SHUBHAM

Impelsys is a leading provider of digital solutions for publishers, educators, and corporations. As a Full Stack Engineer, I collaborated with a team of talented engineers to develop and maintain web applications using C#, PHP, and MySQL. We delivered high-quality products that met the needs and expectations of our clients, such as a learning management system, a content delivery platform, and a data analytics dashboard.

I am also pursuing my Master of Engineering and Master of Technology degrees in Computer Science at Chandigarh University, where I am learning advanced concepts and skills in artificial intelligence, cloud computing, and cybersecurity. I am passionate about creating innovative and user-friendly solutions that enhance the digital learning experience. My core competencies include web development, database management, problem-solving, teamwork, and communication. I am always eager to learn new technologies and apply them to solve real-world problems.

Playing | Music | Painting | Travelling | Reading | Gardening

Team Leadership | Management &  Coordination | Decision Making

• Face detection using python : Designed and implemented a face detection system as a college project using Python and OpenCV. Employed computer vision techniques and machine learning algorithms to detect faces in images and video streams. Developed a user-friendly interface and optimized the system for real-time performance. Successfully showcased the project at [mention any relevant event or competition
• Eye blink Detection : Led the development of an eye blink detection system as a college project using Python, OpenCV, and machine learning. Implemented algorithms to accurately detect and track eye blinks in real-time video streams. Utilized image processing techniques to analyze facial landmarks and determine blink occurrences. Demonstrated strong problem-solving skills and collaboration in achieving project objectives, contributing to its recognition at [mention any relevant event or competition.
• Churn Prediction using Machine Learning : Collaborated on a churn prediction project using machine learning during college. Employed Python libraries such as scikit-learn and TensorFlow to analyze customer data and predict churn behavior for a telecom company. Developed and fine-tuned predictive models using algorithms such as logistic regression and random forests. Achieved [mention any relevant performance metrics like accuracy or AUC score] through rigorous data preprocessing and feature engineering. Presented findings to faculty, demonstrating strong analytical and communication skills.
• Food Ordering Website : Spearheaded the development of a dynamic food ordering website as a key project during college. Utilized HTML, CSS, JavaScript, and PHP to create an intuitive and responsive user interface. Integrated a backend database system to manage menus, orders, and user accounts efficiently. Implemented secure payment gateways for seamless transactions. Collaborated with a multidisciplinary team to deliver a polished final product, showcasing strong teamwork and problem-solving abilities.

• Java Programming Language by Swayam
• Machine Learning Certification from Internshala
• R programming Language Certification from Internshala
• Python and cyber security & attacks certification from Courcera

• District Level Quiz Champion
• District Level Cricket Player
• As a Event Manager in DSW
• Football
• Sketching