Dr. Nilkanth Kumar

I was responsible for multiple R & D projects, sustainability analysis, and public funding acquisition activities at Sleepiz. This included grant management, proposal writing, and related activities, as well as as project lead and management of multiple Innosuisse and EU funded projects involving multiple international stakeholders.

My research activities involve design and implementation of field-​experiments to better understand problems in energy and environmental economics, behavioral economics, technology adoption and sustainability, and to find potential (policy) solutions. Projects: - Swiss National Science Foundation (SNSF), "Barriers towards the adoption of energy-​efficient vehicles in Nepal and the role of behavioral biases" - ETH MTEC Foundation, "AdoptEV: Empowering consumers to embrace e-​mobility"

Projects: - Research for development (R4D) and CEPE, "Barriers towards the adoption of energy-​efficient vehicles in Nepal and the role of behavioral biases" - Nepal Electricity Authority (NEA) and CEPE, "Energy-​related investment literacy and adoption of efficient household appliances in Nepalese household sector"

Conducted scientific research in the field of Energy Policy and Public Economics. Successfully led and managed two large research projects involving empirical study of energy consumption in Swiss households and Nepalese households. Projects: - Swiss Federal Office of Energy (SFOE), "Underlying energy efficiency and technological change in the Swiss household sector" Teaching: - Teaching assistant in microeconomics course at ETH.

Contributed actively with data collection and research work at the Centre for Energy Policy and Economics (CEPE) at ETH Zurich. Experience working with microeconomic datasets and Swiss travel micro-census data. Usage: R, Stata, MS-Excel, LaTeX. - Teaching assistant for the course ‘Principles of Microeconomics’

Developed data mining algorithm to analyse web logs for evaluating redesigned web pages for the City of Zurich portal (www.stadt-zuerich.ch). Developed quantitative models to examine a turbine failure based upon the on-site data for Sulzer Innotec. Usage: R, LaTeX, time series, regression, machine learning & additive models. The "Statistics Lab" workshop at the Seminar for Statistics provided consulting exposure working on real-world datasets and involved scientific reporting & presentations to clients.

Supported client obligations as part of an international team. Successfully developed vital software enhancements for existing nursing healthcare solutions. Served as the first point of contact for guiding new members in the team. Usage: C++, SQL, Excel, CCL (Cerner SQL). - Achieved improved quality by documenting crucial test case scenarios - Received the Quarterly Performance Award (twice) for excellent work

Dissertation title: Essays on Bounded Rationality, Energy Efficiency and Energy-related Financial Literacy. Doctoral Committee: Massimo Filippini (Supervisor), Sebastian Rausch (Co-supervisor), William H. Greene (Co-supervisor).

Specialization: Applied Statistics, Multivariate Regression, Economics. Master’s thesis: “An empirical analysis of the mobility behavior in Switzerland using robust methods”. Usage: R, Robust multiple regression, LaTeX, MS-Excel. - Received the Birkigt Scholarship Award from ETH Zürich

Developed a wheelchair implementation for the paralysed using an iRobot Create module and Wii Remote. Usage: LabVIEW, micro-controller programming.