At Namal Education Foundation (NEF), I developed 10+ interactive Power BI dashboards for prospective donors, using geographic maps, DAX measures, and institutional KPIs to support funding presentations and decision-making.
I also created and maintained 1,000+ centralized student profiles by linking academic, demographic, financial, and engagement records. I implemented a Donor Management System with 6+ interconnected modules for segmentation, contribution tracking, follow-ups, validation, and reporting.
At Grey Matter Global (CSO-UOL), I developed CareerGPT, an AI-powered assistant that analyzes resumes and cover letters and generates personalized interview questions. I also built automated document-parsing workflows and a student portal with analytics for mentorship tracking, mock interviews, and progress.
In my projects, I built a CNN for facial-expression emotion detection that achieved 72% validation accuracy and developed a cryptocurrency forecasting pipeline using Random Forest and LSTM models. I work with Python, R, SQL, Power BI, and PySpark, and hold a BSc in Statistics with an emphasis in Data Analytics.
