Summary
Currently developing a comprehensive hospital website and dashboard solution.
Highlights
Building a demo hospital website and dashboard, gaining hands-on experience in end-to-end web application development.
Utilizing ASP.NET for backend logic, MySQL and MongoDB for robust data management, and JavaScript, HTML, and CSS for dynamic and responsive user interfaces.
Summary
Focused on Natural Language Processing (NLP) and advanced ensemble machine learning methods.
Highlights
Developed an intent and sentiment analysis system for over 50,000 YouTube comments, employing text classification techniques.
Gained practical experience in various ensemble methods, including bagging, boosting, stacking, and random forests, to enhance model performance.
Summary
Received intensive training and practical exposure to foundational Python libraries for data science and machine learning.
Highlights
Trained extensively on key Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn for data manipulation, visualization, and machine learning.
Applied web scraping and Exploratory Data Analysis (EDA) techniques to acquire and prepare data for analytical models.
Fluent
Native
Proficient
Python, JavaScript, SQL, HTML, CSS.
MongoDB, MySQL.
Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn.
Power BI, Matplotlib, Seaborn.
Machine Learning, Natural Language Processing (NLP), Exploratory Data Analysis (EDA), Web Scraping, Full Stack Development (.NET), Text Classification, Ensemble Methods (Bagging, Boosting, Stacking, Random Forests).