Rahul Shah

Data Scientist at Genious Infotech Inc
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
London, Ontario, Canada, CA

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2022 - Present

      Responsibilities: ● Responsible for improving model accuracy of existing Potato grading classification ● Created a model that detects and classifies the potato in different categories such as good potato, average potato, bad potato. ● Develop action plans to mitigate risks in decision-making while increasing profitability by leveraging data science. ● Build predictive models using various machine learning tools to predict the possibility of equipment failure. ● Annotated images with respective classes.. ● Use the yolov3 model and through the transfer learning train the model with 90℅ accuracy. Environments: Yolo model, python, opencv, GIT, SQL, AWS Show less

  • GVT Software Solutions
    • Ahmedabad, Gujarat, India
    • Junior Data Scientist
      • Apr 2018 - May 2021

      Responsibilities: ● Performed Data Cleaning, features scaling, features engineering using pandas and numpy packages in python. ● Responsible for improving model accuracy of existing Potato grading classification ● The telecom company created the anomaly detection model to find any fraud activities. ● Used SAS for pre-processing data, SQL queries, data analysis, generating reports, graphics, and statistical analyses. Environments: RFC model , python, GIT, MongoDB Responsibilities: ● Performed Data Cleaning, features scaling, features engineering using pandas and numpy packages in python. ● Responsible for improving model accuracy of existing Potato grading classification ● The telecom company created the anomaly detection model to find any fraud activities. ● Used SAS for pre-processing data, SQL queries, data analysis, generating reports, graphics, and statistical analyses. Environments: RFC model , python, GIT, MongoDB

Education

  • Fanshawe College
    Postgraduate Degree, Business and Information Architecture System
    2021 - 2022
  • Government Engineering college
    Bachelor of Engineering - BE, Computer Engineering
    2016 - 2020

Community

You need to have a working account to view this content. Click here to join now