- Developed Python ETL scripts leveraging Pandas and NumPy libraries to automate data extraction, transformation, and loading processes, reducing manual effort by 50%.- Conducted thorough data cleaning and preprocessing tasks to ensure data integrity and accuracy, resulting in a 10% improvement in data quality metrics.- implemented advanced data modeling techniques to structure and organize raw data effectively, optimizing data retrieval and analysis processes… Show more - Developed Python ETL scripts leveraging Pandas and NumPy libraries to automate data extraction, transformation, and loading processes, reducing manual effort by 50%.- Conducted thorough data cleaning and preprocessing tasks to ensure data integrity and accuracy, resulting in a 10% improvement in data quality metrics.- implemented advanced data modeling techniques to structure and organize raw data effectively, optimizing data retrieval and analysis processes, resulting in a 3% reduction in data processing time.- Collaborated with cross-functional teams to define data transformation requirements and implemented solutions to meet business objectives, resulting in a 14% increase in efficiency in data transformation processes.- Utilized SQL queries to extract, manipulate, and analyze data from relational databases, enabling streamlined access to critical information and insights.- Leveraged Power BI to visualize and communicate key insights derived from data analysis, facilitating data-driven decision-making processes for stakeholders.- Collaborated closely with a telecom client to analyze sales data, identify trends, and develop targeted strategies, resulting in a 5% increase in sales revenue within a specified timeframe.- Managed secure file transfers using SFTP protocols, ensuring the confidentiality and integrity of data exchanged between systems, achieving a 15% improvement in data security measures. Show less

- Utilized SQL queries and Pandas for data analysis to develop an authenticated podcast, resulting in a 25% increase in audience engagement.- Employed Power BI for visualizing data metrics, contributing to a 18% improvement in lead generation targeting Fortune 2000 CXOs.- Managed global client relations, using VLOOKUPs and data analytics to achieve a 12% increase in client retention rates.- Engaged C-level executives globally, leveraging Power BI and Pandas… Show more - Utilized SQL queries and Pandas for data analysis to develop an authenticated podcast, resulting in a 25% increase in audience engagement.- Employed Power BI for visualizing data metrics, contributing to a 18% improvement in lead generation targeting Fortune 2000 CXOs.- Managed global client relations, using VLOOKUPs and data analytics to achieve a 12% increase in client retention rates.- Engaged C-level executives globally, leveraging Power BI and Pandas insights to achieve a 28% increase in podcast reach and influence. Show less