I am pursuing my Masters of Science in Computer Science from Arizona State University and I will be graduating in May 2021. I am actively looking for Full-Time opportunities in the field of Software Development and Data Science.
I recently worked at a Cyber Security based start-up Cyr3con in Tempe, Arizona as an Intern for Summer 2020. The duration of my internship was of 3 months, during the course of the internship the following tasks were performed, developed, tested, and deployed to production various quality crawlers and parsers. Developed around 4 sites per week, a total of 50 sites in the tenure of the Internship. Helped other developers in the team with issues and code verification. Set up new Mongo Keys in collaboration with the Database Team. Helped access average life cycles of scripts, categories of error types, and long term remediation of those developed quality measures to improve the resiliency of scripts.
1) Continuous Glucose Monitoring System • Extracted time-series features of the given Glucose data and time stamp values corresponding to it. • Given raw data, first processed the data and then applied time series features to extract time series matrix and performed PCA analysis for dimensionality reduction. Used PCA, Pandas, and tsfresh python libraries. • Made plots for the PCA eigenvalues and feature matrix values using matplotlib.
3) Industry Level Implementation of Activity Tracking System • Designed an activity tracking mobile application which had enhanced functionalities as compared to the present applications and implemented the application on wearable devices as well. Used technologies like Java, HTML5, CSS, JQuery, Android Studio. • Documented Software Requirements, Goal and Requirement Models and Software Architecture using OSATE, ALISA, AADL and OBJECTIVER.
4) Cryptanalysis of Enigma Machines Developed a C++ algorithm that works similar to Enigma Machines used during World War II for communication using Ciphered Text.
5) Twitter Sentiment Analysis Sentiment Analysis of a topic by parsing the tweets fetched from twitter in Python used MonkeyLearn (A machine Learning platform for Text Analysis).