Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Excel Dashboard
This analysis uses key performance indicators (KPIs) and visualizations to uncover sales insights. Metrics like Total Sales, Average Sales, Number of Items, and Average Rating were analyzed to assess the impact of fat content on sales, item type performance, and outlet segmentation by fat content. It also examined how outlet age, type, size, and location influence sales, providing a comprehensive breakdown of metrics by outlet type for actionable insights.
This project analyzes loan trends, regional patterns, and the impact of employment duration on loans. It also distinguishes between good and bad loans. Our goal is to enable data-driven decision-making for loan approvals and risk assessment.
By analyzing nutrition value of the food items by the MacDonald’s, it will be easier to the customer to plan their meal according to their requirement. This analysis report can attract to the customer who is very health conscious.
Worked on Atliq Mart's Supply Chain project, improved logistics, and created a userfriendly PowerBI Dashboard for real-time insights, demonstrating strong project management and analytical skills.
the goal of this project is to track current status of patient wait list and analyze historical monthly trend of waiting list also detailed analysis on the basis of speciality level and age profile and many more
This project showcases the effective utilization of data analysis, feature engineering, and machine learning techniques to solve a real-world forecasting problem. The insights gained from the analysis provide valuable information for decision-making within the retail industry.
This project aims to predict Big Mart sales prices utilizing the item outlet sales data. Through advanced analytics and machine learning techniques.
📧 Spam Email Detection App is a machine learning-based web application designed to classify emails as Spam or Not Spam using a trained model. This app helps users identify unwanted or malicious emails, protecting them from phishing attempts and spam messages.
Created a system to predict tweets about disasters using AI. This helps in early awareness and better response planning by identifying and categorizing relevant tweets quickly.
I wanted to create a practical tool that makes fitness routines simpler and exercise tracking more efficient. By leveraging technology, my goal was to accurately count push-ups, ensure proper form, and provide real-time feedback.
Below are the details to reach out to me!
Jaipur, Rajasthan, India