Haji Mohammed Suhail

3+ years of experience as a Data Analyst with hands-on expertise in developing data pipelines, performing statistical analysis, and creating dynamic visualizations. Proficient in Python, SQL, R, and data visualization tools such as Power BI and Tableau. Expertise in cloud platforms including AWS (Redshift, DynamoDB, S3, Athena) for building scalable data solutions. Strong background in machine learning techniques, including Decision Trees, Random Forest, and KNN for predictive analytics and fraud detection. Skilled in ETL processes using tools like Apache Airflow, Talend, and dbt to automate and streamline data workflows. Experience in designing and implementing real-time data pipelines to process large datasets, ensuring data integrity and compliance. Proven ability to deliver actionable insights by transforming complex data into intuitive dashboards using Power BI, Tableau, and Excel. Strong understanding of financial reporting, healthcare compliance, and risk management systems with a focus on HIPAA, EMR, and fraud detection. Collaborative team player with experience working in Agile (Scrum) environments to meet project milestones and business goals. Insightful Business Analyst known for high productivity and efficient task completion. Possess specialized skills in data analysis, process improvement, and project management. Excel in critical thinking, communication, and problem-solving to deliver effective solutions. Committed to leveraging these abilities for success in challenging business environments.