As a Freelance Data Scientist & Data Analyst, I designed and delivered machine learning and analytics solutions across healthcare, predictive modelling, business intelligence, and gaming analytics. I built end-to-end Python workflows and interactive applications tailored to project and client requirements.
For AgroFlow AI, I developed a RAG-based agricultural assistant with a reusable knowledge base, semantic and keyword retrieval, reranking, and conversational context. I also created document-ingestion workflows and exposed the AI engine through Flask REST APIs.
I developed predictive risk models for projects including Preemptive CKD & Diabetes Diagnosis and the TB & HIV Preemptive Risk Prediction Platform. These projects applied machine learning and deep learning techniques, with the latter integrated into a Streamlit clinical application.
My other work includes a prostate cancer histopathology classification pipeline using CNNs and MobileNetV2, a structural credit risk framework, and an interactive Power BI dashboard exploring iPhone trends. I also built Power BI dashboards and automated recurring reporting workflows during my internships.
