Sundaresh Narayanan Email : adkyr5@r.postjobfree.com

linkedin.com/in/sundareshn13 — github.com/sundareshn13 Mobile : +1-864-***-****

Education

Master of Science(CS) Clemson, South Carolina

•Clemson University; GPA: 3.66 January 2020 – December 2021

Bachelor of Engineering (IT) Mumbai, India

•Thakur College of Engineering and Technology; CGPA- Agg: 8.45/10, Major: 9.4/10 August 2015 – June 2019

Programming Skills

•Languages: JAVA, C, C++, PYTHON, HTML, CSS, JAVASCRIPT, PHP (Basic), AngularJS.

•Application Software: Git, Jupyter, Latex, Microsoft Office, MySQL

Projects

Spotify Analysis : Performed a brief analysis on spotify data from the last 30 years using JUPYTER and PYTHON to present/recommend the users with top 50 trending songs.

DADNet Dilated attention Convolution Network for Crowd Counting : Created a Convolution Network of multiple layers using TensorFlow to build a model which counts the number of people provided by the user in an image format. ShanghaiTech and UCF-CC-50 were the databases used to train and test the model.

Research on Job Satisfaction (Pre and Post Covid-19) : Performed a detailed analysis on the data of over 10 plus renowned and reputed companies to understand the job satisfaction of employees. Remote work and Traditional work have their own pros and cons. Microsoft EXCEL and PYTHON were used to analyze study significant patterns.

Sentiment Analysis : Built a recommender system based on the perceived emotions of the user using Twitter data. A web application which enhances the mood of the user by recommending movies and songs based on emotion of their tweets. KAGGLE databases and PYTHON were used to build the model as well as train and test it.

Research on Enhancing Teamwork : An Empirical Research on how to enhance a loosely coupled DevOps team in terms of cognition and communication using artificial agents and tools. A literature review of the current state of DevOps team in order to find gaps and recommend avenues for future research.

Malware Reverse Engineering : Detection and analysis of malware using various tools such as PEView, IDA pro, Wireshark, and Process Monitor. Usage of Virtual box since it is very risky to open malware applications in the host machine.

Artificial Intelligence : Using Python to implement various classical algorithms such as BFS/DFS/A star/Bayesian Nets. Implemented a decision tree for predicting clickstreams and a spam filter using Naive Bayes classification. Separated Spam and Ham e-mails using Binary Perceptron Filter.

Experience

Young Butterfly Mumbai

•Web Application Developer - Intern September 2019 to December 2019

Created a framework for User Management in a Web application. Further designed web pages using HTML and CSS. Created a full layout for the ordering and designing of web pages for better user interaction.

Mumbai28 Pvt Ltd Mumbai

•Software Engineer - Intern July 2018 to Oct 2017

Created all the web sign-in pages for their application using Google Firebase. Also created an application which implemented an algorithm to find the optimal path to visit multiple points in Google Maps. We used Google Maps API to draw a line depicting the best path, taking traffic and other variables in consideration.

Publications

Recommender System based on Perceived Emotions: Sundaresh Narayanan, Subba Rao Illa, Shivam Panwar, Chirayu Sharma and Nina Hubig- Sage Journal 2020.

Enhancing teamwork using Artificial Intelligence: Sundaresh Narayanan, Subba Rao Illa, Nathan McNeese- 2021 (Waiting for Publication).

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