Parv Thakkar

Data Engineer at Point Focal
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Contact Information
us****@****om
(386) 825-5501
Location
Boston, Massachusetts, United States, US
Languages
  • Hindi Professional working proficiency
  • English Limited working proficiency
  • Gujarati Limited working proficiency

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Credentials

  • IBM Data Science
    IBM
    Jun, 2020
    - Nov, 2024
  • Deep Learning Specialization
    deeplearning.ai
    May, 2020
    - Nov, 2024
  • Machine Learning A-Z: Hands on Python & R in Data Science
    Udemy
    Apr, 2020
    - Nov, 2024
  • Machine Learning
    Stanford University
    Feb, 2020
    - Nov, 2024
  • Python for Everybody Specialization
    University of Michigan
    Nov, 2019
    - Nov, 2024
  • Learn Ethical Hacking From Scratch
    Udemy
    Oct, 2019
    - Nov, 2024
  • Let's Hack - CS/ICT Hackathon
    PDPU- Innovation and Incubation Centre
    Sep, 2019
    - Nov, 2024

Experience

  • Point Focal
    • United States
    • Financial Services
    • 1 - 100 Employee
    • Data Engineer
      • Jan 2023 - Present

      - Developed robust data pipeline to extract data from CSVs, OpenFIGI API leveraging Python, AWS Lambdas, CloudFormation, S3, and Step Functions to collect up to 10GB data quarterly to analyze and load 13-F data to our datasets. - Designed scalable data connectors to bring data for analysis in Spotfire having load time under 1 minute using SQL. - Created dynamic narratives to show analysis from various datasets, including estimize and finra with up-time above 99% while ingesting data from 2 data sources. - Maintained issues and pull requests using Git to manage a proper coding workflow and led the on-boarding of 2 interns. - Collaborated on building API Gateway endpoints with multiple resources and AWS Cognito Authorizer with less than 1% downtime with the help of DynamoDB, and SQLAlchemy. Show less

  • Northeastern University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Sep 2022 - Dec 2022

      - Guided 450+ students in Python Programming and Pandas, resulting in a 35% increase in performance and improved practical knowledge of programming. - Conducted 6+ hours of weekly office hours & lab sessions, assisting students with challenging concepts & assignments. - Mentored 4 teams, consisting of 20+ students, guiding them in data science projects, resulting in a 90% completion rate. - Guided 450+ students in Python Programming and Pandas, resulting in a 35% increase in performance and improved practical knowledge of programming. - Conducted 6+ hours of weekly office hours & lab sessions, assisting students with challenging concepts & assignments. - Mentored 4 teams, consisting of 20+ students, guiding them in data science projects, resulting in a 90% completion rate.

  • TomTom
    • Netherlands
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Machine Learning Engineer
      • Jan 2021 - Jun 2021

      - Constructed multiple deep learning models having an error rate of 20% by utilizing models like Mask R-CNN, and YOLO. - Predicted text from images with an accuracy of 90% by making a machine-learning model using the Azure OCR module. - Created a website to showcase the project to stakeholders using the Streamlit library in Python. - Documented using confluence streamlining communication and knowledge sharing within cross-functional teams. - Developed an algorithm to identify colors from probe sensors with an accuracy of 95% by using OpenCV, GDAL, and Rasterio. Show less

  • TCS iON
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Artificial Intelligence Intern
      • Jul 2020 - Aug 2020

      - Recognized text from handwritten images with an accuracy of 80% by creating a convolutional neural network model. - Preprocessed Images to improve accuracy by 3% by combining multiple methods in the OpenCV library. - Hypertuned the model enhancing accuracy by 5% by designing a new function to run multiple instances of the model. - Recognized text from handwritten images with an accuracy of 80% by creating a convolutional neural network model. - Preprocessed Images to improve accuracy by 3% by combining multiple methods in the OpenCV library. - Hypertuned the model enhancing accuracy by 5% by designing a new function to run multiple instances of the model.

  • Career Launcher
    • India
    • Education Administration Programs
    • 700 & Above Employee
    • Machine Learning Intern
      • May 2020 - Jul 2020

      -Online Internship provided by Career Launcher Platform and endorsed by AICTE. -Conducted data regression analysis of the relation between company stock prices and industry trends and performed classification. -Analyzed and summarized stock data for various different companies. -Online Internship provided by Career Launcher Platform and endorsed by AICTE. -Conducted data regression analysis of the relation between company stock prices and industry trends and performed classification. -Analyzed and summarized stock data for various different companies.

Education

  • Khoury College of Computer Sciences
    Master of Science - MS, Data Science
    2021 - 2023
  • Pandit Deendayal Energy University
    Bachelor of Technology - BTech, Information and Communication Technology
    2017 - 2021

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