Contributed to 3 physics software packages used globally by ∼5K users through scripting(Python/ Mathematica), bug reports and mathematically intensive calculations.Identified hypotheses that would be extremely difficult to test at the Large Hadron Collider (LHC) experiment, and formulated an analysis (Mathematica/Python) to achieve this by utilizing relative strengths of a proposed experiment.Mentored 3 junior team members via introductions to physics software packages and efficient numerical methods, as well as cross-checks of certain results.Co-authored 4 peer-reviewed journal publications (http://goo.gl/RlZD0Y) with a total of 112 citations and presented the results at 3 international conferences. Independent Projects in Data Science : Exploratory analysis(R/knitr) of San Francisco Crime Data, Model(R/knitr) to classify crimes in San Francisco (Kaggle), Analysis of R’s "Toothgrowth" dataset (R/knitr). For details : http://kkumar84.github.io.

Implemented a multivariate analysis (Python/Mathematica/Bash/Awk) on 100 million rows of simulation data to potentially accelerate the finding of a rare Higgs signal at the LHC experiment by ∼4 months (15%).Studied a model that addressed certain anomalous observations and constructed analyses (Mathe- matica/C++) to potentially find its rare signals at the LHC experiment by 2020.Taught ∼500 undergraduates data analysis and introductory physics courses. Coached∼30students beyond office hours to address deficiencies in fundamentals, thereby enabling them to thrive in Northwestern’s competitive academic environment.Co-authored 5 peer-reviewed journal publications (http://goo.gl/RlZD0Y) with a total of 186 citations and presented the results at 3 international conferences.