Education

Experience

Argonne National Laboratory - Postdoctoral Appointee

August 2019 - Present

  • Scalable regression methods for large regression/inverse problem.
  • Inference on traffic state using telemetry data.
  • Photometric redshift estimation.

Biocomplexity Institute of Virginia Tech - Graduate Research Assistant

August 2014 - June 2019

  • Calibration and prediction of seasonal flu in USA.
  • Stochastic computer model calibration and uncertainty quantification.
  • Bayesian inverse problem.

University of Delhi - Assistant Professor

August 2013 - May 2014

  • Teaching: graduate courses - Linear algebra, Real and complex analysis.
  • Programming: R.

Teri University - Guest Lecturer

August 2013 - May 2014

  • Teaching: graduate courses - Spatial Statistics, Probablity and Inference.

Accenture - Business Analyst

October 2011 - June 2013

  • Mix market modeling.
  • Ad spending optimization.

Skills

Note: I think these sections are silly, but everyone seems to have one. Here is a *mostly* honest overview of my skills.

Python
5 / 5
R
5 / 5
Data Visualization
5 / 5
Pandas
5 / 5
LaTex
4 / 5
Data Mining
4 / 5
Jupyter
4 / 5
Matplotlib
4 / 5
Numpy
4 / 5
Scikit-Learn
4 / 5
Git/Mercurial
3 / 5
Bash
3 / 5
MATLAB
3 / 5
C
2 / 5
C++
2 / 5
HTML + SASS/SCSS/CSS
2 / 5
Julia
2 / 5
PostgreSQL/SQLite3/SQL
2 / 5
Tensorflow + Keras
2 / 5
Numba
2 / 5