Hello , I’m a researcher passionate about advancing healthcare through the power of machine learning, artificial intelligence, and predictive analytics. I recently completed my Master's in Applied Science at the University of North Carolina at Greensboro, where I explored interdisciplinary methods for improving patient outcomes in both clinical and public health settings.
My work bridges the gap between data and care, with research spanning cardiovascular disease prediction, natural language processing in healthcare, and AI-driven clinical trial optimization. I’ve co-authored peer-reviewed publications on topics like early diagnosis of chronic diseases, predictive modeling using machine learning , and the integration of big data into healthcare systems.
My research is contributing to the growing body of knowledge in machine learning, health informatics, and predictive analytics, helping to inform and advance the field. I'm driven by the goal of making precision medicine more intelligent, inclusive, and impactful.
Research Interests
Professional Skills
Research Experience
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Supported instructional delivery and student learning in graduate-level data analytics courses, assisting in curriculum development, grading assignments, and leading lab sessions on topics such as statistical modeling, computational analysis, and data visualization.
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Conducted independent and collaborative research, applying data analytics methods to experimental studies and real-world datasets under the supervision of the Principal Investigator (PI).
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Performed statistical analyses using R, Python (pandas, NumPy, SciPy), and SPSS on structured and unstructured datasets, including medical record and survey data; generated reports and visual dashboards for academic and institutional review.
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Drafted analytical findings and research documentation, incorporating feedback from the PI and research team to refine models, enhance clarity, and ensure reproducibility.
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Collaborated with faculty to maintain data collection protocols, update research databases, and prepare study documentation in compliance with IRB and institutional standards.
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Conducted literature reviews to identify emerging trends in data science and healthcare analytics; presented summaries and data insights during team meetings and student seminars.
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Provided one-on-one academic support and office hours to reinforce foundational and advanced analytics concepts, ensuring a high level of student engagement and comprehension.
Work Experience• Built and deployed machine learning models using Python to enhance data-driven decision-making, aligning closely with strategic goals in a collaborative environment.
• Analyzed extensive datasets utilizing SQL, Databricks, and AWS to identify insights and trends, skills essential for ETL, data lakes, and warehouse solutions.
• Developed interactive dashboards and reports with Tableau, Power BI, and Excel, facilitating data-driven insights for various stakeholders.
• Effectively communicated complex data science concepts through reports tailored to both technical and non-technical audiences, demonstrating a strong understanding of structured data and analytics.
• Collaborated cross-functionally with business teams, ensuring alignment of data solutions with strategic goals and initiatives, essential forsupporting business group segments
• Analyzed and interpreted complex datasets to provide actionable insights and support data-driven decision-making processes for variousbusiness units at ADP.
• Extracted, transformed, and loaded data using SQL and ETL processes, streamlining data workflows and reducing processing time by 30%
• Conducted statistical analysis in SPSS and R to uncover actionable insights, driving a 15% increase in campaign effectiveness
• Developed dynamic dashboards and visual reports using Power BI and Tableau, cutting manual reporting hours by 40% and enhancing stakeholder decision-making
• Standardized data visualization practices and integrated advanced analytical tools, resulting in a 35% improvement in data accuracy and 20% faster insight delivery
• Provided frontline technical support to internal customers, efficiently diagnosing and resolving hardware, software, and network connectivity
issues, ensuring timely resolution of incidents and service requests.
• Implemented a chatbot for instant assistance, handling 1,000+ inquiries per week and improving response times and user satisfaction.
•Facilitated support for online course delivery for over 500 university members by providing comprehensive support and troubleshooting for Instructure's
Canvas LMS, achieving a 95% resolution rate within 24 hours.
• Collaborated with cross-functional teams to assist with the installation, configuration, and maintenance of hardware and software components,
including desktops, laptops, and operating systems, while ensuring adherence to service level agreements (SLAs) and ITIL best practices.
• Documented support activities in the IT service management (ITSM) tools, maintaining comprehensive records for future reference and
analysis. Participated in IT projects and initiatives, such as system upgrades and deployments, providing technical expertise and support as required.
• Provided on-call support as needed, demonstrating flexibility to accommodate business requirements and maintain service continuity.
• Enhanced customer service culture by delivering high-quality service with professionalism, patience, and empathy in all interactions with
internal stakeholders.
Education
Judge of The Works of Others
Membership
Certifications
Prizes and Awards
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