Dawn Loudermilk
Lancaster,OH
Summary
AI Data Specialist with 35+ years of experience in data science, machine learning, and artificial intelligence. Proven track record in developing and optimizing algorithms, managing large datasets, and delivering data-driven solutions across multiple industries, including healthcare, finance, and retail. Adept at leading cross-functional teams and advising clients on AI adoption strategies. Passionate about harnessing the power of data to drive innovation and business success.
Overview
25
25
years of professional experience
Work History
Senior AI Data Specialist
IBM
Columbus, OH
03.2015 - 09.2025
- Lead the development of AI-powered solutions for enterprise clients across various industries, including healthcare, finance, and manufacturing.
- Managed the integration of machine learning algorithms into IBM’s Watson platform, significantly improving data analysis capabilities for predictive maintenance and customer service automation.
- Collaborated with clients to design and implement tailored AI models that improved operational efficiency by up to 30%.
- Supervised a team of data scientists and engineers to deliver real-time analytics and machine learning models using IBM Cloud.
- Pioneered NLP applications for automated customer interaction, reducing response time by 40%.
Lead Data Scientist
Amazon Web Services (AWS)
Seattle, WA
08.2008 - 12.2014
- Spearheaded machine learning initiatives in AWS's Big Data division, including predictive analytics models and algorithms for real-time data processing.
- Developed a recommendation engine for e-commerce clients, increasing user engagement and sales conversions by 15%.
- Worked with AWS clients to optimize cloud infrastructure for large-scale data processing, ensuring scalability and performance.
- Delivered insights from millions of records using AWS technologies like Redshift, S3, and Lambda to improve customer retention rates for retail clients.
- Led cross-functional teams to integrate machine learning solutions into AWS services, contributing to AWS's expansion in the AI and machine learning market.
Senior Data Analyst
GE Technologies
Redmond, WA
06.2000 - 01.2008
- Managed end-to-end data analysis projects, including data cleaning, transformation, and visualization, supporting key business units such as marketing and product development.
- Built statistical models and conducted trend analysis to inform decision-making for the company's online services division.
- Developed custom data dashboards for senior leadership, providing actionable insights into customer behavior and market trends.
- Worked closely with the Azure team to analyze cloud usage data, identifying trends and opportunities to improve customer experience.
Education
Master of Science - Computer Science
University of Ohio
Columbus, OH05-1989
Bachelor of Science - Mathematics
The Ohio State University
Columbus, Ohio, OH05-1984
Skills
- Microsoft office proficiency
- Spreadsheet management
- Compiling data
- Data governance
- Programming Languages: Python, R, SQL, Java, C
- Machine Learning: TensorFlow, Scikit learn, LightGBM
- Data Visualization: Power BI
- Data Processing: Pandas, Apache Spark
- Cloud Computing: AWS, Microsoft Azure, Google Cloud
- Big Data Technologies: Hadoop, Spark, NoSQL (MongoDB, Cassandra)
- Statistical Analysis: Regression, Time Series Analysis, Hypothesis Testing
- Natural Language Processing (NLP): Text Classification, Sentiment Analysis, Named Entity Recognition (NER)
Languages
English
Native or Bilingual
Spanish
Full Professional
Timeline
Senior AI Data Specialist
IBM
03.2015 - 09.2025
Lead Data Scientist
Amazon Web Services (AWS)
08.2008 - 12.2014
Senior Data Analyst
GE Technologies
06.2000 - 01.2008
Master of Science - Computer Science
University of Ohio
Bachelor of Science - Mathematics
The Ohio State University