About Me

Detail-oriented, organized, and dedicated researcher with a background in big data management and manipulation, statistical learning, survey sampling, data visualization, and advanced biostatistics methodology. With several years of experience in diverse research fields, a wide range of statistical skillsets and tools, the versatility to understand clinical underpinnings quickly, and an ambitious and curious personality, I have something to bring to any research team. My technical proficiencies include:

Languages:

• R (ggplot2, data.table, dplyr, tidyr, etc.)
• SAS (Base, specializing in Nonlinear Regression Techniques, Survey Sampling, Nonparametric methodology, Biostatistics methodology, etc.)
• Python (NumPy, pandas, scikit-learn, etc.)
• LaTeX (amsmath, booktabs, amssymb, graphicx, caption, etc.)
• Matlab (Base)

Skills and Coursework:

Biostatistics I and II, Statistical Learning and Machine Learning, Time Series Analysis, Probability Models and Simulation, Statistical Theory, Statistical Inference, Regression Analysis, Data Science, Data Mining, Applied Multivariate Statistics, Nonparametric Analysis, Data Visualization for Analytics, Data Ethics, Statistical Modeling, Exploratory Data Analysis, Survey Sampling, Statistical Consulting, and Applied Statistics

Fields of Interest:

Statistical Genetics (Polygenic Risk Score Assessments) | Multifactorial Genetic Inheritance Disorders (Acting in Concert with Environmental Insults) | Oncology | Cardiology | Humanitarian Relief | Public Health | Environmental Sciences | Conservation | Hunger Relief | Big Data Management | Data Visualization | Data Mining | Statistical Learning