Samuel Freel, Phd Email & Phone Number

Atlanta, Ga, Us

New York, United States

✔ In the first ten months of my tenure at A—B, I gained three direct reports, was promoted to senior leadership, and was assigned to lead research for our largest client.✔ Headed a mixed-method user experience study involving focus groups, usability tests, user interviews, and site traffic analysis. Resulted in numerous recommendations for website improvements andconsumer outreach.✔ Developed and implemented scalable research operations that dramatically reduced labor costs while improving insights' quality.✔ Headed custom research projects to inform strategic and tactical directions for clients and other teams. Managed budgets, timelines, and cross-team collaboration.✔ Innovated operations and methodologies in response to organizational goals and strategic challenges, improving cross-team collaboration, operational efficiency, insights quality, and clarity of findings delivery.✔ Developed and implemented training and culture-building programs to foster professional development and camaraderie.✔ Managed junior researchers, providing mentorship, statistical/methodological training, and guidance for setting and achieving goals.✔ Recognized for excellent presentation skills and for talent in translating research findings into actionable recommendations, tailored for non-researcher audiences.✔ Facilitated collaboration across departments to ensure alignment on key objectives and work plans, brainstorm solutions, and develop models of cross-team collaboration.

Lead instructor of research methods for graduate and undergraduate students • Teaching / Training: Crafted creative and engaging pedagogical approaches that significantly improved students’ writing and research abilities. • Storytelling and Communication: Designed innovative techniques to build intuition and comprehension of technical subject matter.

Plan nedand executed full-cycle research projects to better understand and predict target outcomes and behaviors.• Data Analysis: Utilized advanced statistics (e.g., logistic regression, structural equation modeling, factor analysis) to explain and predict critical outcomes, deepen understanding of key processes, identify trends, and support strategic decision-making. • Quantitative Research: Structured complex research problems into clear, testable questions. Designed and conducted studies using multiple methodologies (i.e., experiments, surveys) strategically tailored to produce quality insights. • Project Management: Planned and executed a long-term road map to achieve objectives within established timelines. Delegated tasks and initiated feedback processes to ensure quality and timely completion. • Data Management and Programming: Collected and managed numerous datasets. Program scripts in R and Stata to manipulate, query, clean, analyze, and ensure quality of data. • Leadership and Teaching / Mentoring: Supervised a team of research assistants, training them in research methodology, statistics, and data management. • Storytelling: Synthesized disparate data sources to deliver compelling and intelligible narratives to audiences at international conferences. • Measurement/Psychometrics: Designed, piloted, and validated assessment tools and indicators to capture critical outcomes and processes.

Led a team project that resulted in best practice recommendations that were disseminated across the industry • Process Improvement: Integrated insights from research and qualitative interviews to produce numerous recommendations to organizations to improve best practices and optimize impact. Lead strategic meetings with leadership. Provided feedback that inspired a re-imagination of one organization’s business plan. • Process Development and Measurement: Develop a list of processes to help non-technical employees assess program performance. • Process Mapping: Design theories of change to visually depict the chain of events leading from operations to intended impacts, facilitating problem-solving and resource allocation.

Nyc

Conducted data analysis to support multiple studies assessing program effectiveness • Data Analysis and Measurement: Used psychometric theory and methodology (i.e., generalizability study) to determine the reliability of and identify means of improving the reliability of performance measures. • Data Management and Programming: Used programming languages to clean, manipulate, and analyze data to evaluate program effectiveness and identify areas of improvement.

RA at Culture and Emotion Lab

Baltimore

Doctor Of Philosophy - Phd, Applied Psychology

Master Of Arts (M.A.), Teaching, 3.75

Bachelor'S Degree, Political Science And Government, 3.54