MEZBAN SANADI

This project predicts healthcare costs and identifies contributing factors using data analysis, machine learning, and SQL data management.

This project creates a statistical model to predict demand for loans in each region of the USA based on monthly family income and rental costs. The results are displayed on a dashboard updated periodically with data retrieval.

Analyzed Zomato's restaurant data to reveal global insights, highlighting continent-wise restaurant counts, average costs, and ratings. Also, identified country-level cuisine counts to enhance Zomato's data-driven decision-making.

Reviving AtliQ Grands with data.

Predicting Sales and Demand of Walmart Data

This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

Perform data analysis of service request (311) calls from New York City. I have utilized data wrangling techniques to understand the pattern in the data and visualize the major types of complaints.

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

Generating reports on employee details, their performance, and on the project that the employees have undertaken, to analyze the employee database and extract specific data based on different requirements.

Use Excel to analyze the sales based on various product categories and create the Dashboard using the sales and working data.