Aspiring Data Scientist with hands-on experience in Python, machine learning, deep learning, data analysis, and predictive modeling. Built end-to-end ML pipelines across preprocessing, EDA, feature engineering, model training, tuning, and evaluation.
Founded and maintain Dev Collaboration Hub, an open-source community focused on Python, backend development, AI, and system programming. Manage GitHub repositories, coordinate contributors, review code, plan project roadmaps, and develop open-source software.
Completed IBM SkillsBuild AI Fundamentals certification, covering Artificial Intelligence, Machine Learning fundamentals, Neural Networks, Data Analysis, Responsible AI, and real-world AI applications.
Cleaned and analyzed structured datasets, performed feature engineering and data preprocessing, built regression and classification models, visualized insights, and compared multiple machine learning algorithms.
Developed a deep learning pipeline for hyperspectral image classification. Processed thousands of hyperspectral image files, removed corrupted samples, built custom Dataset and DataLoader, and trained and evaluated models.
Built an end-to-end regression model to predict calorie expenditure. Performed data cleaning, preprocessing, feature engineering, exploratory data analysis, cross-validation, and hyperparameter tuning.
Disk I/O monitoring and optimization toolkit for analyzing disk bottlenecks and system performance.
