Software Engineer, Data analyst, Business Anlayst

Gururaj Shinde

Brooklyn, NY- ***** ********@***.*** https://github.com/gururaj3 https://wp.nyu.edu/gshinde3/ +1-347-***-**** EDUCATION

New York University, Tandon School of Engineering, Brooklyn, NY May 2021 Master of Science in Computer Science and Engineering Relevant Courses: Design and Analysis of Algorithms(DAA), Machine Learning, Cloud Computing, Programming for Big Data Analytics, Principles of Database Systems

MIT College of Engineering, Savitribai Phule Pune University, Pune, India May 2019 Bachelor of Engineering in Information Technology(3.86/4.0 GPA) Relevant courses: Data Structures and Files, Operating Systems, Database Management Systems, Internet of Things(IoT), Data Science and Big Data Analytics, Distributed Computing

PROFESSIONAL EXPERIENCE

Graduate Assistant, Department of Academic Affairs, New York University Sept 2019 - Present

Assisted the advisers with record keeping of the undergraduate students from all majors(over 550 records)

Prepared basic statistical reports every 15 days, tracking the nature and frequency of student contacts Intern, Central Water and Power Research Station, Pune (Government of India Sponsored Project) July 2018 - June 2019

MQTT v3.1 protocol was put into use for transferring data to the brokers for real-time temperature tracking

Used Tableau to translate numbers into meaningful facts to help businesses make better decisions Project Intern, Shalaka Connected Devices LLP, Pune (B.E. Sponsored Project) Aug 2018 - May 2019

Developed an IoT based Cloud Framework using Node.js, Express.js and Google Firebase named ReMoNeT

Utilized MQTT v3.1 protocol to send data from sensor nodes to cloud where the data was analyzed and managed by a Web App Cloud Intern, Earth Solutions Pvt. Ltd., Pune Jan 2018 – June 2018

Implemented a chatbot using AWS Lex and AWS Polly and deployed it on Facebook Messenger

Migrated various components to AWS Cloud using S3, AWS Lambda, API Gateway and DynamoDB SELECTED ACADEMIC PROJECTS

Chicago Crime Data Analysis (Apache Spark, ML, Python, Flask, Tableau):

Achieved best accuracy of 75 % using Random Forest, resulting in 38 % decrease in the number of reported crimes

Performed data cleaning and processed huge sets of data by creating a Spark pipeline

Designed a Python Flask based Web App to integrate all our results into a common platform

Created a visually impactful story in Tableau depicting the crime trends over time 2001 - 2019 Universal Tech Academy(Python, MongoDB, Flask):

Designed a dynamic and interactive web application using Python Flask and MongoDB

Used Flask-MongoEngine to set up and configure my database system in order to store and track data. Also, created a MongoDB aggregation pipeline to process data in 3 stages: $lookup, $match, $unwind

Created RESTful Web API’s using Flask-RESTPlus to connect all endpoints Credit Card Fraud Detection(Machine Learning, Python, R, Data Mining):

Correctly classified 65% of total fraud case which is a very high percentage in comparison with genetic, resilient backpropagation and any other training algorithm.

IQ Test(MySQL, PHP, Web Application):

Developed a robust and secure web application using MySQL and PHP which predict the IQ score in the range 0-10 by asking the users questions on logic, pattern recognition, spatial orientation, and general knowledge TECHNICAL SKILLS

Languages: C, C++, Java, Python, R, JavaScript, Node.js, Express.js, React.js, HTML5, CSS3, PHP, XML, Shell, Win32 SDK Databases: MySQL, MongoDB, Google Firebase

Environments: Eclipse, NetBeans, Visual Studio, Google Suite, Tableau, IntelliJ IDEA, Android Studio, Git Platform/Framework/OS: Spring, Hibernate, Docker and Containers, Kubernetes, Windows, Linux/Unix Other tools: AWS, Apache Hadoop, Apache Spark, CUDA, OpenCL, Wireshark ACTIVITIES & ACHIEVEMENTS

Machine Learning Facilitator, In Collaboration with Google India Marketing & Promotions, Internshala Student Partner 9.0 March 2018 - May 2018

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