Muhsina Tarannum

I am a passionate computer science graduate with a Bachelor of Science in Computer Science & Engineering from Metropolitan University, where I achieved a CGPA of 3.56. My journey in technology has been marked by a commitment to continuous learning and practical application of skills, particularly in the realm of data science and machine learning.

During my tenure as a Research Intern at OpenGenus Foundation, I delved into various computer science topics, enhancing my technical writing and problem-solving abilities.

I successfully developed Python-based projects, including a Handwritten Character Recognition System with an accuracy of 87%, a News Sentiment Analysis comparing the results of four NLP models, and Stock Market Future Return Prediction using ensemble learning, which allowed me to apply theoretical knowledge to real-world challenges.

My recent role as an Admission Support Officer at YES has further honed my interpersonal and organizational skills, enabling me to manage multiple client cases effectively.

I am eager to leverage my skills in Python, machine learning, and data analysis in a dynamic work environment where I can contribute to innovative projects and continue to grow professionally.