| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE vig-vansh PHONE NUMBER AVAILABLE Newark, NJEDUCATIONNew Jersey Institute of Technology (NJIT) Sept Street Address - May 2025 (Expected) M.S Computer Science Newark, New Jersey, USAPunjab 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 EXPERIENCESoftware Engineer intern OCT 2021 MAY 2022Goodera 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.Special Event Tech OCT 2023 - PresentNew 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 PROJECTSCredit 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 Djangos ORM, expanding food options by 50% enhancing user feed. Built software Using Djangos MVT framework to detect users MET, improving accuracy by 30%. Utilized Djangos 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 |
