Prasanna Kumar

Built a TLDR generation app using Python and Google Gemini to automate summaries and reasoning for technical reports, improving fraud detection scalability and reviewer productivity. Designed and fine-tuned ML and generative AI solutions, performed EDA, and integrated data via SQL to drive business-specific outcomes.

Delivered analytics solutions and executive Power BI dashboards to drive root-cause discovery and corrective actions across verticals, leveraging Python and SQL to source and transform large transportation datasets. Built measures, parameters, and action filters to support decision-making.

Developed unsupervised learning and NLP solutions for advertising analytics at Microsoft, designed experiments and A/B tests, and built classification models to predict query intent and customer churn, achieving predictive models with <15% error in demand forecasting.

Built a logistic regression prepayment model and performed funnel analysis to identify friction points, informing campaigns that increased loan take rate by 5% and contributing to a 3% revenue uplift via prepayment policy changes.

Provided technical support for US retail supply chain clients, resolving issues and supporting digital interaction operations to maintain service continuity.

Grade: 3.7 GPA

Completed a Post-Graduation Diploma in Business Analytics with a GPA of 3.7, covering advanced analytics, machine learning, and data visualization.

Grade: 80%

Completed a Post-Graduation Diploma in Computer Applications, focusing on software development and applied computing, graduating with 80%.

Grade: 72%

Earned a Bachelor of Technology in Electrical and Electronics Engineering with a 72% aggregate, covering core electrical engineering principles and applied technologies.