Galagher Jeff
Raleigh, North Carolina,United States
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Galagher Jeff is a passionate and results-oriented Senior Data Scientist with 12 years of experience in leveraging machine learning, statistical modeling, and big data technologies to solve complex business problems. With a strong background in developing predictive models, NLP solutions, and data-driven strategies, Galagher excels at transforming raw data into actionable insights that drive innovation and growth. They are dedicated to continuous learning and applying cutting-edge techniques to extract value from data, and have a proven track record of leading impactful projects from conception to deployment in fast-paced environments. Galagher is also a keen advocate for data literacy and enjoys mentoring emerging talent in the field.
Professional Summary
Galagher Jeff's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Optimized Recommendation Engine Performance
Led a project to refactor and optimize the company's core recommendation engine, resulting in a 25% increase in user engagement and a 15% uplift in conversion rates.
Published Research on Novel Anomaly Detection Technique
Authored and presented a paper at the 'International Conference on Machine Learning (ICML) 2022' on a novel unsupervised anomaly detection algorithm, now adopted in several internal fraud detection systems.
Data Science Team Mentor of the Year 2023
Recognized for outstanding mentorship and guidance provided to junior data scientists, fostering a collaborative and innovative team environment.
Educational Background
MBA/MS Engineering, Strategy, Marketing, Operations
Northwestern University - Kellogg School of Management - Year 1997
MBA International Program
IESE Business School - Year 1998
BS, Electrical Engineering
Mississippi State University - Year 1993
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Company Overview
Murphy USAMurphy USA Inc. is a leading American retailer of gasoline and convenience merchandise, primarily located in close proximity to Walmart stores. They focus on providing high-volume, low-cost fuel options and a curated selection of convenience items, including snacks, beverages, and tobacco products, to on-the-go customers across numerous states. Their business model emphasizes operational efficiency and competitive pricing to attract a broad customer base.
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