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