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    Dahanah Sejour

    Data Scientist @ Booz Allen Hamilton - DS4A Data Science Fellow @ Correlation One

    Professional Background

    Dahanah Josias Sejour is a seasoned Data Scientist with over eight years of extensive experience in the realm of data analysis and optimization. Currently serving as the Lead Scientist at Booz Allen Hamilton, Dahanah brings a wealth of knowledge in data-driven decision-making, focusing on optimizing data processes and enhancing data quality through innovative automation techniques. Throughout her career, she has honed her ability to translate complex data sets into actionable insights, making data more accessible and understandable for non-technical stakeholders. This passion not only drives her work but also aids organizations in harnessing the full potential of their data to meet strategic goals.

    Dahanah's career trajectory reflects a consistent commitment to improving organizational efficacy through data. She has held various positions across renowned institutions, allowing her to develop a unique blend of analytical expertise and a deep understanding of healthcare, public health, and community needs. Her vast experience, ranging from data management to analytic consulting, showcases her versatility and ability to adapt in various industries, including health and wellness.

    Education and Achievements

    Dahanah is well-educated in the fields of public health and psychology, holding a Master of Public Health (MPH) with a focus on Behavior Sciences and Health Education from Emory University. This advanced degree has equipped her with critical insights into public health issues and behavioral research, providing a solid foundation for her analytical pursuits in health-related fields. Furthermore, she earned her Bachelor's degree in Psychology and Kinesiology & Health Sciences from The College of William and Mary, further enhancing her understanding of human behavior and health dynamics.

    To enrich her technical skills, Dahanah also participated in the Data Science for All program offered by Correlation One. This intensive program has given her the tools needed to excel in data science, including machine learning and statistical analysis, thus elevating her capability to tackle complex data-driven challenges effectively.

    Career Experience

    Dahanah’s professional journey includes a number of significant roles that underscore her diverse skill set. At Booz Allen Hamilton, as Lead Scientist, she leads data science initiatives, empowers teams with data solutions, and drives a culture of data literacy within the organization. Previously, she gained valuable experience as an Analytic Consultant Intern at Kaiser Permanente, where she contributed to improving data acquisition and analysis processes in support of health care quality initiatives.

    Prior to this, she served as a Data Manager and Analyst at TVEvans Consulting, LLC, where she was responsible for gathering and refining data to support consulting projects. Dahanah began her career in the health field at Emory University as a Community Needs Assessment Assistant, enabling her to evaluate and analyze community health needs comprehensively. Her background also includes significant experience from her time at the Centers for Disease Control and Prevention (CDC), where she worked both as an ORISE Fellow and as a Research Assistant, contributing to public health research and data evaluation.

    Dahanah’s commitment to her professional development is reflected in her roles as an Evaluation and Outreach Intern at Wholesome Wave Georgia and a Campus-Base Leader for the Gates Millennium Scholarship. These opportunities not only strengthened her analytical capabilities but also deepened her understanding of community outreach and evaluation processes within various health initiatives.

    Achievements

    Dahanah has achieved remarkable milestones throughout her career in data science and public health. Her ability to harmonize technical skills with strategic planning has been a cornerstone of her success, enabling her to deliver impactful projects that underscore how data can lead to significant health improvements. Her work in community needs assessments and health education has been particularly noteworthy, emphasizing the importance of evidence-based decision-making in public health policy and program development.

    Through her professional journey, Dahanah has demonstrated a commitment to enhancing data quality through automation and standardization, helping organizations streamline their data processes. Her innovative approach to data analytics has not only facilitated better health outcomes but also empowered non-technical personnel to leverage data insights for improved organizational strategies.

    In addition to her professional achievements, Dahanah continually seeks growth in her field, evidenced by her participation in advanced training programs like Data Science for All. This dedication to lifelong learning ensures that she remains at the forefront of data science trends and technologies, reinforcing her role as a pivotal figure in the industry.

    Dahanah Josias Sejour is an exemplary data scientist whose journey is marked by an unwavering commitment to utilizing data for good, a passion for education, and an ability to foster data literacy among stakeholders. Her rich background and expertise reveal a professional deeply invested in not just her own growth but also in the advancement of the fields of data science and public health.

    Related Questions

    How did Dahanah Josias Sejour develop her expertise in data science and public health?
    What specific techniques does Dahanah employ to enhance data quality through automation?
    In what ways has Dahanah's educational background influenced her career in data analytics?
    What are some notable projects that Dahanah has led as the Lead Scientist at Booz Allen Hamilton?
    How has Dahanah contributed to making data more accessible for non-technical personnel in organizations?
    Dahanah Sejour
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    Location

    Washington DC-Baltimore Area