 Recommending & implementing improvements & efficiencies
 Identifying and solving the data-analytics problems
 Collecting large sets of structured & unstructured data from different sources
 Cleaning & validating complex data to ensure accuracy, completeness, & uniformity
 Data analysis & visualization using tools such as Excel, Power BI, Qlick, & Tableau
 Reporting to my manager & data story telling
 Using & applying statistics skills, such as distributions, statistical testing, regression, etc
 Analyzing the data to identify patterns and trends
 Using common data science toolkits, such as R, NumPy, & MatLab, etc.
 Querying databases & using statistical computer languages: R, Python, SQL, Access, SPSS & MongoDB