Michael Connor is a highly analytical and results-oriented Data Scientist with 12 years of experience, holding a Master of Science degree in Data Science. He possesses a strong background in statistical modeling, machine learning, and data visualization, with a proven ability to translate complex data into actionable business insights. Michael is passionate about leveraging cutting-edge technologies to solve real-world problems and drive innovation. He has a track record of leading data-driven projects from conception to deployment, effectively communicating findings to both technical and non-technical stakeholders. His expertise includes Python, R, SQL, TensorFlow, PyTorch, and cloud platforms like AWS and Azure.
Michael Connor's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Designed and implemented a machine learning model that predicted customer churn with 85% accuracy, leading to a 15% reduction in customer attrition within the first year of deployment and contributing to a significant increase in customer retention strategies.
Co-authored and published a research paper in a leading AI conference (e.g., NeurIPS Workshop) on 'Advancements in Sentiment Analysis for Unstructured Customer Feedback,' showcasing innovative techniques for extracting meaningful insights from text data.
Received an internal company award for developing a novel data pipelining architecture that improved data processing efficiency by 40%, enabling faster insights and more agile decision-making across the organization.
University of Wisconsin-Green Bay
University of Wisconsin-Green Bay
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American Technology Consulting (ATC) is an independent technology consulting firm that helps businesses navigate the complexities of IT and digital transformation. They provide vendor-neutral expertise in areas such as cloud services, voice solutions (UCaaS/CCaaS), cybersecurity, network connectivity, and managed IT services. ATC focuses on understanding client needs to recommend and implement tailored technology solutions that drive efficiency and business growth.
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