Maria Rahman

I am a near-final-year Electronics and Communication Engineering student at KUET with a strong academic record (CGPA 3.70) and hands-on experience in machine learning, NLP, data science, and embedded signal processing. I build end-to-end systems—from data collection and preprocessing to model evaluation and deployment—and communicate results clearly.

I have developed and deployed a Movie Review Sentiment Analyser that achieved 88.47% accuracy using spaCy, TF-IDF, and Logistic Regression, and a real-time Parkinson's tremor suppression wearable combining dual IMU sensors, Butterworth bandpass filtering, state-machine logic, and vibrotactile output. I also performed a comparative study of classification algorithms for breast cancer diagnosis, evaluating clinical tradeoffs like false-negative minimization.

I work well in remote teams, am a self-directed learner who goes deep into problems, and am seeking an AI internship where I can take on real responsibilities, contribute to impactful projects, and accelerate my growth in applied ML and embedded systems.