Hi I'm Sansheya As a budding engineer with creative thinking and developing skills, along with a passion for implementing and launching new projects, I bring a strong foundation in design and integration with intuitive problem-solving abilities. I am now seeking to commence my career as an entry-level software engineer with a reputed firm driven by technology..
"I bring innovative ideas to web design, creating visually stunning and user-friendly pages."
"As a UI/UX designer, I craft intuitive and engaging user interfaces that enhance the overall user experience."
"As a full stack developer, I build seamless solutions using both front-end and back-end technologies."
"Skilled in team collaboration, I excel at creating cohesive projects that leverage diverse talents and perspectives."
"Strong communicator with a proven ability to clearly convey ideas and collaborate effectively with team members."
"Quick learner with a proven ability to rapidly adapt to new technologies, ensuring continuous improvement and efficiency."
"Proficient in web development, UI/UX design, and full stack solutions, with strong skills in team collaboration, communication, and rapid learning of new technologies."
Loyola Icam College Of Engineering And Technology
Chennai
CGPA : 8.5
SRV Mat Hr Sec School
Trichy
Percentage : 67%
St Michael's Academy
Chennai
Percentage : 87%
Collaborated with internal teams (Design, SEO) to launch web pages live and analytics tools exploration. Developed integrations: Google chat bot for Leave Tracking and set up emails and newsletters for various campaigns. Involved in UI/UX optimizations, code audits, performance profiling, and refactoring to enhance website functionality
Created CRM application using React.js, Redux, and Node.js for real- time appointment management, facilitating messaging via WebSockets and push notifications using Firebase Cloud Messaging Enhanced SMS notification/offer system and Integrated using Twilio API for SMS delivery Developed front end implementation for the entire project
Created a Music Face Recognition app using Machine Learning Python as an Intern