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Course Creator And Instructor Resume

4.00 Rating

San Francisco, CA

SUMMARY:

  • Strategic data scientist and analyst with an impressive arsenal of technology, business and communication skills that have consistently proven valuable in private sector and higher settings.
  • Modeling: Proven success developing strong research - based financial risk, regression, predictive, credit and discovery modeling.
  • Analysis: Exceptional big data and advanced analytics experience that has drastically improved the intelligence and profitability of numerous small business clients.

TECHNICAL SKILLS:

Languages: C/C++, Java, C#. NET, Python, Android Mobile Development and Latex

Applications: HTML, CSS, JavaScript, PHP & MySQL, SQL, PostGreSQL XML, Content Management System, SAS, SAS Macro Programming, Minitab, MatLab, SAS Enterprise Miner, SPSS, Tableau, R, Microsoft Office Excel Word and Access, Hadoop, Hive, Pig, Apache Spark, and MapReduce.

Platforms: Linux, Macintosh, and Windows

PROFESSIONAL EXPERIENCE:

Confidential, San Francisco, CA

Course Creator and Instructor

Responsibilities:

  • Created 55 unique videos containing seven hours of learning share data analysis and reporting best practices regarding multiple topics including numpy, pandas, matplotlib and networkX module.

Confidential, Johnson City, TN

Graduate/Research Assistant

Responsibilities:

  • Gained the trust of a small business in Akron, OH to serve as a data analyst focused on providing financial modeling analysis.
  • Effectively predicted sales and profitability for businesses by using SAS.
  • Built a strong portfolio of clients that leveraged department statistical consulting services by manipulating and analyzing large volumes of data sets using PROC SQL, SAS Enterprise Miner, Excel, SAS and JMP to conduct statistical analysis.
  • Properly determined the profitability of two marketing channels using SAS and JMP.
  • Empowered a business client to better project the potential of mortgage default by using logistic regressions.
  • Contributed to the development of computing-risk hazard models for the unemployment rate in the state of Tennessee.

Confidential, Brunswick, OH

Data Analyst Intern

Responsibilities:

  • Created financial regression models demonstrating the impact of deviations in standard of procedures.
  • Properly used logistic regression, market basket analysis and decision tree to uncover the probabilities in the co-existence of some factors given the existence of another factor of temperature excursion.
  • Reduced data non-sampling errors by streamlining data collection and storage through the implementation of tools for automation and efficiency in data processing.

Confidential

Data Scientist

Responsibilities:

  • Effectively managed big data environments using Hadoop, Spark and Storm.
  • Correctly performed machine-learning natural language and statistical analysis methods.
  • Customized new modeling techniques and other innovations as needed to complete projects.

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