Tanisha Dey

As a budding Software Developer with a solid foundation in computer science, I bring a range of skills and a passion for problem-solving that make me an excellent fit for an SDE Summer Intern role. Currently pursuing a degree in BE Information Science, I am eager to apply my classroom learning in a practical setting. My skills include proficiency in programming languages such as Java, C++, C, Python understanding of data structures and algorithms, and a keen interest in software development. During my academic journey, I have successfully completed projects that involve the use of tech stacks such as HTML/CSS, React, JavaScript, NodeJS, MongoDB, ExpressJS, Machine Learning. I also have proficiency in Operating Systems, DBMS, Computer Networks, Object Oriented Programming. I am excited about the opportunity to contribute to a dynamic team and further develop my coding abilities. Through my coursework and personal projects, I have cultivated a strong analytical mindset and attention to detail, ensuring that the software solutions I create are both efficient and effective. While my professional experience may be limited, my enthusiasm to learn and my dedication to producing high-quality code make me a promising candidate for an Intern role. I am confident that my adaptability and commitment to continuous learning will allow me to quickly contribute to your team's success. In summary, I am a motivated and ambitious individual with a foundation in software development and a strong desire to grow within the industry. I am excited about the prospect of contributing my skills to a dynamic team and gaining valuable real-world experience as an Summer Intern.

Solved 400+ problems on LeetCode

Contest Rating Till Date-1473

Machine Learning Specialization,Coursera

• Date of Birth: 08/14/2002
• Gender: Female
• Nationality: India
• Marital Status: Single

E-Commerce Application

Created a Full-Stack E-Commerce application using MERN stack.It is built with CRUD operations for the products and categories.

Designed with intuitive navigation,seamless interactions for enhanced user experience and satisfaction.

Plant Disease Detection System

Created a Plant disease detection system using Machine learning and Deep Learning algorithms.

Created a responsive webpage for the same application so that the user can check with the images of the plant and know about the disaese.

Facial Emotion Recognition System

Can recognize the emotion of a person by the facial image and make predictions