Experienced in transforming operational, supply chain, and inventory datasets into actionable insights, supported by hands-on industry roles achieving 99% inventory accuracy, 98% on-time production scheduling, and significant stock reduction efficiencies.

Skilled in predictive modelling, time series forecasting, data visualization, and end-to-end project execution using tools such as Pandas, Scikit-Learn, Tableau, and Streamlit. Complemented by a Full Time Data Science Bootcamp at Hacktiv8 and multiple real-world projects involving web scraping, forecasting, and productivity prediction. Adept at problem-solving, data-driven decision making, and cross-functional collaboration.