Social Media Python

PRATIK KADAM

***************@*****.*** 971-***-**** San Diego, CA linkedin.com/in/pratikkadam22 github.com/pratikkadam22 pratikkadam22.github.io EDUCATION

• Portland State University, Portland, OR Sept 2018 – June 2020 Master of Science, Computer Science

Relevant coursework: Internet & Cloud Systems, Full Stack Web Dev, Algorithm Design & Analysis, Software Engineering, Advanced Java Programming, Cloud & Cluster Data Management, Machine Learning, Database Implementation, Programming Languages, Internetworking Protocols

• Bharati Vidyapeeth College of Engineering, Navi Mumbai, India Aug 2014 – June 2018 Bachelor of Engineering, Information Technology

PROFESSIONAL EXPERIENCE

• Intel Corporation, Austin – Software Development Intern June 2019 – Dec 2019

- Developed a web software infrastructure using Python Flask framework and SQLAlchemy object-relational mapper

(ORM) for SQLite to manage a source code similarity database and to adapt different training models.

- This infrastructure included a Python database abstraction for hierarchical file system, REST APIs to interact with the data, a web GUI, Pytest framework for testing the infrastructure and Sphinx for providing the documentation.

- Regular project updates on GitLab configured with CI/CD pipeline and weekly status meetings with the team.

- Coordinated directly with members of the TCAR Pathfinding team of Intel’s IAGS organization

• Consulo Technologies Pvt. Ltd., Mumbai – Web Development Intern June 2017 – July 2017

- Handled support and change requests using ASP.NET for the portal “fiticket.com”, a new kind of fitness membership providing you access to best gyms and fitness clubs in your city. TECHNICAL SKILLS

• Programming / Databases : Python, Java, PostgreSQL, JavaScript, C, C++, SQLAlchemy, MongoDB, NoSQL, Scala

• Web Development : Flask, React, Redux, Node, Express, Firebase, GraphQL, Django, Bootstrap, jQuery, JSON, PHP, .NET

• Operating Systems : Windows, Linux

• Cloud Platforms : GCP (Google Cloud Platform), AWS (Amazon Web Services) PROJECTS

• Project Management Tool (React, Redux, Firebase, JSX, CSS) April 2020 – May 2020 The tool uses Firebase authentication to allow the members of a team to maintain a list of projects that they are working on. Firebase firestore and cloud functions are used to store data and display notification when a new project is added.

• Gamers’ Nest (Node.js, Express.js, MongoDB, Passport.js, HTML, CSS, Bootstrap) Feb 2019 – Mar 2019 Centralized website for gamers, where they can register or log in, to get info on latest and upcoming game releases, their system requirements, trailers, gameplays and more. Used Twitter API to fetch the latest tweets related to the game.

• Wonders of the World Web App (GCP, Python, Flask, HTML, CSS, Bootstrap) Oct 2018 – Dec 2018 Developed and deployed using the Google Cloud Platform and the Python Flask framework. It utilizes the following Google Cloud’s Machine Learning APIs: Vision, Translate and Text-to-Speech.

• Movie Success Prediction based on classical and social factors (ASP.NET, Python, MSSQL) Aug 2017 – Feb 2018 A website for the prediction of success rate of upcoming movies based on classical factors like previous history of cast and crew and social factors like public comments on social media websites like twitter.

• Registration portal for a Coaching Institute (PHP, MySQL, JavaScript, HTML, CSS) Jan 2016 – Mar 2016 A website developed for the students to register and create their accounts for a coaching institute and also helped the faculties to keep a track of student profiles.

• Internet Relay Chat (Python) Oct 2018 – Dec 2018 An application layer protocol for client-server model to communicate between server and multiple clients in private and public mode using socket programming in python.

• IPL Cricket tournament DBMS (PostgreSQL) Oct 2018 – Dec 2018 A system to populate the statistics of the history of Indian Premier League Cricket tournament over the past 10 years and analyze them using PostgreSQL.

PUBLICATIONS

• Title: Movie Success Prediction based on Classical Factors and Social Factors Publisher: International Journal of Engineering Science and Computing

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