A skilled Data Analyst and Data Scientist with 5 years of experience leveraging Power BI, SQL, and Python to drive insights and enhance decision-making. I have a strong foundation in data analysis, predictive modeling, and machine learning, with hands-on experience in a variety of projects. These include audit analytics to ensure compliance and uncover anomalies in financial data, predictive learning models to forecast trends and behaviors, and image analytics techniques to extract valuable insights from visual data. I combine technical expertise with business acumen to turn complex datasets into actionable solutions, helping organizations achieve their strategic goals.In addition to my analytical experience, I have a solid understanding of Azure technologies, bolstered by certifications in DP-900 (Microsoft Azure Data Fundamentals), AI-900 (Microsoft Azure AI Fundamentals), and PL-300 (Microsoft Power BI Data Analyst). These certifications have equipped me with comprehensive knowledge of Azure’s cloud services, data management, and AI tools, as well as proficiency in Power BI for creating impactful data visualizations and reports. I also possess a strong foundation in statistical analysis for Data Science, including techniques like hypothesis testing, regression analysis, and probability theory, which I apply to extract insights and build robust models that drive business decisions.Key Projects:Audit Analytics: Developed SQL scripts and dashboards in Power BI to track financial transactions, identify discrepancies, and optimize and automate audit processes in CCM (Continuous Control Monitoring) tool.Predictive Learning: Built machine learning models using Python to predict customer behavior, and market trends, leading to more accurate forecasts.Image Analytics: Developed an image analytics audit project using Python and computer vision techniques to identify and flag duplicate bills by extracting and comparing key data points from scanned invoice images.