PARTH PATEL VANCOUVER, BC V3W0M3 | parthjpatel9199@gmail.com | +1 (236) 869-5045 | LinkedIn | GitHub EDUCATION NORTHEASTERN UNIVERSITY Master of Science, Computer Science CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOG Bachelor of Technology, Computer Engineering SEPTEMBER 2023 JULY 2017-MAY 2021 CGPA - 9.01/10.00 TECHNICAL SKILLS Languages: Python, SQL, C++, HTML, Java, C, CSS, JavaScrip Database Technologies: Firebase Realtime Database, MongoDB, MySQ Cloud Technologies: AWS EC2, AWS Lambda, AWS S Python Libraries: Sklearn, Pandas, NumPy, Matplotlib, TensorFlow, Keras, Beautiful Soup, Seabor Platforms and Tools: Visual Studio Code, Jupyter Notebook, Lucid chart, Eclipse, Cisco Packet Tracer, PyChar Version Control: GIT WORK EXPERIENCE ICLERISY, AHMEDABAD, INDIA JANUARY 2021-MAY 2021 SOFTWARE ENGINEER INTERN • Developed a React Native application for Best Choice Products, a company based in California • Implemented with shopify backend along with React Native AsyncStorage to improve user experience over company’s website by 40% FINALYTICS COMMERCIAL TECHNOLOGIES, MUMBAI, INDIA APRIL 2020-AUGUST 2020 SOFTWARE ENGINEER INTERN • Implemented complete backend API for a react native movie quiz game based on IMDB using Python Flask with 90% code coverage as a team of 3 developers • Created database for application in MySQL along with web-scrapping IMDB website; utilized AWS Lambda & AWS RDS in order to make serverless backend BITSCAPE INFOTECH PVT. LTD, AHMEDABAD, INDIA. MAY 2019-JUNE 2019 QUALITY ASSURANCE INTERN • Acquired complete knowledge of Software testing life cycle (STLC); designed and executed test cases for functional testing, integration testing, regression testing for on going software development in Python PUBLICATIONS QUESTION ANSWERING CHATBOT USING MEMORY NETWORKS RESEARCH CHAPTE 2021 Published in handbook of Research on Applied Data Science and Arti cial Intelligence in Business and Industry • by IGI Global (DOI:10.4018/978-1-7998-6985-6.ch019) [LINK] PROJECTS FISH CLASSIFIER SEPTEMBER-2020 Developed sh image classi er to detect illegal shing in ocean with an accuracy of 96.38% for Resnet34 • model QUESTION ANSWERING CHATBOT JANUARY-2020 Generated memory networks model on SQuAD database with a accuracy of 94.21% • • Tested state of art neural network on conversational ow, understanding work ow, and conversational steps with an accuracy of 89.63% WORD POWER MADE EASY SEPTEMBER-2019 Developed a Flutter mobile application for Word Power Made Easy book by Norman Lewis, used by over 10 • million students giving competitive exams to enhance vocabulary; Collaborating with a team of 5 accomplished project in under 4 months AUTOMATIC PET FEEDER DECEMBER-2018 Facilitated collaborative relationships among 4 team members, making a pet feeding system using Arduino and • RTM allowing user to set time for automated pet feeding; recommended a change in hardware for reducing it's cost by 20% HONORS AND AWARDS • 2nd Prize in poster presentation at Computer Society of India RSC’20 for paper on smart irrigation system with addition of data mining in same project • Awarded merchandise from Google for developing a trivia game for Google Assistant INVOLVEMENT m n fl L fi fi t Y 3 fl fi fi R fi • Presented Comparative analysis of Question / Answering systems poster involving concepts of NLP, SQuAD and memory networks at Computer Society of India RSC’20 • Writing a blog to impart knowledge to people starting their journey in machine learning. Blog crossed 150,000 viewers in over a year • Completed Red Hat System Administrator 1 and 2 with complete certi cation in September-2019