Full stack developer in Network Operations Control Analytics Department. Identify new data sources and create automated solutions to filter, store, and consume relevant data for data science use. Integrate new data sources with existing software solutions utilizing API’s and other scripting tools. Create rapid innovation solutions utilizing AWS. For each project, perform planning, estimation, execution, risk management, and resource allocation with project management team to ensure timely delivery of milestones at all stages of SDLC.Experience working with customers/business partners both internal and external (NASA, FAA, Amazon, etc.)

DevOps Engineer in Data Science team, responsible for implementing industry best practices in development and operations of statistical models and their subsequent usage in daily operations.

Process data, generate attributes, and analyze results of large, multidimensional credit report datasets (millions of records) in order to create statistical models for credit risk analysis. Utilize industry best practices and state of the art techniques to collect, cleanse and process data, verifying integrity of data used for analysis. Ad-Hoc data analysis requests that require ability to create scripts and macros in SQL, SAS, C#, Java.Create technical documentation that clearly outlines processes used and results at each stage of processing. Meet directly with customers and end users to gather requirements and to clarify concerns about end product.Exercise utmost caution and care for privacy and security when dealing with personally identifiable information (PII).

Utilize Lean Six Sigma methodologies to Define, Measure, Analyse, Improve, and Control existing processes; advanced knowledge of SAP, Microsoft Office, Java, Tableau to create customized, fully automated reporting tools to assist in making accurate and timely business decisions. Able to reduce manual time spent pulling and manipulating data significantly leading to increased availability to analyse and create value propositions based on current, detailed, data.

Facilitated delivery of configured telecommunications equipment by customer requested delivery date by proactively pushing materials to appropriate production facilities and by reconciling SAP-3PL variances (phantom inventory) that would otherwise bring the supply chain to a halt. SAP-3rd Party Reconciliation – reconciling variances between SAP and several 3PL Systems (Syncreon, KGP, KMM) to ensure that timely delivery could occur and enabling invoicing and WIP reduction though verification of delivery in both systems. Reduced variances between systems by over $10M across 2000+ part/storage location combinations. Utilized available SQL data pulled from SAP tables to create a variety of Relational Database reports that greatly reduced manual reporting as well as increased speed and efficiency of reports produced for data analysis. EWM/APO implementation/go live –change advocate and active user that directly impacted the success of implementation of Extended warehouse management and Advanced Planning and Optimization.