Deposit data, identifying patterns, trends, and correlations for optimizing deposit strategies. I applied extensive industry knowledge in financial services, specifically banking, and investments, to inform data analysis and recommendations. Successfully worked with large datasets, including analyzing millions of rows of data from multiple countries and optimizing processing time using the Python libraries Proficiently handled and managed massive datasets for advanced analytical processes, leveraging expertise in data science tools and contributing to the entire project lifecycle. I am skilled in time-series analysis and predictive modelling using R and Python, specializing in addressing big data challenges such as predictive analytics and fraud Detection, customer segmentation, and marketing campaigns.