Hello! I am

Tarun Chitta

I'm

About

About Me

An enthusiastic and passionate Programmer with solid analytical, problem solving and communication skills. Here're my areas of interest and expertise - Software Development Life Cycle (SDLC), Big Data, Data Mining, Web Mining, Machine Learning (ML), Object Oriented Programming, Data Science and Deep Learning (AI). Good knowledge of Computer Science fundamentals such as: Object-Oriented Design, Algorithm Design, Data Structures, Problem solving, and Complexity Analysis. I'm adaptable and always willing to learn new technologies as needed to make an impact towards personal and professional growth.

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Education

2017-2021

Bachelor of Technology in Computer Science and Engineering (B.Tech CSE)

IIIT Naya Raipur, India

CGPA: 8.95

Click here to view the courses I enrolled in

In addition to my academics, I also volunteered for the events "Dizhard" and "Hackathon" during Technovate (IIIT-NR's Techno-Cultural Fest). I was the point of contact for all the participants starting from the registration process until the end of both the events.

2015-2017

Intermediate/ +2 (Physics,Chemistry,Mathematics)

Narayana Group of Institutions, Andhra Pradesh, India

96.4%

2015

Matriculation

Dr. KKR's Gowtham Concept School, Andhra Pradesh, India

CGPA: 9.7/10

Experience

June 2020 - Dec 2020

Freelance Data Analyst

The Wine Group

  • Worked along side Data Warehouse team for Data collection by Web scraping and Reverse Engineering Network calls.
  • Supported the team in the development of an App using Microsoft Power Apps
  • Analyzed and Visualized the data using R.

April 2020 - June 2020

Software Development Intern

CGNetSwara (Powered by Microsoft Research, India)

  • Worked on implementation of an IVR Poll and also customisation of Issue Tracker named GitLab as a CMS.
  • Worked on customising the organisation’s main website and also added some of the features in organisation’s CMS (Content Management System).
  • Implemented API of organisation using Flask framework.
  • Worked on implementation of a Python based Program, which Automatically Updates the upcoming data from the Database to a Google Sheet.
  • Visualised the entire data recorded during the lockdown phase (March 2020 to May 2020) in various plots.

Oct 2018 - June 2020

Research Assistant Under Dr. Kiran Garimella

Massachusetts Institute of Technology

  • Implemented data collection pipelines and interactive visualizers for different social media platforms such as WhatsApp, ShareChat, Tiktok, Telegram, Instagram.
  • Worked on implementing a Machine Learning model for identifying fact-checked images.
  • Implemented a classifier for detecting violence related News-Articles.

Projects

COVID-19 detection using Deep Learning

Trained a customized DarkNet model, CovidNet19 with 17 convolution layers and 5 maxpool layers using traditional approach and transfer learning methodology on pre-trained models such as VGG 16, Inception V3 and Resnet.
Tech Stack: Python, Keras

Network Traffic Classification

Implemented a Bayes Neural Network Model, which can classify into nearly 10 different classes with 98% accuracy. TheTraffic Classification data set provided by Cambridge University is used for developing the model.
Tech Stack: Python, Keras

Automatic Checkout using Deep Learning

Implemented a CNN based object detection model, which can detect the grocery items. Created a Web Application using Flask, HTML, CSS, Javascript and deployed it on the IBM Cloud platform
Tech Stack: Python, Keras

E-Commerce Product Reviews Classification Using Big Data Approach

Implemented classifiers using Spark Framework. In this project, we created a Multi-Node Spark Hadoop Clustersusing AWS EC2 instances, and then we used the Spark DataFrame for further processing. We used various classificationalgorithms and compared their Accuracies.
Tech Stack: Python, Pyspark

Deep Fake Video Identification

Implemented a CNN and LSTM based model to identify the Deep Fakes, with the help of Morphed Faces, if present in the video.
Tech Stack: Python, Keras

Twitter Sentiment Analysis

Implemented sentiment analyser using various Machine Learning algorithms like SVM, Random Forest, LogisticRegression etc., and also by using various feature vectors such as TF-IDF, Word2Vec, CountVectorizer etc., and comparedthe results of all the various classifiers built.
Tech Stack: Python, TensorFlow, Scipy, Sklearn

Handwritten Telugu Character Generation using GANs

Implemented Deep Convolutional Generative Adversarial Network (DCGAN) for generating Handwritten TeluguLanguage Characters.
Tech Stack: Python, Keras, Tensorflow, Pillow

Visualisation of WhatsApp Database

Developed a Python based tool with the WhatsApp database as the input and identifies different groups in the database and generates HTML page per group containing all the messages sent and received by the group. Visualized all the political parties data which was collected during Indian Elections 2019
Tech Stack: Python, HTML5, CSS.

Waste material Segregator using Rpi

Developed a waste material segregator which segregates the materials as transparent or opaque substances and then further segregates metals and non-metals.
Tech Stack: Python

Skills

C/C++

9

Java

7

Python

8

Databases - MySQL,Postgre SQL

8

Frontend - HTML,CSS,Bootstrap

9

Backend - Flask,PHP

9

Data Science, Machine Learning

8

Distributed Systems, Big Data

8

ML Libraries - OpenCV, Tensorflow, Keras

9