Saifallah Parkar

Highly motivated and detail-oriented recent graduate with a Master's degree in Data Analytics, specializing in data analysis, machine learning, and visualization. Proficient in key analytical tools, including SQL & Python, with practical experience gained through internships and academic projects. Adept at using Excel, Tableau, and Power BI for data manipulation, visualization, and reporting. A solid foundation in statistical analysis, machine learning, and data-driven decision-making. Eager to contribute to a dynamic team and support data-driven business strategies.

 Industry Project: 

• First-mile pickup enhancement forecasting using Tableau

Leveraged first-mile pickup data to create a robust forecast aimed at enhancing operational efficiency. Utilized Tableau to conduct detailed data analysis and visualization, identifying key patterns and trends. Developed forecasts that supported effective resource allocation, route optimization, and demand prediction, leading to a more streamlined first-mile pickup process.

Academic Project: 

• Data Warehousing for Formula 1 dataset

Designed and developed a star schema for a data warehouse using SQL Server. Utilized SQL Server Integration Services (SSIS) to populate the data warehouse efficiently. Created comprehensive reports using SQL Server Reporting Services (SSRS) to provide valuable insights. Implemented a Neo4j database to compare and analyze the performance of SQL and Cypher Query Language (CQL) queries.