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Meet Bardoliya

Meet Bardoliya

Data Scientist

Talent
Kitchener, WaterlooMember since January 22, 2023
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About

Hi, My name is Meet Bardoliya. I'm currently enrolled in a postgraduate programme with a focus on big data solution architecture, and I'm searching for an internship in the fields of data science, machine learning, or deep learning. I have worked as a data science intern before, therefore I am familiar with the process of making decisions based on data.

Additionally, be familiar with how to create ML and DL models that can be applied to predictive analysis. So, given my history, are there any available positions right now?

Experience

ArcelorMittal Nippon Steel, India - Data Science Intern

  • Worked on the project “Surface Quality Detection” to capture real time images of the manufactured steel and had to draw insights about the various quality standards of the steel.
  • Moreover, Worked on Computer Vision using OpenCV as well as have used Keras library to design various deep learning models.
  • At the end results of the model have been sent to Tableau Dashboards for the visualization and better readability of the result.
Pratsware Technologies Private Limited, India - Data Science Intern
  • Responsible for drawing insights from client’s database.
  • Worked on data pre-processing tasks such as data cleaning, performed exploratory data analysis and predictive analysis. Used Scikit-Learn and TensorFlow libraries to design various Machine Learning models as per the requirements.
  • Explored data visualization libraries such as Matplotlib and Seaborn.

Education

Conestoga College, Canada

Post Graduate Diploma – Big Data Solution Architecture

Related Coursework: Relational Database Design, NoSQL Database Implementation, Programming for Big Data, Big Data Integration & Storage, Web Analytics & Business Intelligence

Gujarat Technological University, India

Bachelor of Engineering – Information Technology

Related Coursework: Data Structures & Algorithms, Object Oriented Programming, Probability and Statistics, Artificial Intelligence, Pattern Recognition

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