KANIMOZHI KALAICHELVAN

Portland, Oregon, USA. +1-559-***-****

https://github.com/kani04 add6f8@r.postjobfree.com

www.linkedin.com/in/kanimozhi-kalaichelvan https://kanimalli22.wixsite.com/kanimozhi EDUCATION

• Master of Science - Computer Science [GPA - 4.0] Marshall University, USA 2019 TECHNICAL SKILLS

• Programming Languages - Proficient in Python, Experienced in Java, MATLAB, R

• Web Frameworks - Flask & Django • Pandas • Numpy • Scipy • NLTK • Basics of HTML, CSS, JavaScript • Scikit-learn • SQL Query • MySQL DB • Mongo DB • Cloud Computing • Internet of Things (IoT) • Web crawling - Beautiful Soup, Selenium • Tableau • Raspberry Pi • Data Science • Natural Language processing - Sentiment Analysis, Topic Modelling • (ANN) Artificial Neural Networks • Data Visualization • Data Analysis • Statistics • Machine learning • Linux THESIS

Master’s Thesis - What People Complain about Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews, Marshall University, USA. Built scrapers to collect Google Play Store data such as drone-related apps, their reviews & developer replies as well as performed exploratory and descriptive analytics on them. Performed automatic categorization of reviews using Machine learning. PROFESSIONAL EXPERIENCE

Graduate Research Assistant Marshall University 2019 Topic: UAV Assisted Structural Health Monitoring (SHM) of Civil Structures .

• Performed anomaly detection and time-series forecasting on historical sensor data.

• Performed exploratory analytics on the data such as evolution, entropy to detect functionality failures. Programmer Analyst Cognizant Technology Solutions, India. Feb 2016 - Jan 2018

• Automation of DNI project using Selenium & Java. Executed SQL queries to test mail functionalities. TECHNICAL PROJECTS

[1] Web App using Unified API developed using Django Framework Developed a Web Application using Django Framework. This Web app makes REST API calls using a Unified API to access data from multiple sources and displays the results to the end user in a Table format.

[2] Bookstore Project, Marshall University, USA.

Implemented a complete DBMS system for managing transactions of a Book Store (Designed Frontend using HTML & JavaScript and backend using MySQL database).

[3] Cloud Web App using Google Cloud Platform, Marshall University, USA. Developed a Cloud Web Application (Google Cloud Platform) using Flask Framework. This Web app allows the user to access and modify the MongoDB database in the Cloud.

[4] IoT Project using Amazon Web Services in Cloud, Marshall University, USA. Developed a Greenhouse Monitoring System using IoT & Cloud Technologies in AWS.

[5] Web Crawlers, Marshall University, USA.

Developed Web Crawlers in Python to scrape required data from Websites

[6] Patient Monitoring System using IoT, India

Implemented a project “Internet of Things (IoT) enabled Wireless Patient Monitoring System using CC3200” using SimpleLink Wi-Fi CC3200 kit in Embedded Systems Domain. KANIMOZHI KALAICHELVAN

Portland, Oregon, USA. +1-559-***-****

https://github.com/kani04 add6f8@r.postjobfree.com

www.linkedin.com/in/kanimozhi-kalaichelvan https://kanimalli22.wixsite.com/kanimozhi PUBLICATIONS

[1] Kanimozhi Kalaichelvan, Haroon Malik, Sreehari Sreenath, “What People Complain about Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews”, The 11th International Conference on Ambient Systems, Networks and Technologies (ANT) April 6-9, 2020, Warsaw, Poland, Volume 170, Pages 547-554

[2] Sreehari Sreenath, Haroon Malik, Narman Husnu, Kanimozhi Kalaichelvan, “Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring” The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) April 6 - 9, 2020, Warsaw, Poland, Volume 170, Pages 656-663

[3] R. Ganesan, K. Kanimozhi, R. Prakash, V.Vijaya Chamundeeshwari, A. Balaji Ganesh.

“Internet of Things (IoT) enabled Wireless Patient Monitoring System using CC3200”, in International Conference on Soft Computing Systems (ICSCS 2015) - Australian Journal of Basic and Applied Sciences, 9 (16) Special 2015, Pages: 275-281 PRESENTATIONS

• Presented a Paper which employs Sentiment Analysis & Natural Language Processing techniques to develop an automated approach that helps developers filter, aggregate, and analyze user reviews.

• Presented & received appreciation for Projects on Web Crawlers, Internet of Things(IoT), Cloud Computing & Fuzzy Logic (done during Graduate studies).

• Presented 3 Guest Lectures on Artificial Intelligence classes during my Graduate studies.

• Won Third Prize on Project Presentation in Undergraduate studies.

• Performed E-Cube presentations on Soft Computing, Neuroprosthetics and Fuzzy Logic. CERTIFICATIONS

• Coursera Machine Learning (Stanford University Certification)

• NIIT Certification in Java programming

• NIIT Oracle Certification

• Basics of Selenium Certification in CTS

• Python, NLP, Django course certifications in Udemy

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