Computer Science Software Engineer

VANSH VIG

*****@****.*** vig-vansh 646-***-**** Newark, NJ

EDUCATION

New Jersey Institute of Technology (NJIT) Sept 2023 - May 2025 (Expected) M.S Computer Science Newark, New Jersey, USA

Punjab Technical University (PTU) Aug 2018 - May 2022 B.Tech Computer Science, GPA – 7.83/10 Mohali, Punjab, India SKILLS

• Programming Languages: C, Java, HTML/CSS, JavaScript, Python, C++, MATLAB

• Databases: SQL, MySQL, PostgreSQL, MongoDB, Oracle DB, MariaDB

• Frameworks: Django, Bootstrap, Panda, Apache Hadoop, Angular, pytorch, keras

• Other Skills: Tableau, Git, Docker, REST API, IBM Cloud, AWS, numPy, openCV EXPERIENCE

Software Engineer intern OCT 2021 – MAY 2022

Goodera Information Technology Pvt. Ltd., Bangalore

• Conducted intensive testing of software products using react, jest enzyme, python, Pytest resulting in a 20% reduction in critical defects identified and resolved.

• Reported 10+ issues and bugs in the code to improve the software.

• Generated SLA for developing 2 web applications and configured ODBC connection for data extraction from snowflake(1 million+ rows) for Tableau analysis.

• Documented technical specifications and contributed to team meeting, fostering a collaborative work environment

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Special Event Tech OCT 2023 - Present

New Jersey Institute of Technology, Newark

• Managed the installation of MATLAB and OpenCV for a workshop on 10+ computers for a image processing and Engineering workshop.

• Co-ordinated checks and troubleshooting efforts, resulting in a 30% reduction in downtime due to resolved issue.

• Ensured flawless operation of multimedia presentation and speaker systems at various conferences, resulting in 100% satisfaction rate among the attendees regarding audio visual quality and reliability. ACADEMIC PROJECTS

Credit Card Churn Prediction Machine Learning Project JAN 2024

• Engineered a Credit Card Churn Prediction system using Python, leveraging data processing and feature engineering with pandas and numPy, which predicted churn with 85% accuracy and reduced retention cost by 20%.

• Executed stratified K-fold cross validation to enhance model evaluation accuracy, which improved model performance by 20% and reduced prediction error by 75%, leading to better actionable insights for decision making.

• Collaborated with cross-functional team member to successfully integrate the prediction system into production, resulting in 25% improvement in deployment efficiency and system reliability.

• Conducted thorough feature selection using technique such as Recursive Feature Elimination(RFE) and SxelectFromModel.

• Achieved remarkable accuracy of 95.6% and ROC and AUC score nearly 92.8%. Calorie Calculator Web application Python-Django Project MAY 2024

• Developed a REST API that reduced response time by 40% and enabled real time updates.

• Integrated a food database API with Django’s ORM, expanding food options by 50% enhancing user feed.

• Built software Using Django’s MVT framework to detect users MET, improving accuracy by 30%.

• Utilized Django’s built in ORM and SQLite for efficient data storage, which in turn resulting in 20% reduction in data retrieval times and improved customer convenience. CERTIFICATIONS

• Programming for Everybody - Link

• Neural Networks and Deep Learning - Link

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