Anudeep Medisetti

Data Management Department:

• Assisted the Risk Team by populating business-related Key Risk Indicators (KRIs) and supporting the preparation of monthly Risk Reports for the Board.
• Participated in CSSF Quarterly Regulatory Reporting (e.g., Circular 18/698), ensuring accurate and timely submission of operational and risk data.
• Developed SQL Server databases and Microsoft Fabric solutions for efficient risk and data management.
• Automated workflows using Power Automate, VBA, and Azure, reducing manual tasks by 30%.
• Created interactive Power BI dashboards to visualize operational risk metrics and improve decision-making.
• Mentored team members on data processes and risk data governance, fostering a data-driven culture.

Outsourcing Department:

• Managed compliance oversight for third-party and intragroup outsourcing arrangements, ensuring adherence to CSSF Circulars 22/806, 23/811, and internal policies.
• Tracked and analyzed KPIs from global outsourcing partners to assess service delivery, operational risks, and contract performance.
• Collaborated with internal audit and risk teams to review outsourcing risks and supported the Outsourcing Risk Committee with reporting and governance documentation.

• Contributed to the O3b mPOWER satellite network project, focusing on optimizing satellite resources for improved service delivery.
• Developed machine learning and AI models combined with Gurobi optimization to improve beam allocation efficiency and flexibility.
• Achieved an increased in allocation efficiency and accuracy through dynamic optimization strategies.
• Built Tableau dashboards to visualize resource usage and support real-time operational decisions.

• Participated in the Hacking Health: Covid-19 initiative led by the SKEMA Global Lab in AI, contributing to open science research on the relationship between health and financial markets.
• Assisted a professor’s PhD research on the impacts of health on financial markets by sourcing relevant datasets from Bloomberg and open data repositories.
• Cleaned, transformed, and visualized data using Power BI to identify patterns between health indicators and market movements during the Covid-19 pandemic.
• Developed predictive models in Python and R, improving forecasting.
• Contributed to an open science project promoting reproducibility through open data, open code, and collaborative methods.

• Selected from my university to join a Microsoft initiative exploring the integration of AI in Power Automate and Power Apps.
• Learned and tested new AI-driven features, building prototype applications to automate business workflows.
• Provided critical feedback and improvement suggestions to the Microsoft development team based on hands-on testing and use case exploration.
• Collaborated with peers and Microsoft mentors to evaluate usability, performance, and potential business impact of these tools.

• Managed day-to-day operations across multiple laboratory locations, coordinating with patients, doctors, and staff to ensure smooth service delivery.
• Managed resource procurement to ensure uninterrupted service delivery across laboratories.
• Oversaw financial management, procurement, and inventory control to maintain uninterrupted operations.

• Assisted a team of penetration testers in identifying and documenting security vulnerabilities.
• Supported the preparation of security reports to help align with organizational compliance requirements.

• Assisted the development team in building Android applications, focusing on front-end design and UI/UX improvements.
• Contributed to optimizing application performance and enhancing user experience.