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    Craig Armstrong

    Residual Value Forecasting Manager at Toyota North America

    Professional Background

    Craig Armstrong is a results-driven professional known for his expertise in analytics and statistical modeling. With extensive experience across multiple industries, he has demonstrated his ability to thrive in fast-paced, dynamic environments. Over the years, Craig has developed a proven track record as both a performer and a leader, making significant contributions to the organizations he has been part of.

    Currently, Craig holds the position of Residual Value Forecasting Manager at Toyota North America, where he continues to enrich his career with in-depth analytics and predictive modeling strategies. Prior to this, he showcased his analytical acumen as the Associate Director of Measurement Science at Hearts & Science, where he focused on innovative analytic solutions that meet the ever-evolving demands of strategic business needs.

    His leadership experience extends further back, having served as the Director of Strategic Business Analysis at Targetbase, where he played a crucial role in steering business insights and effective decision-making processes. Craig’s career also includes remarkable tenures at Citi, where he held the role of VP, Credit and Portfolio Risk Analyst III, and at The Nielsen Company, where he was a Senior Measurement Scientist.

    Throughout his journey, Craig has consistently engaged and partnered with both internal and external clients to present new analytic solutions that drive growth and efficiency.

    Education and Achievements

    Craig's educational foundation is solidly rooted in finance and economics, having studied both a Bachelor of Business Administration (BBA) and a Bachelor of Arts (BA) at the prestigious Southern Methodist University. His academic pursuits provided him with critical analytical skills that have proven beneficial throughout his career.

    Craig is not only committed to his professional development but is also actively pursuing further qualifications, specifically a Python certification. This initiative illustrates his dedication to embracing new technologies and programming languages to enhance his analytics capabilities and keep pace with industry advancements.

    Notable Skills and Specialties

    Craig possesses a diverse skill set, specializing in change management, segmentation, predictive models, and time series forecasting. He is proficient in using advanced analytics software such as SAS, SQL, EViews, and ForecastPro to deliver insightful analyses that support organizational strategies. This range of expertise enables him to conduct comprehensive data analysis and provide solutions that address complex business challenges.

    With a proven ability to implement new analytic frameworks, Craig establishes collaborative relationships with clients, promoting a culture of data-driven decision-making. His passion for this field is evident in his commitment to continuous improvement and professional growth, positioning him as a pivotal figure in analytics within the organizations he serves.

    Achievements

    Throughout his career, Craig has been instrumental in initiating and recommending analytic solutions that align with business objectives and improve operational efficiencies. His experience spans across several well-known companies, allowing him to harness best practices from various sectors.

    As a thought leader in the analytics community, Craig has dedicated himself to breaking down complex ideas into compelling presentations that resonate with stakeholders across the business landscape. His ability to communicate analytical insights effectively ensures that organizations can implement data-driven strategies that propel growth and innovation.

    Overall, Craig Armstrong exemplifies a dedicated professional whose love for analytics and leadership is reflected in his achievements and ongoing commitment to personal and professional excellence.

    Related Questions

    How did Craig Armstrong develop his expertise in analytics and statistical modeling?
    What strategies has Craig Armstrong implemented at Toyota North America to enhance forecasting accuracy?
    In what ways has Craig Armstrong contributed to the success of teams at Hearts & Science and Targetbase?
    How does Craig Armstrong utilize his skills in predictive modeling and time series forecasting in his current role?
    What inspired Craig Armstrong to pursue a Python certification, and how does he plan to apply this new skill?
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    Location

    Dallas/Fort Worth Area