Data Analytics Professional

Brooke Walters

Intellectually curious, creative, and systematic Data Scientist with 8+ years of professional experience in analytics across an array of industries, most recently in e-commerce. Experienced in ETL processes, and quality assurance. Adept at leveraging, descriptive and predictive analytics to create KPIs. Expert at translating complex datasets into actionable insights, informing broader corporate strategies with interactive data visualizations and reports.

Education

Grand Valley State University Data Science and Analytics, M.S

Expected Spring 2025

GPA: 3.965

Grand Valley State University

Advertising and Public Relations, B.S.

Minor, Business

Experience

Associate Data Scientist, PillarFour Media

********************@*****.***

Remote October 2023 – June 2024

• Deployed end-to-end machine learning models, from feature selection, hyperparameter tuning, and model optimization, utilizing gradient boosting and neural networks to anticipate consumer demand, leading to a lift campaign performance.

• Ensured data integrity in AWS Redshift using SQL for integrating data pipeline updates, and extracting campaign performance metrics for predictive models and stakeholder dashboards.

• Delivered comprehensive code reviews (QA) and technical feedback, collaborated with UX to statistically validate models with A/B testing.

Senior Insights Analyst, Corewell Health

Grand Rapids Michigan (Hybrid) May 2022 – October 2023

• Produced executive-level reports by synthesizing complex market research, consumer sentiment, and population health forecasts. Utilized Excel, R, and Tableau to aggregate, analyze, and visualize large datasets, informing strategy around resource allocation and market entry.

• Spearheaded nationwide market research studies to gather competitive intelligence to understand the patient journey. Partnered with vendors, Consumer Experience, Revenue, Operations, and Strategy VPs to set KPIs reported on dashboards.

• Deployed natural language processing (NLP) tools for in-depth consumer sentiment analysis and thematic categorization. Embedded and quantified results into dynamic dashboards accessed daily by operations, resulting in the validation of special projects and exceeding consumer experience benchmark goals.

Market Research & Insights Analyst, Spectrum Reach Stack Grand Rapids, Mi (Hybrid)

January 2016 - May 2022

• Analyzed consumer behavior and local market trends using internal data, extracted from Snowflake to create compelling data visualizations and presentations in Tableau and Excel/PowerPoint resulting in a $3.4 million increase in ad revenue.

• Supported client development of omnichannel advertising strategies by providing consumer segmentation analysis, considering consumer spending habits and media consumption patterns.

• Utilized financial data and market forecasts from S&P Global Market Intelligence to inform business decisions for consumer product goods and manufactures.

Notable Projects

Probability Theory: Predicting Digital Markets, Summer 2024

• Developed an economic model using Monte Carlo simulation scripted in R to wrangle and analyze the Digital Economy's impact on U.S. GDP leveraging Bureau of Economics 2023 data. Project explores labor market dynamics, industry trends, and causal inference.

Statistical Modeling & Regression: Seasonal Inventory Prediction, Summer 2023

• Time series analysis of weekly inventory demand using Poisson regression modeling in R. Utilized feature engineering techniques and evaluated model performance.

Data Mining & Knowledge Discovery: Crime in Colorado, Spring 2023

• Analyzed the relationship between dispensary density and crime rates using linear regression modeling in R. Joined open-source datasets and created new variables from the Census API, Colorado Department of Revenue, and the FBI Uniform Crime Reporting Program.

SKILLS

Statistical Analysis & Predictive Modeling:

Hypothesis Testing, Causal Inference, Cross-

Validation, Exploratory Data Analysis

Machine Learning:

Algorithm Selection & Benchmarking,

Hyperparameter Tuning, Bayesian Optimization,

Feature Engineering & Selection

Marketing & Business Strategy:

Consumer Segmentation, Market Share Analysis,

Sales Attribution, Stakeholder Engagement

Data Manipulation:

API Interaction, AWS, Redshift

Data Story Telling & Visualization:

Tableau/PowerBI, Microsoft Office Suite, RShiny

Programming Languages:

R, SQL, Python

Project Management:

Salesforce, Jira, Sprint Planning, Notion, GitHub, Office 365

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