Patrick Russell

Patrick Russell is a seasoned data science and marketing professional with over 12 years of experience in the field. He excels in leveraging the synergy between data science, technology, and marketing to enhance the efficiency, creativity, and problem-solving capabilities of marketing teams. Patrick focuses on transforming vast amounts of data into actionable insights through his expertise in predictive models, customer segmentation, recommendation engines, and various analytics techniques. His strong foundation in business analytics, marketing analytics, and strategy enables him to drive performance-based online marketing models and automated management solutions seamlessly.

Having a deep technical background, Patrick is well-versed in a plethora of tools and technologies including Python, Numpy, Scipy, pandas, Matplotlib, scikit-learn, and many more. He has a distinct proficiency in utilizing tools like SQL (Postgres, Redshift, MySQL, Presto), Git, Spark, and various AWS services such as EC2, DynamoDB, Redshift, Lambda, S3, among others. Patrick's expertise extends to data science techniques like Linear Regression, Logistic Regression, Random Forrest, clustering algorithms, and A/B testing models.

Patrick Russell holds a BS in Mathematics from Regis University and has held key positions in several organizations, including being a Co-Founder / COO at Health Sqyre, Director of Data Science at Craftsy, and VP Consumer Services at Rentbits. He has also made significant contributions as Senior Marketing Analyst, Director of Marketing & Analytics, and Consumer Acquisition Analyst at ServiceMagic. Patrick continues to expand his knowledge by exploring emerging technologies such as Clojure, Neural Networks, and serverless computing.

Passionate about continuous learning and growth, Patrick is dedicated to mastering new techniques and technologies in data science and marketing to stay abreast of industry trends and drive innovation in marketing strategies.