Md Parvez Rahaman

• Successfully completed intensive Data Analytics training on MedTourEasy’s learning platform, focusing on real-world business analytics tools and techniques.• Worked on a live healthcare-focused analytics project aligned with the cosmetic industry, involving analysis of chemical components in 1,400+ skincare products.• Constructed a content-based recommendation engine using a document-term matrix (DTM) and one-hot encoding strategy.• Utilized t-SNE for dimensionality reduction and Bokeh for interactive visualization of product similarity based on chemical composition.• Conducted product similarity comparisons based on ingredient vectors, enabling informed cosmetic recommendations for users with dry or sensitive skin.

• Assisted in building and maintaining data-centric web applications using Django and Python.• Applied data science principles to real-world projectsincluding data cleaning, preprocessing, and visualization.• Collaborated with the development team on planning, designing, and testing data-driven solutions.• Gained practical exposure to backend development and data integration pipelines.• Developed RESTful APIs to facilitate smooth data exchange between the frontend and backend components of the web applications.• Utilized libraries such as Pandas, NumPy, and Matplotlib to perform exploratory data analysis and generate actionable insights.• Implemented user authentication and database models, optimizing queries for better performance and scalability.