● Designed and implemented data preprocessing workflows for a dataset of 1,000+ cricket players using Python and SQL,ensuring high data quality and accuracy to support business insights and analytics.● Analyzed player performance trends by building a Random Forest model with over 85% accuracy, delivering actionable insightsfor decision-making and strategy refinement.● Conducted Exploratory Data Analysis (EDA) using Pandas, Matplotlib, and SQL, uncovering key patterns and trends to supportdata-driven decisions and reporting.● Ensured data integrity and reliability by automating data validation processes using Python and SQL, enabling accurate insightsfor analytical and business operations.