`● Identify bottlenecks in hydraulic fracturing operations and determine trends and significant data relationships by preparing dashboards in Power Bi and developing algorithms and performing exploratory data analysis in python. ● Carry out detailed statistical analysis and testing to identify significant data relationships. ● Utilize strong analytical abilities to develop appropriate predictive models/algorithms, data modeling, and model deployment for different DevOps projects as per set standards. ● Perform case studies utilizing SQL to identify material usage, identify trends, overperformers and underperformers. ● Develop Time Serries forecasts of fleet performance, future revenue and identify trends in advance to minimize cost and drive-up revenue. ● Present data insights to stakeholders and clients and help foster a data-centric culture within the analytics team to reach KPI goals for the clients. ● Utilize unsupervised algorithms to cluster rig performance and identify crews top performing fleets and fleets that are falling behind. ● Develop fault detection algorithms to identify equipment failure in advance and help prevent catastrophic failure. ● Perform data engineering tasks such as data cleaning, data transformation.

My Education

Take a look at my formal education

Engineering in EngineeringNew Mexico Tech | 2017

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