I am trained and experienced in end-to-end analysis of detailed relational databases. I process and analyze raw data to extact statistically-significant results and produce actionable recommendations. My passion for extracting meaningful insights from data was born during my early work in experimental nuclear physics, and matured as I explored the power of machine learning and other statistical techniques. I now use these skills to solve more tangible, real-world problems to make a difference in this data-driven world.
Pandas, NumPy, scikit-learn, Keras, tensorflow.
Linear/Logistic Regression, k-means and NN modelling.
SQLite, ROOT.
Extract and clearly communicate recommendations.
Tableau, MatPlotLib, Plotly.
Hypothesis testing, robust result and uncertainty analysis.
Solving real-world problems: From defining the issues and goals to excecuting and evaluating a novel solution. There's nothing like a good puzzle!
I have led teams as a PM on multiple projects. I enjoy motivating team members to be their best by setting targets and delegating tasks based on their abilities and skills.
Excellent written and communication skills demonstrated through multiple publications as well as invited talks and chair opportunities at national and international conferences.
Develop robust Monte Carlo simulations to aid data analysis, and inform the potential impact of projects when generating proposals.
I thoroughly enjoy collaborating across disciplines and sectors. I have worked on projects with a number of Universities, National Laboratories and Government agencies.
I have designed multiple software tools that are used to mitigate bottlenecks in analysis workflow, as well as critical hardware components designed using AutoCAD packages.
Ph.D - Nuclear Physics, 2021
Rutgers University
MPhys - Physics, 2016
University of Surrey, UK
Experimental Data Analyst (Post-Doc), 2020 - 2022
Rutgers University / Oak Ridge National Laboratory
Internship - Detector Diagnostics Specialist, 2018
Lawrence Livermore National Laboratory
Resident Graduate Student, 2017 - 2020
Oak Ridge National Laboratory
Machine Learning Course, 2021
Stanford University - Andrew Ng (online)
Relational Databases and SQL, 2022
Stanford University (online)