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MEZBAN SANADI's Projects

customer-service-requests-analysis. icon customer-service-requests-analysis.

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.

healthcare-insurance-analysis icon healthcare-insurance-analysis

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

loan-portfolio-analysis-and-communication icon loan-portfolio-analysis-and-communication

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.

mercedes-benz-greener-manufacturing icon mercedes-benz-greener-manufacturing

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.

real-estate. icon real-estate.

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.

scienceqtech-employee-performance-mapping. icon scienceqtech-employee-performance-mapping.

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.

worldwide-restaurant-analysis-for-zomato icon worldwide-restaurant-analysis-for-zomato

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.

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