• Develop interactive data visualizations and dashboards using Excel, Power BI, Tableau, and Python, for story telling, enhancing data comprehension for stakeholders.• Analyze large datasets with VLOOKUP, pivot tables, advanced excel formulas and Databricks, identifying trends and patterns that drove business strategy, and performed ETL tasks with SQL, improving data mining, data integration and reducing processing time by 25%.• Create web application components using HTML, CSS, and JavaScript, enhancing user experience and functionality, while transforming data into actionable insights for informed decision-making.• Utilize Python libraries for model training and evaluation, improving prediction accuracy by 15%, and deploy applications on cloud infrastructure, ensuring scalability and security.• Design data pipelines using Azure Synapse Analytics, streamlining data processing, and develop web-based dashboards to provide real-time analytics.• Lead and collaborate effectively with cross-functional teams to ensure data quality and accuracy, and communicate effectively with clients to understand their needs and provide tailored solutions.

• Evaluated and analyzed potential risks associated with asset and liability insurance applications with SQL and Excel.• Assessed the probability and potential impact of various risks on the insurer's portfolio.• Collected and interpreted data from multiple sources to identify trends and patterns with Tableau and Python.• Used statistical programming to model risk scenarios and predict potential losses.• Assisted in the development of underwriting policies and guidelines.• Recommended pricing for insurance policies based on risk assessments.

• Developed and applied advanced statistical methods, including machine learning and AI to uncover patterns in large health data sets, improving data-driven insights for public health.• Collaborated with statisticians, engineers to create and implement projects that significantly enhanced public health outcomes.• Conducted remote monitoring and diagnostics for health infrastructure and financial portfolios, optimizing health operations and performing risk assessments.• Developed and validated health analytics solutions, addressing specific needs and opportunities, and translating statistical algorithms into practical health analytics products with software developers.• Engaged with health sector stakeholders to capture data requirements and effectively communicated statistical findings to support evidence-based decision-making in public health initiatives.