Pratikshya Moharana User

On my Synergetic Multimodal Fusion of Neuroimaging for Early-Stage Alzheimer's Prediction project, I developed a machine learning model to identify early-stage Alzheimer's markers from fused neuroimaging data. I used classification algorithms to categorize stages of cognitive impairment.

I used Python, Pandas, and NumPy to clean and combine data, and applied statistical analysis and outlier detection during preprocessing. I also created visual reports with Matplotlib and Seaborn to present model accuracy, feature importance, and diagnostic trends.

For my T20 World Cup Cricket Data Analytics project, I scraped player statistics, analyzed them with Python and Pandas, and created a Power BI dashboard to support player selection. The analysis included performance metrics such as batting average, strike rate, and bowling economy.

I also developed a rain-sensing automatic car wiper system that processed moisture sensor signals and logged activation data with SQL. I used statistical analysis to calibrate moisture thresholds and data cleaning to address hardware noise.