-Identify nuisance alarms on a Collision Avoidance System by identifying trends in the data and
testing the vehicles on the mining site.
-Using Power BI and other statistical tools to interpret possible Collision events, paying
particular attention to trends and patterns that could be valuable for diagnostic and predictive
analytics efforts.
-Collaborating with stockholders and engineers to identify opportunities for system
improvements, recommend system modifications, and develop policies for data governance.

-Cleaning and transferring data into a new format to make it more appropriate for analysis.
-Created Supervised machine learning models using Python and improve the predictive
accuracies of machine learning models.
-Visualize data in the most effective way possible for a given project or study

-Analyzed marketing data and find correlations between Customer and inventory data.
-Prepared data for analysis by transforming fields of data as per analysis
-Developed inhouse expense claims mobile software using PowerApps.
-Developed an IoT monitoring system.