Built a dashboard using React and Django to track key sales conversion metrics. Worked on improving the codebase for the internal CRM tool. - Optimized the database queries generated by Django ORM. Reduced the page load times by 30-70%. - Built a dashboard using React and Django to track key sales conversion metrics.

    • 1 - 100 Employee
    • Associate Consultant - Business Technology Solutions
      • Jun 2020 - Jul 2022

      Working on big data technologies as an Analytical Engineer and Backend Developer to solve ETL and Data Warehousing challenges in the pharmaceutical domain. - Led the development and operationalization of multiple end-to-end data transformation pipelines for downstream analytical use cases (BI dashboards and predictive modelling). - Built a Master Data Management (MDM) solution using fuzzy matching logic to reduce redundant data records by 40%. - Created automation scripts related… Show more Working on big data technologies as an Analytical Engineer and Backend Developer to solve ETL and Data Warehousing challenges in the pharmaceutical domain. - Led the development and operationalization of multiple end-to-end data transformation pipelines for downstream analytical use cases (BI dashboards and predictive modelling). - Built a Master Data Management (MDM) solution using fuzzy matching logic to reduce redundant data records by 40%. - Created automation scripts related to QC checks, data migration, and database sanitation on AWS Redshift and EMR to reduce manual efforts from 4 hours to 4 minutes. Show less Working on big data technologies as an Analytical Engineer and Backend Developer to solve ETL and Data Warehousing challenges in the pharmaceutical domain. - Led the development and operationalization of multiple end-to-end data transformation pipelines for downstream analytical use cases (BI dashboards and predictive modelling). - Built a Master Data Management (MDM) solution using fuzzy matching logic to reduce redundant data records by 40%. - Created automation scripts related… Show more Working on big data technologies as an Analytical Engineer and Backend Developer to solve ETL and Data Warehousing challenges in the pharmaceutical domain. - Led the development and operationalization of multiple end-to-end data transformation pipelines for downstream analytical use cases (BI dashboards and predictive modelling). - Built a Master Data Management (MDM) solution using fuzzy matching logic to reduce redundant data records by 40%. - Created automation scripts related to QC checks, data migration, and database sanitation on AWS Redshift and EMR to reduce manual efforts from 4 hours to 4 minutes. Show less

    • United States
    • Software Development
    • 400 - 500 Employee
    • Junior Machine Learning Engineer
      • Jul 2021 - Oct 2021

      Built a process to determine the economic activities supported by an endangered species using Machine Learning. The final product was an integrated online system that gathers information from the internet pertaining to a species in a particular location and helps query that data with a well-structured question regarding a socio-economic valuation. Built a process to determine the economic activities supported by an endangered species using Machine Learning. The final product was an integrated online system that gathers information from the internet pertaining to a species in a particular location and helps query that data with a well-structured question regarding a socio-economic valuation.

    • India
    • Software Development
    • Student Mentor
      • Aug 2019 - Jun 2020

    • Vice Chairperson
      • Jul 2018 - Aug 2019

      mpstme.acm.org

    • India
    • Education Administration Programs
    • 1 - 100 Employee
    • Head Of Tech
      • Jun 2019 - Jun 2020

    • Secretariat - USG Allotments
      • Sep 2019 - Oct 2019

      mumbaimun.com

    • Research
    • 700 & Above Employee
    • Student Project Trainee
      • May 2019 - Jun 2019

      Worked on making a radiation measuring device portable by providing an I/O interface to it using a Philips 8051 microcontroller. Worked on making a radiation measuring device portable by providing an I/O interface to it using a Philips 8051 microcontroller.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • IT Intern
      • Jun 2018 - Jul 2018
    • United States
    • Maritime Transportation
    • 700 & Above Employee
    • Mobile Application Developer
      • May 2018 - Jun 2018

      Worked on the Ionic Framework to develop Hybrid Applications for the iOS and Android platforms using Web Technologies like HTML, SCSS and Angular 5 (TS) alongwith Firebase Database. Worked and successfully completed the ABS Conference App during the Internship period Worked on the Ionic Framework to develop Hybrid Applications for the iOS and Android platforms using Web Technologies like HTML, SCSS and Angular 5 (TS) alongwith Firebase Database. Worked and successfully completed the ABS Conference App during the Internship period

    • India
    • Education Administration Programs
    • 1 - 100 Employee
    • Territory Head - Internship
      • Jun 2017 - Jul 2017

      The nature of the Internship included field work in the assigned Territory, such as contacting and meeting Principals of High School and Junior Colleges; and introducing & demonstrating the ProTeen Platform in their respective educational institutions. Secured Joint First position in the ProTeen Intern Championship The nature of the Internship included field work in the assigned Territory, such as contacting and meeting Principals of High School and Junior Colleges; and introducing & demonstrating the ProTeen Platform in their respective educational institutions. Secured Joint First position in the ProTeen Intern Championship

Education

  • Carnegie Mellon University
    Master of Information Systems Management
    2022 - 2024
  • Narsee Monjee Institute of Management Studies
    Bachelor of Technology - BTech, Computer Engineering
    2016 - 2020
  • Bombay Scottish School
    School - ICSE

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