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Shubham Atre
shubham.atre@cs.stonybrook.edu https://github.com/shubham-atre
https://www.linkedin.com/in/shubhamastu/ Mobile : +1-631-538-6966
Education
•
Stony Brook University Stony Brook, NY
Master of Science in Computer Science Aug. 2018 – Dec. 2019
◦ Relevant Courses: Natural Language Processing, Data Science Fundamentals, Analysis of Algorithms,
Human Computer Interaction
•
DAVV University Indore, India
Bachelor of Engineering in Information Technology; 80.1% Aug. 2012 – May. 2016
◦ Relevant Courses: Data Structures, Operating Systems, Object Oriented Programming, Computer
Networks, Computer Architecture, Cloud Computing, Enterprise Resource Planning
Experience
•
Accenture Pune, India
Application Development Analyst May 2016 - March 2018
◦ Developed back-end web services and required Integration components for interfacing with the front end.
◦ Worked with IBM Portlets and Java Server Faces.
•
DAVV University Indore, India
Technical Assistant, Intern April 2015 - August 2015
◦ Handled the deployments and maintenance of websites of university-affiliated institutes.
◦ Full stack development of the website for the universitys sports department using PHP, MySql,
Bootstrap, HTML, CSS, and JQuery.
◦ Created a local test server to simulate a testing environment for the website.
Languages and Technologies
• Java, Python, MySQL, JPA, Hibernate, SOAP API, Spring MVC, PHP.
• JSF, HTML, JavaScript, CSS, BootStrap, JUnit, Maven, TensorFlow, Pandas, Seaborn.
Projects
• Taxi Fare Prediction (2018): Prediction of Taxi fares by analysis of the historical data of taxi rides in New
York City. Used Pandas for prepossessing, Seaborn and Sklearn for analysis and modeling. Proposed a model
to predict the fares given a set of input parameters.
• Word2Vec Implementation (2018): Implemented methods to learn word representations building on
Skip-grams and applied the learned word representations to a semantic task(word analogies). I did my
implementation in Python using Tensorflow.
• Website for the Sports Department of DAVV University (2015): A full-stack development using
PHP, Bootstrap, HTML & CSS, MySQL, JavaScript, and jQuery. Within three months the site went live for
around 160 thousand users across 170+ institutes affiliated to the university.
Achievements and Extracurricular Activities
• GRE - Scored 326/340 on the exam, with a score of 170/170 in the Quantitative Reasoning section.
• Completed 3 months training in Italian language and obtained A1 level certification.

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Resume 1.5

  • 1. Shubham Atre shubham.atre@cs.stonybrook.edu https://github.com/shubham-atre https://www.linkedin.com/in/shubhamastu/ Mobile : +1-631-538-6966 Education • Stony Brook University Stony Brook, NY Master of Science in Computer Science Aug. 2018 – Dec. 2019 ◦ Relevant Courses: Natural Language Processing, Data Science Fundamentals, Analysis of Algorithms, Human Computer Interaction • DAVV University Indore, India Bachelor of Engineering in Information Technology; 80.1% Aug. 2012 – May. 2016 ◦ Relevant Courses: Data Structures, Operating Systems, Object Oriented Programming, Computer Networks, Computer Architecture, Cloud Computing, Enterprise Resource Planning Experience • Accenture Pune, India Application Development Analyst May 2016 - March 2018 ◦ Developed back-end web services and required Integration components for interfacing with the front end. ◦ Worked with IBM Portlets and Java Server Faces. • DAVV University Indore, India Technical Assistant, Intern April 2015 - August 2015 ◦ Handled the deployments and maintenance of websites of university-affiliated institutes. ◦ Full stack development of the website for the universitys sports department using PHP, MySql, Bootstrap, HTML, CSS, and JQuery. ◦ Created a local test server to simulate a testing environment for the website. Languages and Technologies • Java, Python, MySQL, JPA, Hibernate, SOAP API, Spring MVC, PHP. • JSF, HTML, JavaScript, CSS, BootStrap, JUnit, Maven, TensorFlow, Pandas, Seaborn. Projects • Taxi Fare Prediction (2018): Prediction of Taxi fares by analysis of the historical data of taxi rides in New York City. Used Pandas for prepossessing, Seaborn and Sklearn for analysis and modeling. Proposed a model to predict the fares given a set of input parameters. • Word2Vec Implementation (2018): Implemented methods to learn word representations building on Skip-grams and applied the learned word representations to a semantic task(word analogies). I did my implementation in Python using Tensorflow. • Website for the Sports Department of DAVV University (2015): A full-stack development using PHP, Bootstrap, HTML & CSS, MySQL, JavaScript, and jQuery. Within three months the site went live for around 160 thousand users across 170+ institutes affiliated to the university. Achievements and Extracurricular Activities • GRE - Scored 326/340 on the exam, with a score of 170/170 in the Quantitative Reasoning section. • Completed 3 months training in Italian language and obtained A1 level certification.