MezbanS
As a professional with a master's program in Data Science, I offer a strong background in analyzing complex datasets and extracting valuable insights.
Belagavi
Pinned Repositories
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.
Designing-a-Sales-dashboard-in-Excel
Use Excel to analyze the sales based on various product categories and create the Dashboard using the sales and working data.
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
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
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.
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.
Retail-Analysis-with-Walmart-Data
Predicting Sales and Demand of Walmart Data
Revenue-Insights-Hospitality-Domain
Reviving AtliQ Grands with data.
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
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.
MezbanS's Repositories
MezbanS/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.
MezbanS/Retail-Analysis-with-Walmart-Data
Predicting Sales and Demand of Walmart Data
MezbanS/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.
MezbanS/Healthcare-Insurance-Analysis
This project predicts healthcare costs and identifies contributing factors using data analysis, machine learning, and SQL data management.
MezbanS/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.
MezbanS/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.
MezbanS/Revenue-Insights-Hospitality-Domain
Reviving AtliQ Grands with data.
MezbanS/Designing-a-Sales-dashboard-in-Excel
Use Excel to analyze the sales based on various product categories and create the Dashboard using the sales and working data.
MezbanS/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.
MezbanS/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.