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The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!
Explore the captivating world of retail data analysis! In this series, we dive into Supermarket Sales Analysis using Python to uncover fascinating insights and trends hidden within the data.
This project automates certificate generation, benefiting organizations by reducing manual effort and ensuring formatting consistency. Utilizing PIL and pandas for data manipulation, alongside font customization, it streamlines issuance. Developed in Python, it offers an efficient, versatile solution for certificate creation.
This report presents a detailed analysis of an online sport retail business, focusing on revenue metrics, product performance, customer engagement, pricing strategy, brand analysis, and seasonal trends. Through Python and SQLite, various aspects of the business were examined and revealing key insights into revenue generation.
Discover the multifaceted aspects of employment at the University of Massachusetts Boston through an in-depth data analysis. Dive into salary distributions, performance evaluations, staffing structures, additional pay impacts, and engagement metrics to gain a comprehensive understanding of the university's employment landscape.
I studied the crops area, production and yield in different districts of West Bengal from 1966 to 2017. I also looked into the prices of harvested crops during this period.
This project offers a concise yet comprehensive exploration of over a century’s worth of the prestigious chess event. Covering key players, memorable matches, and various openings, it seeks to provide chess enthusiasts, historians, and casual observers alike with a deeper understanding and appreciation of the world of chess.
This project utilizes Python and various libraries like pandas, matplotlib, and seaborn to examine hotel booking cancellations and other unrelated factors. The aim is to boost revenue generation efficiency and provide valuable business recommendations.
Explore the intersection of SQL and Data Science with my collection of hands-on projects. From analyzing large datasets to extracting insights, dive into real-world examples that showcase the power of SQL in data manipulation and analysis.
Exploring the legacy of Walt Disney Studios, this project dives into a dataset of 579 films dating back to the inaugural "Snow White and the Seven Dwarfs" in 1937. Our analysis aims to uncover the factors contributing to the success of Disney movies, utilizing data compiled by Kelly Garrett.
This Python script automates data updating in TLD-CRM by scraping information from the CMS portal, handling Azure Key Vault authentication, and utilizing web interactions, API requests, and email notifications.
Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.