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@kavyagoswami
Dedicated educator with expertise in Computer Science and Data Analysis.
I am a dedicated and passionate educator with a strong foundation in Computer Science, aiming to contribute to academic excellence and student development as an Assistant Professor. My commitment to innovative teaching methodologies and fostering a positive learning environment drives my approach to education.
Currently, I teach Data Analytics at GL Bajaj Institute of Management and Technology, where I focus on practical applications and industry relevance. I have also taught Database Management Systems and Core JAVA at Meerut Institute of Engineering and Technology, developing course material and mentoring students in projects related to data visualization and machine learning.
With experience as a QA SDET Intern at RSA Security LLC, I conducted comprehensive quality assurance for mobile applications, ensuring functional accuracy and a seamless user experience. My projects, including air quality prediction and disease detection using machine learning, reflect my ability to apply theoretical knowledge to real-world challenges.
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Work history, roles, and key accomplishments
GL Bajaj Institute of Management and Technology
Jan 2025 - Present (10 months)
Taught Data Analytics to undergraduate students, focusing on practical applications and industry relevance. Mentored students in applying analytical techniques to real-world datasets, fostering skills in data preprocessing, visualization, and statistical analysis.
Meerut Institute of Engineering and Technology (MIET)
May 2024 - Jan 2025 (8 months)
Taught Database Management Systems (DBMS) and Core JAVA to undergraduate students, developing course material and conducting lectures. Mentored students for projects and research in areas such as data visualization and machine learning.
RSA Security LLC
Sep 2022 - Aug 2023 (11 months)
Conducted comprehensive Quality Assurance for the SECURID Authenticator App on Android and iOS platforms, ensuring functional accuracy, security, and a seamless user experience. Designed and executed detailed test plans, test cases, and test scenarios, aligning with SDLC and Agile methodologies, and performed defect tracking using Jira and HP ALM.
Degrees, certifications, and relevant coursework
M.Tech, Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Grade: 9.00
Completed a Master of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, achieving a GPA of 9.00.
B.Tech, Computer Science Engineering
Grade: 8.1
Earned a Bachelor of Technology in Computer Science Engineering, maintaining a GPA of 8.1.
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