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Network Analytics Engineer Resume

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OrlandO

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TECHNICAL SKILLS

Analytical Skills/Packages: R, SQL, SAS, Hadoop, Hive, Tableau, Arena, @Risk, Python, Gladiator, Excel

Data Mining/Modelling Skills: Linear and Logistic Regression Models (Generalized Linear Models), CART, ANOVA, Generalized Additive Models (GAM), Nonparametric Regression, Random Forests, Bagging and Boosting, Neural Networks, Hierarchical and k - Means Clustering, Time Series forecasting, Hypothesis Testing and Confidence Intervals

PROFESSIONAL EXPERIENCE

Confidential, Orlando

Revenue Management Analytics Professional Intern

Responsibilities:

  • Modeled analysis and provided recommendations for pricing initiatives and potential margin enhancements
  • Predicted product demand sensitivity to price using Regression analysis to isolate effects of price on demand
  • Built statistical analysis for promotional tests to determine effects on revenue and margin

Confidential

Student Consultant

Responsibilities:

  • Optimized office space based on historical usage patterns providing recommendations for spaces to be added/eliminated and obtain an optimal assortment using statistical methods

Confidential

Network Analytics Engineer

Responsibilities:

  • Performed network - based analytics solutions (inferential and descriptive statistics) for clients worldwide, including analyzing terabytes of network data using post processing tools (Gladiator, SQL, Excel)
  • Conducted time series forecasting to help plan and manage client networks using SQL, R to ensure high quality and low interference in network traffic and optimum management of data traffic
  • Developed SQL and HTML scripts and Tableau visualizations of the derived insights to provide automated reports of operator network KPIs along with optimization parameters and Quality of Service markers
  • Performed benchmarking analysis of clients' network with other competitors to improve capacity by 3-4% and prioritize resource allocation reducing time and resource costs up to 60% (approximately $2M+ per annum)
  • Interfaced with clients and internal teams regarding project issues, delivery commitments, technical queries, design modifications and enhancements to ensure smooth functioning of the project

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