Deepa Shukla

Background

About Deepa Shukla

AI/ML Researcher | Independent Corporate Director (MCA-Registered)| PhD in Computer Science | Advocate of Responsible AI in Finance I am a PhD scholar and AI/ML Research Engineer with a deep focus on machine learning algorithms for credit scoring, particularly targeting thin-file consumers in emerging economies. My scholarly portfolio includes 15 research papers (with 5 Scopus-indexed), 3 international conference presentations, and 2 open-access datasets published on Harvard Dataverse, reflecting a strong commitment to open, reproducible, and impact-driven research. Recently, I have been formally registered as an Independent Corporate Director with the Ministry of Corporate Affairs (MCA), Government of India, enabling me to contribute to board-level governance, ethical AI oversight, and strategic technology planning in regulated sectors. Core Expertise • Credit Risk Modelling | Alternative Data Integration • Feature Engineering | Explainable AI (SHAP, LIME) • Data Ethics | Fairness-Aware AI | Model Transparency • R/Python | Survey Data Analysis | GitHub-based Open Science Academic and Professional Engagements • Technical Program Committee Member – ICCA 2025 • Peer Reviewer – Access, Springer Journal of AI, JCSER • Contributor – Harvard Dataverse | Kaggle (Open Data & Replication) • Member – | SCRS | WOS | SOP | AIWC | EDAS | DataCite My GitHub repository demonstrates reproducible credit scoring models, synthetic datasets, and interpretable AI pipelines aimed at bridging research, policy, and real-world deployment. Let’s connect if you are working at the crossroads of data science, AI governance, fintech innovation, or ESG-compliant decision systems. I'm open to board appointments, cross-sectoral collaborations, and policy-led research consulting in India or globally.