Machine Learning Researcher
I am a Computer Science and Engineering graduate with a strong foundation in machine learning, deep learning, natural language processing (NLP), and IoT security. Over the past few years, I’ve worked on a variety of real-world and research-based projects that involve predictive modeling, anomaly detection, image classification, and text analysis. My experience includes building robust ML pipelines using algorithms like Logistic Regression, XGBoost, KNN, and Random Forest, often combined through ensemble techniques for optimal performance. I’ve also applied dimensionality reduction techniques like PCA to enhance model efficiency and clarity.
Some of my key projects include IoT attack classification using ensemble models on the CIC IoMT and RT-IoT2022 datasets, a real-time cigarette detection system using YOLOv8 with custom-labeled data, and cyberbullying detection using NLP techniques such as TF-IDF, n-grams, and sentiment analysis. I’ve developed full-stack applications like an expense tracker and a TODO app using React, Express, and MongoDB. Additionally, I’ve explored online transaction fraud detection, emphasizing both accuracy and computational performance by reducing features and applying lightweight models.
Alongside my technical work, I’ve contributed as a research paper reviewer for the International Journal of Computing and Digital Systems and participated in three ICPC regional contests. I also worked as a Python programming instructor, which strengthened my ability to communicate complex technical concepts clearly. I hold a professional certificate in deep learning for image classification using CNNs in Python from Udemy. With a passion for clean, efficient solutions and a strong academic background, I’m confident in my ability to deliver high-quality work tailored to your needs.
Work Terms
✅ IoT Attack Detection using ML & Ensemble Models
✅ Dimensionality Reduction & Feature Engineering (PCA)
✅ NLP Tasks: Text Classification, Sentiment Analysis, N-gram, TF-IDF
✅ Object Detection using YOLOv8 (custom datasets)
✅ Full-Stack Web Development with React, Express, and MongoDB
✅ Python Automation & Data Analysis Scripts
✅ Research Writing (IEEE Format) and Literature Review
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