Performed A/B testing development, design, experiments and measurement.
Conducted statistical analysis, utilized data to develop strategies to find scalable solutions, managed data processes while identifying potential issues, validating data models, coding logic, and data solutions.
Curated workflows, data models, quantitative analysis, and interactive data driven Tableau visual dashboards to automate ad-hoc requests and reporting needs from various client stakeholders.
Collaborated with Visualization Developers, Software Engineers, and Product Owners to ensure data collection, data quality, scalability and usability.
Develop, execute, and troubleshoot highly complex queries developed using SQL, R, or Python.
Explored big data technologies like Hadoop MapReduce and Apache Spark for efficient data storage and processing of large datasets.
Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
Identified data anomalies and worked with leadership to drive key metrics for business strategy and analytical insights.
Data Analyst
Centene Corporation
St. Louis, United States
10.2017 - 05.2021
Data supporting decisions for high-priority, enterprise initiatives involving IT/product development, organizational realignment and infrastructure engineering
Communicate data driven results while providing recommendations to stakeholders
Conducted analysis using advanced data technologies to identify steerable savings and potential cost reductions
Utilized advanced data mining methods to identify patterns and ultimately save the company $20M in litigation efforts
Built and streamlined R Shiny interactive dashboards based on members and provider services
Education
Political Science | B.A. -
University of Missouri - St. Louis
05.2017
Skills
Python
SQL
R
Spark/Pyspark
Apache Hadoop
Apache Hive
Airflow
AWS
Snowflake
Databricks
Tableau
R Shiny
Adobe Analytics
Machine Learning
Data Modeling
Data Science
Data Warehousing
Data Visualization
Data Pipelines (ETL)
Accomplishments
Implementedover 200 A/B tests and experiments with an incremental value add over $300M within the past 14 months
Automatedweekly large scale data processing
Identified data challenges (findings increased potential revenue of $50M+ not accounted for) and found scalable solutions
Built, streamlined entire data structure workflow, and maintained multiple different dashboards used by seven different teams
Contributed to 50% of overall fiscal year growth
Client account highly competitive and sought after, due to highest earning account globally
Drove an increase of 20% audience growth for North America through personalized engagement