Richard Wanjohi, Ph.D
data scientist at h&r block@ H&R Block
Kansas City, Missouri, United States
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Richard Wanjohi, Ph.D is a highly skilled statistician with 15.2 years of experience in data analysis and statistical modeling. Based in the United States, he specializes in using statistical and machine learning models to extract meaningful insights for business growth. Richard has a strong background in developing and implementing crucial methodologies and techniques. He has worked in various roles, including Principal Data Scientist at ECCO Select and Adjunct Professor at Commerce Bank. Richard's expertise includes machine learning, Bayesian Inference, Time Series analysis, and State Space Models. He is also experienced in data visualization using Tableau and Power BI.
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Research Details
Skills & Insights
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Emails and Phone Numbers

@commercebank.com
@rockhurst.edu
@eccoselect.com
@tax.hrblock.com
+1 816960****
+1 800472****
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About

My goal, always, is to extract and deliver meaningful, solution focused and key data-driven insights that enhance business growth. I employ Statistical and Machine Learning models to extract the aforementioned insights. I have vast experience in developing, modeling, and implementing these crucial methodologies and techniques **************Research Interests: Machine Learning, Bayesian Inference, Time Series analysis, State Space Models, Sequential Monte Carlo Methods**************Tools: R, Python, SAS, JMP, Matlab, SPSSBig Data Ecosystem: Spark, Map Reduce, HDFS, HBase, HiveAnalytics Platforms: KNIME, SAS Enterprise Miner, IBM SPSS Modeler, Alteryx Data visualization: Tableau, Power BI

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Work Experience

One H&R Block Way, Kansas City, MO, 64105, US

Retail

16009
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Richard Wanjohi, Ph.D's Professional Milestones

  • Research Statistician (2015-02-01~2015-05-01): Conducted in-depth analysis to provide valuable insights into a wide range of financial data.
  • Research Scientist (2011-05-01~2011-07-01): Developing innovative products to drive scientific advancements and contribute to advancements in the field.
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Education

University of Arkansas
University of Arkansas

Statistics

2007-2009
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