Ganesh Kota

Led analysis from multiple marketing sources, ensuring data accuracy and consistency to support campaign optimization and strategic marketing decisions using Azure and Fabric. Performed multiple analytical scenarios on the Bing search and web analytics data to extract keen marketing focused insights to target the customers.

Coordinated data collection and interpretation from diverse sources, ensuring accuracy, completeness, and consistency to support strategic decision-making. Designed an interactive research performance dashboard tracking grant funding, publication metrics, and collaboration networks across academic departments, increasing cross-departmental research initiatives by 28%.

Developed risk assessment models and automated reporting workflows, reducing manual intervention by 30% for compliance monitoring and risk management programs. Created Power BI dashboards tracking operational metrics and program effectiveness, presenting findings to senior leadership in a compelling manner.

Built predictive models for risk assessment and impact analysis using Python and R, forecasting trends to support strategic decision-making. Developed SQL queries and integrated data from multiple sources like SAP and Azure to aggregate all customer data.

Enhanced data accuracy by 25% through improved integration processes and quality controls for risk monitoring and compliance reporting. Developed custom Power BI and Spotfire dashboards to visualize operational metrics, supporting decision-making for large-scale datasets.

Completed a Master of Science in Analytics, focusing on data analysis, data science, and machine learning. Studied advanced topics including natural language processing, deep learning, generative AI, and large language models.