Building data-driven solutions for governance, public issues, and organizational decision-making using Python, AI, and strategic analysis.
I am a Public Systems and Data professional focused on solving governance and organizational challenges using technology, analytics, and structured research.
With a background in Economics and training in Python, Data Science, and AI, I work at the intersection of public issues, data analysis, and digital systems. I am particularly interested in building scalable digital tools that improve governance, transparency, and citizen engagement.
Key Focus Areas
Technological interventions designed to streamline governance and enhance public understanding.
Designed and launched a digital grievance collection platform for ward-level public issues including water, roads, sanitation, electricity, and health. Centralizes citizen feedback for data-based local decision-making.
Conducted AI-assisted research and analysis of district-level public issues across sectors. Produced structured reports with high-impact issue identification.
Developed a Python-based approach to extract voter data from non-OCR PDFs, clean records, and detect potential duplicate entries using fuzzy matching techniques.
Designed AI-assisted workflows for monitoring issues, generating structured content, and improving operational efficiency for public messaging teams.
Available for public systems projects, governance analytics, and data-driven decision support.