Social Media Python

ADITYA P CHAVAN

+1-480-***-**** adkiob@r.postjobfree.com www.linkedin.com/in/aditya003chavan Tempe, Arizona Summary

Graduate student pursuing a Master's in Computer Science from Arizona State University. I am currently seeking full-time opportunities in Software Testing for Summer 2021. Education

Arizona State University Tempe, USA

Master of Science in Computer Science GPA -3.78/4.0 Expected: May 2021 Courses: Algorithms and Data Structures, Machine Learning, Data Mining, Software Security, Mobile Computing, Human-Computer Interaction, Data Visualisation, Software Verification Validation Testing University of Mumbai Mumbai, India

Bachelor of Engineering in Computer Engineering GPA -7.83/10 Graduated: June 2018 Courses: Data Warehousing, Web Development, Software Project Process, and Quality Assurance, Distributed Database Management, Structure and Object-Oriented Analysis and Designs, Data Structures Certifications: Core and Advanced Java, Python 3.x, Data Visualization, Web Development, Android Java, Python Test, Java Unit Testing, ASP .NET, D3.js, Photoshop Technical Skills

Programming: Python, Java, HTML5, CSS, JavaScript, MySQL, PHP, C++ Development tools and libraries: Eclipse, VSCode, Visual Studio, Jupyter, Anaconda, Vue.js, Node.js, D3.js jQuery, Github, AWS, Flask, Android Studio, Bootstrap, JUnit, Matplotlib, Pandas, Numpy Professional Experience

Software Developer Intern at Trivia Softwares, Mumbai Jan 2019- May 2019

● Lead a team of 4 interns in developing and deploying a desktop application for the employer.

● The developed application performed data analysis and simplified data visualization of student’s results.

● Was part of the team that performed Quality Assurance and Testing at every stage of the development. Projects

Secure Banking System(Python, Flask, HTML, CSS, Javascript, MySql) January 2020 - April 2020

● Developed a banking application keeping security as the top priority and providing a way for the customers to communicate with different levels of employees and deployed it on AWS.

● Performed debugging, testing, and QA on the banking applications developed by other teams. Improved Website User Interface(Axure RP 9) February 2020 - April 2020

● Lead a team of 4 to design an optimized prototype that improved the UX, usability and the frontend of an online shopping website.

● The prototype was A/B tested by 300 college students, and the SUS score conveyed that the users’ liked the developed prototype better than the original website. Voice from the People(d3.js, HTML, CSS)

● Analyzed social media messages sent by the inhabitants of St.Himark before and during the time of natural disaster.

● Created a data visualization dashboard based on the analysis, which can help the city official prioritize all the city resources and allocate them based on the severity of the problems to different neighborhoods. RESTful application to classify ASL signs(Android, Python, ML models)February 2020 - May 2020

● Developed a RESTful application that accepts Human pose skeletal key points (generated using TensorFlow's Pose Net) of the ASL videos as the inputs.

● Used Decision Trees, K Neighbours, Random Forest, and Extra Trees algorithm to develop the machine learning models. Using the models and the key points, the ASL signs were classified, and the labels were returned as JSON responses.

Semi-Supervised Learning(Python)October 2019 - December 2019

● Implemented semi-supervised learning algorithms using deep convolutional neural networks.

● Experimented with semi-supervised algorithms such as Entropy Minimization and MixUP on the CIFAR-10 dataset.

Classify Meal/No meal data(Python) September 2019 - November 2019

● Organized and cleaned the data from the sensors and applied various feature selection methods on the data set, and classified data into different categories using SVM, Neural Networks, and decision trees.