-Desiged and maintained data systems and databases including fixing coding errors and other data-related problems.-Mined data from primary and secondary sources, then reorganized said data in a format that can be easily read by either human or machine.-Used statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.-Demonstrated the significance of their work in the context of local, national, and global trends that impact both their organization and industry.-Prepared reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.-Collaborated with programmers, engineers, and organizational leaders to identify opportunities for process improvements,-Created appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.

-Specialized in developing spatial data from different sources, across different platforms into a preferred format for different products. A typical project involves data source identification and evaluation, data analysis, validation, error detection, correction and transformation.- Collected user requirement, designed and implemented special algorithms to conduct spatial analysis to improve data accuracy and increase value added to end users. Wrote a convex hull builder in C# to assist in territory analysis and to identify overlapping territories and outliers.