TAPAS PRADHAN

Results-driven B.Tech candidate in Computer Science with a strong passion for network engineering and proven leadership skills. Equipped with a solid foundation in software development principles and an eagerness to apply technical expertise to enhance innovative projects. Aiming to contribute effectively to a dynamic team and drive technological advancements.

Leave Management System, Personal Project, HTML, CSS, React, JavaScript, Designed a Leave Management System utilizing Machine Learning and Random Forest algorithm to accurately forecast future employee absences, optimizing workforce planning and productivity. This system effectively streamlines resource allocation and enhances operational efficiency.  

DIABETES PREDICTOR

 Group Project, HTML, CSS, React, JavaScript, Engineered a Diabetes Predictor employing Machine Learning and K-Nearest Neighbors (KNN) algorithm to discern individuals at risk of diabetes. Achieved high accuracy in classification, facilitating early intervention and personalized healthcare strategies.

Making of Personal Portfolio, Personal Project, Developed a responsive personal portfolio website to showcase professional skills, projects, and contact information. This project demonstrates proficiency in front-end web development and design principles. HTML5, CSS3: Structured the content and layout of the website, ensuring a cohesive and visually appealing design.

• Certified in Machine Learning through intensive Udemy certificate course.
• Cisco certified in complete of course Cybersecurity and CCNA Essentials.
• Certified in Linux through NYTT.
• Participated in a two-day Data Science and its Applications workshop organized by SOA University.
• Two-day workshop in Remote sensing and their application organized by SOA University.
• certified in digital Marketing through in internshala.