VISHAL KATARIA
Dearborn 248-***-**** ********@*****.*** www.linkedin.com/in/kataria-v
SUMMARY
• Professional and motivated Computer and Information Science graduate student majoring in Software Engineering and Data Management and Analytics.
• Over two years of experience and proven skills in developing. Worked on different Big Data technologies. Course project work experience in developing Network protocols in python.
• Quick learn and master new technologies, successful working in both team and self-directed settings. EDUCATION
University of Michigan – Dearborn, MI Dec 2021
Master’s in Computer and Information Science (MS) GPA: 3.33/4 Relevant Coursework: Software Engineering; Introduction to Big Data; Database Systems; Programmable Mobile/Wireless Technologies and Pervasive Computing; Advanced Operating Systems. CGC College of Engineering, India May 2019
Bachelor’s in Computer Science & Engineering (BS) GPA: 3.2/4 WORK EXPERIENCE
Click Labs Pvt. Ltd. (Delta School), India Jan 2019 – May 2019 Industrial training (Database Intern)
• Maintained 1000 customer records in company’s MySQL database.
• Updated website with information on new events and services utilizing Front Page.
• Processed online subscriptions, activating new subscriber accounts by creating usernames and passwords. CGC College of Engineering, India Mar 2018 – Dec 2018 Lab Assistant (object-oriented programming)
• Provided technical support to students in a computer lab.
• Recommended students with ideas related course projects.
• Conducted multiple quizzes for oops functionalities.
• Maintained word files with information of students (Project Details, Attendance, Interests). EDUCATIONAL PROJECTS
SMART DOOR LOCK USING MQTT PROTOCOL Sep 2020 – Dec 2020
• Performed locking/unlocking on a door using instructions with wireless protocol from authorized device.
• Implemented MQTT application protocol for smart lock.
• Used Raspberry Pi with MQTT PUB/SUB model.
• PAHO MQTT python library for mqtt implementation.
• Utilized Mosquitto Broker for server.
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING TECHNIQUES Jan 2020- Apr 2020
• Goal: To distinguish 100% of fake exchanges while limiting wrong misrepresentation arrangements.
• Converts data-intensive and confusing information into a simple format which suggests actions to decision-makers.
• Utilized execution of Binomial Logistic Regression Algorithm.
• Used Random Forest Algorithm for Classification.
• Used Tableau for interactive map of credit card transaction’s data set.
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CHAT APPLICATION FOR ANDROID Jan 2020- Apr 2020
• Goal: Authenticate a user in group chat, manages group chat history, enable/disable users to send messages in group.
• Designed Bridge pattern to provide multiple implementations under same interface.
• Used Refactoring steps by turning large method into smaller methods and by moving and renaming methods to appropriate class. TECHNICAL SKILLS
Languages: Python, C/C++, Java, SQL (Postgre, Oracle, MS Access), HTML/CSS, JavaScript, PHP Developer Tools: PyCharm, Eclipse, OracleVM Virtual Box, Google Cloud Platform, Tableau Libraries: Paho MQTT, Apache Hadoop, pandas, NumPy, Matplotlib