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Surajit Singha

Surajit Singha

To be involved in an environment where I can utilize my skills, creativity and get involved with the system in order to effectively contribute to the ... View More

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PRAKRITI GUPTA

Passionate Software Engineer with 4 years of experience in Full Stack Development

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AMRENDRA SINGH

Software Professional having sound knowledge of JAVA/J2EE based back-end application development and design. Seeking full-time position that offers pr... View More

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PRAJJWAL PATEL

Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and ach... View More

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Sameer Shrivastava

Aspiring software engineer with moderate experience in building web and mobile applications. Passionate about developing projects by using front-end d... View More

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Priyanka Sukre

Detail-focused Data Analyst with in business needs analysis. Proven to understand customer requirements and translate into actionable project plans. D... View More

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VAIBHAV KUMAR

VAIBHAV KUMAR

Accomplished Senior Software Engineer versed in multiple programming languages and development frameworks. More than 6 years of software development e... View More

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Somesh Sharma

Senior Software Developer with 7+ years of experience in building and improving backend systems. I enjoy solving real-world problems, optimizing perfo... View More

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Harshit Goyal

Harshit Goyal

Recent graduate with foundational knowledge in computer engineering with hands-on experience gained through academic projects and internships. Known ... View More

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Mehak

Dynamic professional with a strong work ethic and exceptional interpersonal skills, adept at mastering new challenges independently. Proven ability to... View More

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Certifications

  • EMPLOYEE MANAGEMENT SYSTEM| JAVA PROJECT It is an desktop based system used to handle the employee's details of an organisation. In this CRUD operations are performed using java and swing. https://github.com/shivani020/Employee_management_SystemFOOD RECOMMENDATION SYSTEM| MACHINE LEARNING PROJECT Developed a content-based recipe recommendation system that suggests recipes based on user-input nutritional values and ingredients.
  • Applied TF-IDF vectorization to process ingredient text data and K-Nearest Neighbors (KNN) for similarity-based recommendations.
  • Preprocessed and normalized nutritional features (calories, fat, carbohydrates, protein, etc.) using StandardScaler for improved model performance.