Research Assistant Resume Oxford, MS - Hire IT People

PROFESSIONAL S UMMARY:

Highly motivated analytic professional with experience in data analysis, processing and cleaning of data, statistical data analysis, and machine learning techniques to gain insights from data.
Expertise in using powerful data visualization techniques; excellent communication skills and enjoy telling stories using data.
Ability to manage multiple tasks in a demanding environment meeting the deadlines.

TECHNICAL SKILLS:

Python, R/RStudio
Statistics, data analysis, Graphical Visualization
Computing, SQL, Shell scripts
Machine Learning, Supervised Learning (Regression, Classification), Clustering
Linux, Mac OS, Windows, Microsoft Office
HTML, CSS, Javascript

PROFESSIONAL EXPERIENCE:

Confidential, Oxford, MS

Research Assistant

Responsibilities:

Worked on computational data to identify patterns, did data filtering, cleaned the data to make it structured format for analysis, exploratory analysis and visualization.
Wrote algorithms in Unix environment to process data, applied machine learning models (linear regression), R 2 calculation to predict the unknown parameter from data. Used statistical packages in python/R to find the correlation, spread in the variables. Helped to identify most important features.
Expert in bash scripting, SQL queries and parallel processing using supercomputing clusters, documented the analysis methods in technical notes.