Machine Learning, Deep Learning, Python, R, Computer Vision

Kailash S

Chennai,TamilNadu,India (C)956-***-**** *******.*****@*****.***

linkedin.com/in/kailash-somu-063207150 https://github.com/SK7here Objective

An enthusiastic fresher with highly motivated and leadership skills doing my bachelors of engineering degree in Computer science. Eager to learn new technologies and methodologies. Always willing to innovate new things which can improve the existing technology. Academics

B.E (Computer Science and Engineering) at Sri Venkateswara College of Engineering, Sriperumpudur with CGPA of 9.03

Higher Secondary (2016) from D.A.V Higher Secondary School, Chennai with 93.4% marks

Secondary schooling (2014) from Shri Vidhyaa giri matriculation higher secondary school, Sivagangai with 97.8% marks

Machine Learning Projects

Early detection of Alzheimer’s disease from Multimodal Images using Machine Learning - MRI and PET images of corresponding patients are fused together using DWT transform. A VGG16 model is built in combination with transfer learning and trained on the image samples to classify the patients.

Handwriting in the void - A multilayer perceptron model along with an opencv model is used to recognize English alphabets written in air using any object of specific colour in real time.

A comparative study of Twitter sentiment analysis - Classifying tweets as racist and non-racist using five different algorithms and performing comparative analysis.

Movie Review Sentiment Analysis - Sentiment of movie review is predicted using three different neural network models - MLP, CNN and LSTM. GloVe embedding is used for vector representation of words.

Time Series Forecasting – To forecast customer traffic of a specific form of transportation using seven different forecasting methods based on past traffic data and performing comparative analysis.

Identifying free parking lots - A VGG16 model is built for identifying free parking lots. Transfer learning is used while training the model. Other Projects:

OOPS teachbot - A chatbot built using Dialogflow and Firebase that teaches basic OOPS concepts to the users. Google Assistant, Slack and IVRS are also integrated for user friendly interface. This project has been done under the guidance of ITMR.

Patient heart monitoring system using cloud processing - Patient heart rate is measured using pulse rate sensor and the readings are fed into cloud using ThingSpeak.

Work Experience:

Have been a mentor for Google Code-in contest for TensorFlow

One month Internship at Wipro and was a part of Data Analytics and Artificial Intelligence(DAAI) Wing

Vice-President of Know-I club, an AI Research club at Sri Venkateswara college of engineering

Completed a 10 day Internship at SLN Technologies on Android App Development

Currently working as Campus Ambassador and team lead at FNPlus, a start up community of enthusiasts with the motive of bridging skillgap

Campus Editor at LinkedIn

Student partner of Internshala Student partner 10.0 programme keeping students in lieu of all the internship opportunities available

Campus Ambassador of E-cell, IIT Bombay and Quark, Bits Pilani, Goa

Have been a mentor for project presentation during INTERRUPT’19, a technical symposium conducted at Sri Venkateswara college of engineering Achievements & Certifications

NPTEL Certification in C++ with a score of 73%

Intel® Edge AI Scholarship Winner provided by Intel and Udacity

Coursera Certification on How Google does Machine Learning

Udemy Certification on Machine Learning Using SciKit-Learn

Elements of AI Certification offered by University of Helsinki and Reaktor

Internshala Certification on Python Programming

IBM Cognitive Class Certification on Machine Learning with Python

Coursera Certification on Intro to TensorFlow

Eduonix Certification on Data Science using R Programming

Udemy Certification on GetGoing: Introduction to Golang

Earned 10 Qwiklabs Badges and my profile was acknowledged by Qwiklabs

Secured 3

rd

place in Intra-college project competition

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