Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
Generic

Rupendra Raavi

Ajax,Canada

Summary

Resourceful Graduate Research Assistant passionate about advancing knowledge in Machine Learning through high-quality research. Self-motivated professional with excellent communication, planning and problem solving abilities.

Overview

2
2
years of professional experience

Work History

Graduate Research Assistant

Ontario Tech University
Oshawa, ON ,Canada
09.2021 - Current
  • Conducted and published research on the Machine Learning model with respect to American Sign Language recognition
  • Conducted and published research on Head pose estimation-based Machine Learning model for CAPTCHA recognition
  • Conducted research on accessibility standards for visually impaired people with respect to all virtual meetings platform.
  • Researched information regarding Machine Learning to assist professors with academic pursuits.
  • Assisted faculty members with data collection for potential academic publications.
  • Gathered, reviewed and summarized literature from scientific journals such as Scopus and Springer and produced graphs and other presentations using PPT.
  • Contributed to professionally-written scientific paper for publication.

Teaching Assistant

Ontario Tech University
Oshawa, ON , Canada
09.2021 - 04.2022
  • Led classroom discussions and graded homework and exams for undergraduate and graduate courses in blockchain and cryptography with enrollments of up to 300 students
  • Created assignments for the students which include coding and theoretical answering
  • Meeting sessions were taken every week to clear the doubts regarding concepts and assignments.
  • Assisted teachers with classroom management and document coordination to maintain positive learning environment.
  • Participated in lesson planning and curriculum implementation to promote quicker rollout and delivery.
  • Tutored students in reading, language arts and other subjects.

Research Assistant

Zayed University
Abhudabhi, UAE
07.2021 - 08.2021
  • Conducted research on Machine Learning which detects facial emotions with the help of object detection algorithms, which resulted in an accuracy of around 85- 90 percent
  • Conducted research on the Machine Learning models, which recognize the body movements with the help of models such as Openpose, and Mediapipe, which resulted in an accuracy of around 85 percent
  • Conducted research on gesture recognition models, including Long-short-term-memory units and Convolutional neural networks, which finally turned out to be of accuracy around 83 percent.
  • Planned, modified and executed research techniques with respect to Machine Learning
  • Performed statistical, qualitative and quantitative analysis.

Data Scientist Intern

Innodatatics
Hyderabad
04.2021 - 07.2021
  • Led the development of an automated machine learning model to predict the quality of groceries with the help of an image classification model, which resulted in 95 percent of accuracy
  • Tensorflow lite model maker outpaced the image classification model where pre-trained models achieved a high accuracy of 85 percent
  • Created data mining architectures and models to identify trends in large data sets.

Software Engineer Intern

Tech-citi private limited
Bengaluru
11.2019 - 04.2020
  • Wrote clear, clean code for various projects.
  • Prepared and submitted reports and other documentation to assist development team members.
  • Worked on the vehicle loan default prediction which successfully assisted the banks in granting the loans.
  • Machine Learning model random forest used here achieved a remarkable accuracy of 92 percent.
  • Analyzed the patterns of customers' loan repayments with the help of libraries such as Seaborn and Matplotlib.

Education

Masters - Computer Science

Tech University

Bachelors - Computer Science

Veltech University

Skills

Machine Learning, Machine Learning, Ai, Nlp, Supervise Unsupervised, Tensorflow, Neural Networks, Convolutional Neural Networksundefined

Additional Information

PROJECTS :
Indian house prediction with UI interaction and Machine Learning
Used machine learning model linea regression to predict Indian house prices with UI interaction
Achieved a score of 92 percent
Front-end development is done with the help of HTML, CSS, and Javascript
Model was deployed with the help of Flask


Google price prediction using RNN
Recurrent neural networks for sequence prediction
Usage of LSTM layers and Dropout regularization
Achieved an accuracy of 90 percent
Future stocks were predicted with the help of LSTM.

Timeline

Graduate Research Assistant

Ontario Tech University
09.2021 - Current

Teaching Assistant

Ontario Tech University
09.2021 - 04.2022

Research Assistant

Zayed University
07.2021 - 08.2021

Data Scientist Intern

Innodatatics
04.2021 - 07.2021

Software Engineer Intern

Tech-citi private limited
11.2019 - 04.2020

Masters - Computer Science

Tech University

Bachelors - Computer Science

Veltech University

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Rupendra Raavi