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Student, machine learning,deep learning,critical thinking

Location:
Bangalore, Karnataka, India
Posted:
January 02, 2020

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Resume:

SHIDHARTH S

Branch: Information Technology

Mob: 961*******

Email: ada6yu@r.postjobfree.com

LinkedIn: linkedin.com/in/shidharth-s-870077170

Undergraduate student, currently in 4th semester, at National Institute of Technology Karnataka, Surathkal

A highly motivated and hardworking individual, always on the lookout to learn something new. A practical thinker with innovative ideas.

Work Experience

Summer intern May’19– July’19

Wipro Digital, Electronic city, Bangalore

Wipro is one of largest IT organization in India. I had worked on a project to increase accuracy of quarterly financial forecasting from 99% to 99.5%

Worked on Time Series Analysis and Forecasting using AR,MA,ARMA,ARIMA

Worked on application of Time Series Forecasting for Transformer Networks.

Researched on Capsule Networks and Causality

Projects

Disease Prediction using MIMIC III Dataset - Ongoing Research project exploring various Machine Learning and Deep Learning techniques to solve a multi-label classification problem, under the guidance of Dr.Sowmya Kamath(Assistant Professor)

Docker Networking – Mini project aimed at learning about Docker containers and Networking between them. Provided a demo to show-case Docker Networking and Overlay Networking

Hot Word Detection using Deep Learning – Used Deep Learning to identity the Hot word in a signal and perform an action once the same has been detected.

Bird Migration Pattern Prediction - Mini project to predict Bird migration Pattern using KMeans Clustering

Technical Skills

Machine Learning, Deep Learning

Time Series Analysis

Keras

Python, C

Education

Ongoing B.Tech (Information Technology) from National Institute of Technology, Karnataka

2016-2018 FIITJEE PU College

2000-2016 Sri Kumaran Children’s Home CBSE

Accomplishments

Winner of Hackoff 2.0 and also awarded the best Blockchain Project -Hackathon held at VIT Vellore on 14-15 December 2019. This Hackathon was conducted by MLH (Major League Hacking)



Contact this candidate