Sahil Deo

Areas of Interest & Expertise

  • Computational Social Science
  • Quantitative Public Policy Analysis
  • Algorithmic Regulation (Fairness, Accountability, Transparency, Explainability)
  • Urban studies
  • Public Administration


Sahil is a visiting faculty at the School of Policy and Governance.

He is a quantitative social scientist & co-founder of CPC Analytics, a data-driven consulting firm with offices in Berlin & Pune. As a part of CPC, he has consulted leading private and public sector organizations such as Siemens, Mitsubishi Materials, the World Health Organization, SIDBI, Save the Children, Swiss Development Cooperation and GIZ (German International Cooperation). Prior to founding CPC, Sahil worked for GIZ (German International Cooperation) in Tanzania alongside the Prime Minister’s Office, to streamline the revenue collection process in Local Government Agencies. He has also worked on a European Union project in Morocco & Egypt, which aimed to create financially viable models for investment in the renewable energy sector.

Sahil has a Masters of Public Policy from the Hertie School, Berlin and an undergraduate in computer engineering from the University of Pune, India and Ecoles des Mines, France. He is a PhD candidate at the Hertie School where he researches policies around algorithmic explainability in fintech.

Publications and Writings

Longer Publications

  • Deo, S., & Sontakke, N. (2021). User-Centric Explainability in Fintech Applications. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2021 — Posters (pp. 481 – 488). Springer International Publishing.
  • Deo, S., Manurkar, S., Krishnan, S., & Franz, C. (2020). Covid-19 Vaccine: Development, Access and Distribution in the Indian Context. ORF Issue Brief.
  • Deo, S., Franz, C., & South, G. (2020). Building India’s Global Health Strategy: Beyond the Role of Pharmacist of the World.’
  • Deo, S., Verulkar, P., & Krishnan, S. (2020). Fast Data for Faster Decision-making: The Utility of High-frequency Economic Indicators.
  • Krishnan, S., Deo, S., & Manurkar, S. (2020). 50 Days of Lockdown: Measuring India’s Success in Arresting COVID-19.
  • Krishnan, S., Deo, S., & Sontakke, N. (2020). Operationalizing algorithmic explainability in the context of risk profiling done by robo financial advisory apps.
  • Parchure, R. K., Phadke, M., Deo, S., Gaikwad, V., Mankar, V., Commission, S. E., & others. (2017). Use of technology on electoral campaigning: A case study of Panvel Municipal Corporation Elections, 2017. Gokhale Institute of Politics and Economics (GIPE), Pune (India).
  • Deo, S., Franz, C., Gandrud, C., & Hallerberg, M. (2015). Preventing German Bank Failures: Federalism and decisions to save troubled banks. Politische Vierteljahresschrift, 56(2), 159 – 181. 

Shorter pieces