•Utilized SQL queries for data extraction, transformation, and loading process, ensuring efficient and structured datasets.•Conducted comprehensive data analysis to uncover patterns and trends, employing advanced statistical techniques, and enhanced insights using Microsoft Excel.•Applied data analysis techniques with precision to find and interpret meaningful insights, providing valuable information for decision-making.•Designed, developed, and rigorously tested new reports and dashboards, showcasing proficiency in Microsoft Excel, Power BI for effective visualization.•Developed and deployed statistical models for credit risk assessment, achieving an 87% accuracy in risk classification.• Utilized advanced algorithms (XGBoost, Random Forest) to optimize model performance and minimize false positives in credit risk prediction.

• Leveraged machine learning techniques to analyse customer purchasing behaviour and predict trends, contributing to 14% increase in sales. • Collaborated with cross-functional teams to pre-process and cleanse large datasets, ensuring data quality for accurate model training. • Developed recommendation systems, enhancing personalized product suggestions, and driving 17% growth in customer engagement. • Implemented demand forecasting models, optimizing inventory management, and reducing stockouts by 12%. • Presented actionable insights to stakeholders using data visualizations, enabling informed decision-making and strategy development.

• Enhanced data accuracy by 15% and project efficiency by 10%, meeting client needs through proficient utilization of ETL and SQL processes.• Presented actionable insights from Google Analytics, boosting website traffic by 20%.• Developed a Python API script linking Facebook Ads, Google Ads, and third-party websites. Automated JSON data to a database, facilitating CSV reports for stakeholders with proficiency in Python and advanced Excel.• Applied machine learning to optimize digital marketing campaigns. • Analysed large datasets and created real-time reports and interactive dashboards using advance Excel, Power BI, and Tableau, providing KPI’s key information for informed decision-making.• Established workflow for team troubleshooting and skill development. • Demonstrated proven problem-solving abilities, successfully identifying, and resolving complex data-related issues with a proactive approach in fast paced environments.