Recent Graduate | Actively looking for Full Time Opportunities - SWE/Data
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Experience
MathWorks | Natick, MA May 2019 – August 2019
Cloud Investigations and Prototyping Intern
• Worked on the early prototypes of services delivering MATLAB based Deep Learning workflows running on the AWS Cloud Platform.
• Engaged with product teams, understood customer use cases, documented requirements and created solutions leveraging the AWS cloud platform.
• The MathWorks 2019 Summer Intern Hackathon Winner for the “Most Innovative Use of MathWorks Products”. Developed a prototype VisualWorks which enables interacting with MATLAB 3D Plots using Hand Gestures.
USC Marshall School of Business | Los Angeles, CA September 2018 – December 2018
Research Assistant • Performed Web Scraping of Real Estate Listings for Housing Cost Analysis in United States, using Beautiful Soup and Selenium in Python.
Indian School of Business | Hyderabad, India June 2017 – December 2017
Research Intern, Applied Statistics and Computing Lab
• Teaching assistant for Data Collection and Text Analytics courses for the Certified Business Analytics Program at ISB.
• Implemented Supervised Learning Algorithms in R and Python for Machine Learning chapter of an upcoming book on Business Analytics by a team of ISB professors.
Spice Digital Limited | Delhi, India June 2015 – August 2015
Web Developer Intern
• Collaborated with the Web development and Design team to enhance existing website by adding desired functionalities.
• Designed a customer contact form with Bootstrap Framework, JavaScript and PHP, which was incorporated and published on main website.
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Projects
Moodify Stack: Node.js, Amazon Web Services (Lambda, S3)
• Developed an Alexa Skill via Alexa SDK that uplifts current mood of user by striking conversation, playing some good music and telling jokes based on user's mood.
• Presented the customized skill with a live demo at Alexa Skills Hackathon 2018 organized by Amazon in Torrance, CA.
Recommendation System Stack: Scala, Apache-Spark, Big Data, Data Mining, Machine Learning
• Implemented model based and item based recommendation system on the yelp reviews dataset using Pearson Correlation and obtained an RMSE of 1.08.
K-Means and Bisecting K-Means Clustering Stack: Scala, Apache-Spark, Big Data, Data Mining
• Implemented K-Means algorithm with Word count and TF-IDF features using Euclidean distance measure and identified the top ten frequently occurring features for each cluster.
• Implemented K-Means and Bisecting K-Means algorithms using the Spark APIs on the Yelp Reviews dataset.
SmartLock Stack: Python, Android, Microsoft Face API, Microsoft Azure
• Prototyped a Home Security System with two factor authentications combining Computer Vision and Satellite Positioning as well as leveraging power of the Internet of Things (IoT), to significantly decrease false alarms and improve home security.
• Demoed working model during HackTech 2018 at California Institute of Technology, CA.
Travelo – A Travel and Entertainment Search Stack: Bootstrap, AJAX, JSON, jQuery, PHP, Google Places APIs, Yelp APIs, AWS
• Created a responsive Web Application which displays information retrieved from Google Places APIs and Yelp API to give all required details of a place searched for by a user.
• The webpage provides information such as address, phone number, price level, ratings, website link, photos, Google and Yelp reviews, street view of place with detailed directions to the location by different modes of transport.