Developed an interactive Power BI dashboard using HR attrition data to analyze key HR metrics like job involvement, satisfaction, salary, and experience, incorporating various visual tools and dynamic features for enhanced user exploration.
Utilized Power Query to clean and transform data, created calculated columns and measures for analysis, and provided insights into top-selling products, operational area impact, and marketing campaign effectiveness, while forecasting weekly orders for inventory management and enhancing user experience with slicers and buttons in Power BI.
Developed and deployed a content-based movie recommendation system using the TMDB dataset, applying data preprocessing, feature engineering, and vector similarity techniques, and created an interactive Streamlit website that recommends movies based on user input with visual movie posters.
Developed an interactive Streamlit web application for laptop price prediction, utilizing data pre-processing, feature engineering, and various ensemble machine learning models, with the Voting Regressor achieving an R2 score of 89% and MAE of 0.15%, providing users with an intuitive interface for price forecasting.
Developed a computer vision solution for energy conservation in underground parking lots using OpenCV to detect vehicle movement and activate lights accordingly, with a working prototype built using Arduino and PyFirmata, and proposed future enhancements for portability.
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DataGlide is a blog for data enthusiasts who live and breathe data!
Here you will find articles related to each and every titbit of data science like comprehensive roadmaps for learning statistics, curated lists of resources, must-know insights for data science, and more...
This blog is a humble effort to make data science more intriguing and engaging for newbies!
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