As a Data Scientist, I have conducted statistical analysis on customer data sets to identify trends, developed predictive models to forecast demand, analysed customer booking patterns, created a customer churn prediction model using machine learning, and employed natural language processing techniques to analyse customer reviews and sentiment. My work has resulted in a 30% increase in bookings from the leisure travel segment, a 12% reduction in customer attrition, actionable insights to drive strategic decision-making, and valuable feedback for service improvement.

As a Financial Data Analyst, my primary responsibilities include analysing businesses for valuations and acquisitions, extracting and analysing data from SQL databases, visualising financial data for management decisions, and managing and driving core finance processes. My achievements include reviewing business plans, validating and updating national public debt, cleaning and organising data for statistical analysis, and researching and analysing international financial markets and economic developments. I have used various tools such as R, Python, Tableau, PowerBI, Tally software, and spreadsheets to perform these tasks.

My responsibilities include filing and payments of taxes, preparing and updating cash flows, auditing financial transactions, and performing all accounting features. My achievements include streamlining filing and payments, collaborating in preparing cash flows, conducting financial transaction audits, and performing all accounting features. I have worked with multiple organisations to the federal inland revenue service, multiple hotels, real estate companies, and retail stores.