Designed and deployed data pipelines using Python, enhancing datacollection strategies and contributing to a 10% increase in dataaccuracy for analysis purposes.Project- Sales Forecasting- For predictive modeling, libraries like scikit-learn are used, python libraryStock market analysis- The skills demonstrated in this project include Python, API integration, database connction, flask,cors .Billing Project- For calculating bill using database - mysqlDeveloped a predictive analytics model using scikit-learn whichinformed business decisions, resulting in a 5% lift in sales forecastsaccuracy

Leveraged SQL to extract and analyze large data sets, improving dataanalysis efficiency by 20%Executed ad-hoc queries and created reports that provided criticaldata for business decisionsStreamlined the data collection process, increasing data quality andreducing errors by 10%.Project-Customer Segmentation with PythonThe skills demonstrated in this project include Python, unsupervised machine learning, and data analysis.

Implemented SQL Server Reporting Services (SSRS) improving reportgeneration by 40%Optimized database systems resulting in a 30% improvement insystem responsiveness and speedUsed advanced SQL techniques to manipulate large databases,improving data management efficiency by 25%Enhanced database schema resulting in a 20% increase in queryprocessing time efficiency.ProjectText to Speech- skills used Espeak, Eempeg to get the desired result.Inventory Management- project focuses on inventory management, covering essential SQL concepts such as foreign keys, joins, and aggregate functions, and managing a more business-oriented database scenario.

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