I am Yogeshwar Shendye

Lifelong learner, Software Developer, Machine Learning Enthusiast

Name: Yogeshwar Shendye

Profile: Machine Learning Researcher

Email: yushendye@gmail.com

Phone: +91 9975086979


Skill

Java 85%
Python 85%
C++ 85%
Machine Learning 75%
Deep learning 75%
About me

I am student of Masters in Computer Applications, University of Mumbai. I have an CGPA of 8.4 out of 10 throughout my academics. I like to participate in various events that sharpen up my skills.

I have been working on various projects along with my college curriculum. I have done various projects in android and PHP. I have also worked a project which is currently live on the hosting of my graduation college. I also enjoy participating in various hackathons. I have also made several projects in machine learning domain.Some of my machine learning projects are crop detection and cassava plant disease detection.

I have done two internships at IBM in the domains of android and machine learning, both for the durations of 2 months. Currently I am doing a research internship in the domain of machine learning at Aero2Astro.

Certifications

In this section I am mentioning all of the certificates and internships that I have recieved throughout my college days!

Object Oriented Programming in Java

Ceritificate from Coursera, University of California, San Diego

View Certificate

Tensorflow in Practice Specialization

This was the specialization course on deep learning by deeplearning.ai

View Certificate

Deep learning specialization

This was the specialization course on deep learning by deeplearning.ai

View Certificate

Python specializaion

This was the specialization course from Coursera from University of Michigan on python programming.

View Certificate

Internships

In this section I am mentioning all of the internships that I have recieved throughout my college days!

Training cum internship in Android Development, IBM

This was a work from home training cum internship at IBM. Duration of this internship was 2 months. During this internship, I was mentored by Mr. Rahul Kumar Sir, and Mr. Krishna Pal Sir. During this internship I worked on a real time project of MPLAD, which was developed for helping lay men communicate with members of parliament.

Training cum internship in Data scinece and Machine learning

This was a work from home training cum internship at IBM. Duration of this internship was 2 months. During this internship, I was mentored by Mr. Karan Mehta Sir, and Mr. Rohit Kumar Sir. During this internship I worked on a real time project of bicoin price prediction.

Research internship in machine learning (Currently working)

This was a work from home research based internship at Aero2Astro. In this internship I was mentored by Mr. Ted Soloman sir and Mr. Hemanth Dandi. In this internship, my main role was reading research papers, data collection, data processing and model creation.

13

Projects Completed

4

Internships

16

Certificates

1

Research papers

Projects

I have been working on various projects based on android development, wweb development and machine learning. I really enjoy working on machine learning projects.

Sentiment Analysis Based on IMDB Movie Reviews

Machine Learning / 18 November 2021

Human Pose Estimation

Machine Learning / 18 November 2021

Insulator Defect Detection

Machine Learning / 18 November 2021

Arial Inspection

Machine Learning / 18 October 2021

Object Detection Using Detectron 2

Machine Learning / 24 September 2021

Sound Classification

Machine Learning / 7 November 2021

Cassava Leaf Disease Detection

Machine Learning, Android / 17 July 2021

Crop Detection

Machine Learning, Android
31 March 2020
Project for identifying the crop using android and tensorflow library / 18 Sep. 2018

Bitcoin price Prediction

Machine Learning, Python / 20 July 2020

Periodic Table

Android / 18 September 2019

MPLAD

Android / 20 July 2020

FAMT Faculty Management

Web Development / 30 September 2019
This project is live, but due to privacy issues, I am showing output generated for only 1 faculty.

Gate Monitoring System

IOT, Android / 1 November 2020