CV

Education

Data Scientist Oct 2022 - Present

Shell Technology Center Houston, TX

Scientific Researcher May 2017 - Present

Compact Muon Solenoid (CMS) Experiment at CERN, Geneva, Switzerland

Designed and developed a Python based software to perform statistical analysis and hypothesis testing on multi-TB physics data
Processed 200 TB of complex Physics data on a regular basis using distributed grid of computing clusters
Designed a Principal Component Analysis framework to reduce the dimensionality of the data and helped reduce processing time, resulting in more computing resources availability
Co-authored more than 150 scientific publications by the CMS collaboration
Communicated scientific results to the general audience as a science outreach volunteer

Teaching Assistant August 2016 - May 2017

The Catholic University of America

Languages: Python (Advanced), R (Intermediate), pSQL (Intermediate), Bash, Shell
Scientific Computing: Sci-Py, Numpy, Keras, SkLearn, MatplotLib, SeaBorn and Bokeh
Machine Learning: Linear and Logistic Regression, Classification, Clustering (PCA, KNN, Random forest), Auto-Encoders, NeuralNets,
Familiar: Computer Vision, Natural Language Processing
Soft Skills:
- Organizationally Savvy: Worked in Collaboration with 5000+ Scientists doing Physics analysis and Software Development
- Enthusiastic about un-orthodox methods
- Critical thinking and Research Oriented

Fermi Nat. Lab Guest & Visitor Fellowship, 2019
- Research Fellowship to Work on Anomaly Detection at the LHC
Best Oral Presentation, 2018 :
- a General Audience Talk on the Higgs Boson
Data Science Hackathon Winner, 2019
- Winner of a Data Science Hackathon on Increasing Voter Turn-out
Collaborated on the 1000th publication of the CMS experiment at the Large Hadron Collider