Abhilash Menon

H +1-864-***-****

̋ https://www.linkedin.com/B abhilas@in/abhilashbmenon/ g.clemson.edu Education

2016–2017 Master of Science, Computer Science, Current GPA: 3.7/4.0. Clemson University, South Carolina, USA

2011–2015 Bachelor of Engineering, Computer Science and Engineering. Gujarat Technological University, Gujarat, India

Experience

May 2016 –

Present

Graduate Research Assistant, School of Computing, Clemson University. Clemson, SC, USA

Developing a user interface accommodating requirements from Samsung Inc. and taking into account clusters of users which were encountered while analyzing data

Designing and implementing (on a team of two) multiple machine learning algorithms

(hybrid classifiers) that iterate thousands of times and lead to if-then rules which recommend default privacy profiles to the users of an ’Internet of Things’ environment

Performing data mining and quantitative analysis on datasets using various mining algorithms and statistical methods to help substantiate human-centered computing theories

Responsible for the selection of suitable machine learning algorithms for incoming data

Building deep learning neural networks to predict privacy preferences of potential users for an IoT environment

Conducting exploratory data analysis and visualizing results using ggplot2, d3.js and Tableau

Jun 2014 –

Aug 2014

Summer Intern, Information Systems Department, GNFC Ltd.. Gujarat, India

Assisted in the operation and maintenance of the network facilities critical to the organi- zation by tracking server activity and performing upgrades of software

Conducted monitoring and troubleshooting activities for the employees’ payroll system which was managed using SAP

Skills

Programming

Languages

Java, C, C++, Python, Ruby,

HTML, PHP, RESOLVE, LaTeX,

JavaScript, Matlab, Assembly,

AADL, Bro, R

Operating

Systems

Windows, Linux, Macintosh

Android, iOS

Tools and

API

WEKA, Network Simulator 2.35,

Webots, SUMO, TensorFlow,

D3, Tableau, ggplot2, NLTK,

VADER, scikit-learn, SQL, Ora-

cle, Hadoop, MapReduce, Spark,

Git, Leap Motion SDK

Other Tools MS Word, MS PowerPoint, Prezi,

MS Excel

Other Skills Data Science, Machine Learning (Classification and Prediction), Recommendation Systems, Deep Learning, Statistics, A/B Experiments, Design of Algorithms, UI/UX, HCI, Software Engineering, Programming, Unsupervised Learning, Supervised Learn- ing, Text Mining, NLP, Data Visualization

Personal

Skills

Teamwork, Collaboration, Effective Communication, Problem Solving, Passion for solving problems through technology, Adaptability, Decision Making, Leadership Languages English (Professional Proficiency)

Gujarati (Professional Proficiency)

Malayalam (Professional Proficiency)

Hindi (Native)

Projects

Aug 2017 -

Dec 2017

Pedestrian Collision Avoidance (PCA) application for autonomous vehicles using I2V communication .

Used Webots and SUMO to simulate a real world traffic environment to analyze the problems non-line of sight pedestrians pose for autonomous vehicles

Modelled a total of 2 situations; one with sensors and non-line of sight pedestrians and the second with simulated sensor failure and regular pedestrians

Used data fusion and machine learning algorithms to come up with potential paths (for collision avoidance) for the vehicle

Jan 2017 -

May 2017

Using natural language processing and textual sentiment analysis on news articles to predict stock prices .

Used the Xignite API to get URL’s, Beautiful Soup to extract articles out of URL’s, the NLTK library to tokenize articles and VADER for the actual sentiment analysis Jan 2017 -

May 2017

Predicted stock prices using deep learning neural networks utilizing function- alities in Keras and TensorFlow.

Analyzed time series data (historic stock data) and also considered the addition of various variables (Ex. corn prices); the final list of variables was selected using correlation analysis and a secondary approach using random forests was also implemented to ascertain the validity of results

ArchHacks

2016

Developed a gesture-based care-giving application at a 48-hour hackathon. Used the D3 library for visualization purposes and the leap motion controller and its API to implement the functions

January 2016

- May 2016

Implemented software architecture for a roadway lighting application. Implemented a Connected Vehicle Reference Implementation Architecture from USDOT

(CVRIA, United States Department of Transportation) in AADL (Architecture Analysis and Design Language

March 2016 -

May 2016

Designed and implemented proof rules for formally verifying all queue oper- ations in RESOLVE.

June 2014 -

May 2015

Analyzed and avoided blackhole attacks in a multipath routing protocol over MANET.

Environment was setup using NS-2.35 on a linux machine Publications / Presentations

Feb 2015 Presented a paper titled "Comparison of TCP and CBR in AOMDV routing protocol over MANET" and published the same in the International Journal of Current Engineering and Scientific Research (ISBN: 978-93-85225-03-1), Payal Mahida, Abhilash Menon, Meet Patel, Krunal Patel. 3rd International Conference of Computer Science and Information Technology Graduate Courses

Big Data Analytics for Intelligent Transportation Systems, Measurement and Evalu- ation of Human-centered Computing Systems (involved Statistics), Applied Data Science, Data Mining, Software Architecture, Software Verification and Validation, Theory of Programming Languages, Human and Computer Interaction, Fundamen- tals of Human-centered Computing Systems, Advance Networking & Security Activities and Additional Info

Research Grp. http://www.hatlab.org/.

Volunteer Jan Shikshan Sansthan

Orator Intercollegiate debate team

References Available upon request

Contact this candidate