At Kennesaw State University, I developed and validated statistical solutions involving probability distributions, hypothesis testing, and regression analysis. I also evaluated analytical methodologies and statistical outputs across student submissions.
I configured D2L Intelligent Agents to automate engagement tracking, performance monitoring, and communication workflows, improving operational efficiency. I also assisted students in applying statistical techniques and interpreting results.
As an Intern at Defence Research and Development Organisation, I analyzed, cleaned, and validated system performance datasets to identify operational bottlenecks. Systematic validation and quality checks reduced data errors by 15% and contributed to a 10% improvement in operational efficiency.
In my projects, I developed predictive models for credit risk and collections payment prediction, and built a CNN for ECG arrhythmia classification that achieved 97.23% accuracy. My work has included Python, SQL, SAS, Power BI, machine learning, and statistical analysis.
