Research Asst. Professor and Lead Developer Resume

SUMMARY:

PhD Engineering with extensive expertise in data science, statistical methods and machine learning techniques applied to business, scientific, and research problems. Able to leverage a heavy dose of mathematics and applied statistics with analysis and visualization and a healthy sense of exploration using PyData and R.
Working on Google research funded project to develop machine learning algorithm using Python, R and Javascript. Worked on Confidential project to provide detail quantitative analysis and visualizations of complex data for designing satellite.

TECHNICAL SKILLS:

SPECIALTIES: R, Python, Matlab, C, C++, SAS, Tableau, SQL, NoSQL, MongoDB, GIS, Unix, Shell Scripting, Social Network Analysis, High Performance Computing, Advanced Statistical Techniques, Visualization of Complex Data, Human Computer Interaction, Machine Learning, Information Retrieval, Data Mining, Predictive modeling, Image Processing.

PROFESSIONAL EXPERIENCE:

Research Asst. Professor and Lead Developer

Confidential

Responsibilities:

Two years as a lead developer of a web - based data analytics and machine learning tool written in Python, javascript and used to manipulate physical and statistical models and quickly evaluate surface energy balance using terabytes of geospatial data using Googles’ cluster computers. I Developed several automated Bash, Python, R on Linux and windows) script to extract, clean, and manipulate large datasets (both structured and unstructured) for model building. Results were presented using the Google Charts and Maps Visualization API. Developing Data Science curriculum for PhD at the UNL. Teaching R and Python courses.

Postdoctoral Research Associate

Confidential

Responsibilities:

Worked on Confidential project to provide detail quantitative analysis and visualizations of complex data for designing satellite. Developed predictive models utilizing both statistical methods and machine learning for scientific research.

Graduate Research Assistant

Confidential

Responsibilities:

Geospatial and text data assimilation using genetic algorithm for the optimization research.

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