Hire the Best Scikit-Learn Specialists in New Jersey

Princeton-based Learning Architect and Educational Psychologist holding an Ed.M. from Rutgers University specializing in Instructional Design, Cognitive Load Theory, and high-stakes learning evaluation for enterprise, healthcare, and EdTech. I apply Psychometrics, Logic Models, and Program Evaluation to translate complex technical and medical content into measurable behavioral outcomes. My enterprise experience includes designing global workforce upskilling and partner training architectures for technology leaders like Microsoft. In healthcare, I architect accredited Continuing Medical Education courseware, branching patient case simulations, and Grant Strategy proposals that track clinical practice change. For digital learning platforms and SaaS tools, I eliminate cognitive friction, conduct usability audits, and validate high-stakes assessment question banks. I also lead C-suite curriculum development and adult learning strategy for national executive education initiatives like SBA T.H.R.I.V.E. Whether you need to audit an existing course library or build a sellable learning product from scratch, I ensure your curriculum is grounded in sound cognitive science.

I am a biostatistician and research methodologist who designs studies, writes protocols, and runs the analyses that get research funded and published. I have written successful NIH and biotech grants, published 10+ manuscripts in high-impact journals including Nature and Gastroenterology, and presented at the American Society of Clinical Oncology. I hold a Bachelor's in Biophysics from Harvard and a Master's in Data Science from Columbia, and I carry a 100% Job Success Rating across every client I have worked with on this platform. I work with academic investigators, biotech and medtech companies, and clinical teams who need the statistical backbone of a study built correctly the first time. That means a protocol that will survive review, an analysis plan written before the data arrives, and results reported in a form a journal or a funder will accept. WHAT I DO: * Research protocol development, including aims, endpoints, eligibility criteria, and study procedures * Study design across observational, retrospective, and interventional research * Statistical analysis plans, sample size justification, and power analysis * Statistical analysis and interpretation, including regression modeling, survival analysis, longitudinal and repeated measures data, and diagnostic accuracy * Grant preparation for NIH and private funders, covering the statistical and methodological sections * Manuscript support, from methods and results writing through reviewer response * Clinical and real world data analysis using EHR data, ICD-10 coded records, and clinical databases under HIPAA constraints * Publication quality figures, tables, and data visualization TECHNICAL SKILLS: * R and Python for statistical computing, with SQL for clinical database work * Machine learning and predictive modeling with scikit-learn, PyTorch, TensorFlow, numpy, and pandas * Reproducible analysis pipelines and documented, auditable code * Business intelligence and reporting in Tableau, PowerBI, and Excel * Applied AI where it accelerates research work, including literature screening, protocol drafting support, and extraction of structured data from PDFs and clinical documents using large language models and retrieval systems * AI dashboards built in Streamlit, Gradio, and Hugging Face so teams can interact with their own data directly BACKGROUND: * Co-Founder and CTO of Daldot, a biotech company acquired by Nutromics, an Australian medtech company, in 2021 * 10+ peer reviewed publications in journals including Nature and Gastroenterology * Research presented at ASCO and the Columbia University Data Science Institute Machine Learning in Science and Engineering Conference * 2nd Place, Columbia University Data Science Institute COVID-19 Data Challenge * Columbia University SEAS GSA Black History Month Alumni Spotlight, 2023 TEACHING: * Guest Lecturer at Columbia University, Cornell Tech, the Roux Institute, and the Founder Institute * Developed a course on emotional intelligence for startup founders at Harvard University with 1,000+ students enrolled EDUCATION: * Master's in Data Science, Columbia University * Bachelor's in Biophysics, Harvard University If you have a study that needs designing, a protocol that needs writing, or data that needs an analysis you can defend, get in touch!

I'm an instructional leader that specializes in data analysis and content knowledge. I have extensive knowledge of learning standards, multisensory reading, and best practices in education.

Thank you for visiting my profile. With a robust background in business management research, as a Doctor of Management in Organizational, I specialize in leveraging data-driven strategies to enhance health and wellbeing for individuals and organizations. I have collaborated with corporations in AdTech, hospitality, healthcare and nonprofit segments where I have contributed my expertise in administration, project design, implementation, evaluation, analysis and digital business initiatives. What I Offer: Data Analysis and Predictive Modeling: I provide actionable insights to anticipate business trends by leveraging both quantitative and qualitative research methods. I am skilled in data cleaning using Python libraries like Pandas and in building predictive models with Scikit-learn to examine the relationship between business predictors and outcomes. My experience with platforms such as Qualtrics, SPSS, and SurveyMonkey, ensures rigorous study design, data collection, and analysis, all tailored to your project’s specific needs. Program and Policy Evaluation: I bring extensive experience in evaluating business programs and policies, ensuring that each evaluation is grounded in rigorous research and tailored to meet your project’s specific needs. My expertise encompasses survey design, data analysis, evidence synthesis, and qualitative research methods, including Delphi panels when required. This comprehensive approach delivers nuanced, evidence-based recommendations that guide strategic decision-making and future program enhancements. My work spans various areas, including human resource management where I implement and evaluate HR strategies and policies; organizational development by using research and evidence to drive organizational change; strategic management through the application of data-driven insights to inform business strategy and decision-making; and business analytics by leveraging data analysis for informed business decisions. Business Writing and Systematic Reviews: I am proficient in drafting research protocols and conducting thorough evidence synthesis projects, including systematic, scoping, and rapid reviews. I am a specialist in HR Strategy, Employee Engagement, and Data-Driven Insights | ScientistWith expertise in tools like SPSS, End note, CRM, Survey Monkey, LMS, Microsoft Project, Smartsheet, Google Workspace, HRIS ,and Microsoft 365. I ensure that every review is conducted with rigor and efficiency, delivering high-quality, evidence-based insights that inform policy and practice. Additionally, I can support your technical writing needs, merging an evidence-informed approach with the needs of your audience. I am open to both short-term and long-term collaborations and am committed to maintaining a consistent response time to ensure seamless communication. I look forward to hearing from you. Dr. Joyner