Arun Yuvaraj
Looking for Computer Vision Opportunties
4 yrs 9 mos
Computer Vision Engineer Intern
Cheqout Technologies
Immediate
Rennes School of Business
Summary
In my current project, I worked on -
Pose estimation - To detect the hands of customers walking in Retail store.
Object Detection - Created Object Detection model(detectron2) from scratch for custom objects.
Activity Recognition - Worked a bit on activity Recognition
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Skills
3 - 5 yrs
Convolutional Neural Network (CNN)
1 - 3 yrs
Logistic Regression
Python
PyTorch
Random Forest
TensorFlow
Career Journey (4 yrs 9 mos)
Drowsiness Detection
Jun 2020 - Jun 2020
•1 mo
Description: 
Used Open CV to build a basic model which can detect eyes of the driver and alert him if sleeps off while driving
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Object Detection
May 2020 - May 2020
•1 mo
Description: 
Created Object detection and segmentation model using Mask RCNN
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Motion Detection
Jan 2020 - Jan 2020
•1 mo
Description: 
Worked on Foreground detection and detecting motion in videos using OpenCV
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Computer Vision Engineer Intern
Cheqout Technologies
Dec 2019 - Present
•1 yr 2 mos
Skills
Convolutional Neural Network (CNN)
PyTorch
TensorFlow
Company Location
London, London, City of, United Kingdom
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Rennes School of Business
MS in Data and Business Analyrics
Sep 2019 - Aug 2020
•11 mos

Specialization
Degree: MS in Data and Business Analyrics
Category: Computer Science
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Sentiment Analysis of Avengers Movie
Mar 2019 - Mar 2019
•1 mo
Description: 
Scrapped reviews from IMDB to perform sentiment analysis and check if a given review is good or bad
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Data Scientist
Ernst and Young
May 2018 - Sep 2019
•1 yr 4 mos
Description: 
1. Implemented a Face Recognition system from scratch using OpenCV, MTCNN and FaceNet.
2. Used ARIMA to develop a time series model to analyze the attrition rate over a period of 1 year time span.
3. Performed EDA and data transformations in order to better predict the chances of winning a project.
4. Analyzed given text and built a Random Forest Classifier to predict if there will be any conflict between existing and new project
Skills
Python
Convolutional Neural Network (CNN)
Random Forest
Logistic Regression
Company Location
Bengaluru, Karnātaka, India
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Data Analyst
Accenture Sol
Nov 2014 - Apr 2018
•3 yrs 5 mos
Description: 
1. Developed a XGBoost classifier to detect the defaulters in different telecommunication industry.
2. Built ARIMA model to forecast the churn rate for a span of 6 months.
Company Location
Bengaluru, Karnātaka, India
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Shri Shankaracharya College of Engineering
Computer Science
Aug 2010 - May 2014
•3 yrs 9 mos

Specialization
Degree: Computer Science
Category: Computer Science
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Languages (2)
English•French
Personality
Nothing specified