Every day is learning
Passionate Data Analyst & Aspiring Data Scientist | Python Enthusiast | Analytics & Insights Maven | Actively Seeking New Opportunities
Futher Me
keep learning, stay focused
An Azure OpenAI-based AI chatbot that helps verify facts and answer data-driven questions. This project was built using Azure services and can be accessed via the demo link below (30-day free trial).
Have you ever wondered why some advertisements effortlessly catch your eye, while others go unnoticed? This project delves into the intricacies of digital marketing, uncovering what makes campaigns successful. We’ll assist you in identifying your most valuable audience segments and optimizing your sales funnel, guiding you toward maximizing your marketing ROI
Heart disease is still a significant global threat, and early detection is essential for saving lives. In this project, we developed a prediction model based on machine learning that aids healthcare providers in quickly and accurately identifying high-risk patients, allowing for more timely and effective treatment
Analytics for sales and shipping data can have a tremendous impact on businesses, organizations, and society. We can raise profitability, improve customer satisfaction, create new opportunities, and boost overall economic well-being by enhancing supply chain efficiency
In today's health-conscious society, it's more important than ever to understand the factors that contribute to medical expenses. This analysis shows how everyday decisions—such as smoking and body mass index (BMI)—play a significant role in healthcare costs, emphasizing the necessity for focused prevention and education for those at higher risk.
This project explores Olist's e-commerce operations, providing valuable insights into customer behavior and sales trends. Through data analysis, we uncover strategies—such as emphasizing popular electronics and fine-tuning pricing—that can effectively drive Olist's growth and enhance revenue in key regions like São Paulo.
This fascinating project focuses on building a simple cashier program with the Python programming language. We will explore programming while tackling the common challenge of managing transactions in a store or minimarket. The project will establish a workflow to calculate total purchases, log purchased items, apply discounts, and handle various transactions.
Amazon is one of the world's major e-commerce platforms. With thousands of products sold every day and customers from all over the world, I feel that examining Amazon sales data will provide deep insights into industry patterns that will assist us in identifying viable business prospects
