Machine Data

Chiru Charan T.S.

**************@*****.*** 994-***-****

https://www.linkedin.com/in/chiru-charan-t-s 1999/08/12

https://www.kaggle.com/chirucharants https://www.hackerrank.com/chirucharants

PROFILE

Strong in data structures and algorithms (oops, DBMS) with intuitive problem-solving skills. Having good knowledge of

machine learning algorithms, deep learning, AI. Skilled in C, Python, Java, SQL, passionate engineering looking to solve

real-life problems, To add value to the company and help achieve its targets and goals

EDUCATION

Bachelor's of Technology Electronics and Communication 2017/08 2021

National Institute of Technology Karnataka (NITK) Mangalore, India

INTERNSHIPS AND EXPERIENCE

Verzeo 2020/12 2021/04

Data Science

Share knowledge and insights with the data science and Familiarity with various Machine

learning models

Tools: Experience using Python and SQL

Understanding the business objectives to develop or establish success criteria metrics

Translate business problems into one or more data science projects/solutions

PROJECTS

Radar Sea Clutter Suppression Using Machine Learning Algorithms 2020/08 2021/03

The data set for this project is taken from McMaster IPIX Radar, to detect icebergs

without additional cost or human involvement

Tools- Python, Matlab, Kaggle

Led a team of 2 members to create an application and Reduces the danger of floods at

least 75 % and we used SVM, KNN, CNN algorithms to get perfect results

IRIS Data 2021/01 2021/03

Verzeo

Modify and update old application along with creating some new ones using deep learning,

and machine learning algorithms

Speech Recognition With Deep RNNs 2021/02 2021/04

We performed Automatic Speech Recognition using end-to-end Deep learning methods, One

of the key challenges in sequential distortions such as shrining, stretching, and translating, so

we analyze and evaluate well known Deep Speech 2 and Listen, Attend and spell

architectures and these are trained and evaluated on Librispeech Dataset, we obtained a

WER of 10.2 and 6.2 to improvement over the baseline model

MNIST Digits - Classification Using SVM 2021/01 2021/03

Verzeo

Model using support vector machine, we assessed the handwritten digits 0-9 from pixel

values to get Data understanding, cleaning Data preparation to build an SVM model like-

hyperparameter, model evaluation, etc, we took datasheet from kaggle and alter to get better

results in real-world problems.

Pneumonia Classification 2020/08 2020/11

Used X-Ray images to identify if an individual has Pneumonia. Used neural networks and

deep learning on x-rays to identify if a person suffered from Pneumonia

Self Balancing Bot 2019/06 2019/08

It is IOT based project, by using Arduino to control and balance a two-wheeled bot

SKILLS

Software language Computer software

Python, C Language, Java Atom, Jupyter Notebook, Github, MatLab, Dev-C++,

Kaggle, Arduino

Database

SQL, MYSQL Strong analytical / problem solving skills

Excellent communication skill Computer Application

COURSES

Machine learning

Verzeo

Neural networks and deep learning

NITK

Artificial intelligence

Verzeo

Data structure and Algorithms

NITK

Image and video processing

NITK

speech and audio processing

NITK

CERTIFICATES

HackerRank SQL for Data Science

Basic Python Certificate Dec 2020 Create datasets to solve business questions and problems Dec

2020

Verzeo

Knowledge in extracting insights from massive quantities of

data in an efficient way

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