Saika Parvin
@saikaparvin
MCA student skilled in Python, Java, AI/ML, and web development, passionate about software development and problem-solving.
What I'm looking for
I am currently pursuing MCA from University of Calcutta after completing my B.Sc. in Computer Science from Raja N.L. Khan Women's College. I am interested in Software Development, AI/ML, and DevOps technologies. My skills include Python, Java, C, JavaScript, MySQL, Docker, Jenkins, Kubernetes, HTML, and CSS. I have worked on projects like a Weather Prediction System using TensorFlow and an E-Tourism website. I am passionate about learning new technologies, problem-solving, and building real-world applications.
Experience
Work history, roles, and key accomplishments
AI & Machine Learning Intern
Edunet Foundation
Dec 2025 - Jan 2026 (1 month)
Selected for an AICTE-focused internship covering artificial intelligence and machine learning. Worked on real-world problem statements under mentor guidance and completed required project submission and presentation for certification.
Machine Learning Intern
Prodigy InfoTech
Aug 2025 - Present (9 months)
Developed supervised and unsupervised machine learning models using Python and scikit-learn. Implemented Linear Regression and K-Means clustering, including data preprocessing, feature analysis, and model evaluation.
Education
Degrees, certifications, and relevant coursework
University of Calcutta
Master of Computer Applications (MCA), Computer Applications
2024 -
Master of Computer Applications (MCA) program (ongoing) at the University of Calcutta.
Raja N. L. Khan Women’s College
Bachelor of Science (B.Sc.), Computer Science
2020 - 2024
Activities and societies: Projects: Hand Gesture Recognition System (CNN, TensorFlow); AI Study Buddy (NLP, Streamlit, Flan-T5); YatriSathi e-tourism website (HTML, CSS, JavaScript).
B.Sc. in Computer Science at Raja N. L. Khan Women’s College, completed in 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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