Sajeena Malla Thakuri
@sajeenamallathakuri
Motivated Computer Systems Engineering student passionate about AI and data science.
What I'm looking for
I am a BSc (Hons) Computer Systems Engineering student with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. My academic journey has equipped me with a solid foundation in programming and data analysis, and I am eager to apply my knowledge in real-world scenarios. I have a passion for exploring AI-driven solutions and am committed to expanding my technical expertise.
During my recent internship as an Admissions Data Coordinator, I utilized my IT skills to manage student databases, ensuring data accuracy and security. I assisted in automating application processing and document verification, which enhanced workflow efficiency. Additionally, I have developed several projects, including a Patient Readmission Prediction Model and an E-commerce platform for local artisans, showcasing my ability to apply machine learning techniques and web development skills effectively.
Experience
Work history, roles, and key accomplishments
Admissions Data Coordinator
Franklin Education Consultancy
Jan 2023 - Jun 2023 (5 months)
Managed student databases, ensuring data accuracy and security through IT skills. Automated application processing, document verification, and workflow optimization. Provided technical support for digital record-keeping systems, enhancing efficiency through IT-driven solutions.
Education
Degrees, certifications, and relevant coursework
ISMT College
BSc (Hons) Computer Systems Engineering, Computer Systems Engineering
Currently pursuing a BSc (Hons) in Computer Systems Engineering with a strong focus on Artificial Intelligence, Machine Learning, and Data Science. Developing skills in programming and data analysis, with a passion for exploring AI-driven solutions.
Ex-Army Public Secondary School
SEE
Completed SEE at Ex-Army Public Secondary School.
Global Collegiate School
12th Grade, Science Stream
Completed 12th Grade with a focus on the Science Stream.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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