CV

Data Science Skills

• Time-series forecasting
  • Applied Regression, Ensemble, Decision-Tree and Gradient Boosting methods to predict power market variables
  • Developed feed-forward DNN and recurrent LSTM networks using keras and tensorflow libraries
• Data Wrangling
  • Built python library to extract, wrangle and analyze market data
• Algorithms
  • Developed and deployed automated trading algorithms for intraday power trading

Computational Skills

• Programming Languages
  • Python
  • C, C++, Matlab, Mathematica
• Other Languages
  • LaTeX, Markdown
• Git

Awards

• Graduate Fellowship, Kavli Institute for Theoretical Physics, 2018
• Visiting Research Fellowship, Inter-University Center for Astronomy & Astrophysics, 2013
• Junior Research Fellowship, Chennai Mathematical Institute, 2011

Talks

• Astro Seminar, University of California Santa Barbara, US, 2018
• Plasma Turbulence Workshop, Ecole de Physique Les Houches, France, 2015
• CPH-Lund Disk Meeting, Lund University, Sweden, 2015
• Protoplanetary Disks & Planet Formation Workshop, JAMSTEC, Japan, 2015
• Annual Danish Astronomy Meeting, Helsingør, Denmark, 2015

Tutoring

• Teaching assistant in
  • Continuum Mechanics, University of Copenhagen, Winter 2015
  • Theoretical Astrophysics, University of Copenhagen, Fall 2014
  • Electromagnetism, University of Copenhagen, Spring 2014
• Mentored 2 B.Sc. and 1 M.Sc. student at the Niels Bohr Institute

Outreach

• Contributor, KITP social media campaign, 2018.
• Volunteer, Danish Science Festival, 2016, 2017.
• Founder, Copenhagen Debaters Meetup Group, 2016-2017