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Data Scientist Resume

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Menlo Park, CA

PROFESSIONAL EXPERIENCE:

Confidential, Menlo Park, CA

Data Scientist

  • Developed models to predict the likelihood of discovering an issue during the underwriting home in­spection process, reducing inspection costs by 10%
  • Engineered the ETL pipeline for our country wide auto retention model using Spark
  • Constructed a gradient boosting classifier to predict the likelihood of customer renewal
  • Leveraged a Tableau live connection to Impala for visualizing model predictions on tens of millions of records encompassing various population segments and insurance products
  • Created a model evaluation framework to continuously measure model performance over time to help inform model refit decisions
  • Automated the ETL, model scoring, and model diagnostics process to reduce costs on the data science team
  • Led team consisting of a junior data scientist, data engineer, and business analytics consultant through Agile development sprints as the team's Scrum Master

Confidential, Tallahassee, FL

Statistical Consultant

  • Provided statistical analysis for masters and doctoral research projects
  • Guidance given on ANOVA, Generalized Linear Modeling, hypothesis testing, and model assumptions
  • Assisted students with R, SAS, Python and SPSS coding

Confidential, Tallahassee, FL

Instructor

  • Taught my own Intro to Applied Statistics course
  • Created lecture materials, projects, homework assignments, review games, and assessments
  • Instructed a class of 60 students on statistical inference, ANOVA, and regression methods
  • Instructed students during recitation sessions
  • Proctored and graded students exams and assignments

TECHNICAL SKILLS

Programming Languages: Python (scikit - learn, Pandas, NumPy, SciPy, etc.), R, SQL

Bash, SAS, MATLAB: Tools Spark, Tableau, Hive, Impala, Linux, GitHub, Agile technologies,H2O, Excel, PowerPoint

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