At AISPRY, I analyzed datasets with Python and SQL to identify trends, improving insights accuracy by 30%. I also built Power BI dashboards that improved stakeholder reporting efficiency by 25%.
As a Cyber Security Intern at EC-Council, I trained in CEH, CND, and CHFI, with hands-on experience in ethical hacking, threat detection, vulnerability assessment, and log analysis.
I developed MedMind AI, a healthcare platform that predicts disease likelihood from voice or text symptoms using a custom ML model trained on 377+ symptoms and 773+ diseases. It also includes doctor recommendations, appointment booking, secure digital records, and role-based access for hospitals, doctors, and patients.
For my data-driven sperm selection project, I developed statistical models to analyze clinical data and predict sperm quality, then used SQL and Python for data analysis and Power BI to visualize trends. I also built an Instant Home Service Hub that reduced booking time by 50%.
