Cleveland Clinic

•	Coordinate outgoing referrals, answer incoming patient calls/emails/inquiries displaying courtesy, and schedule patients for appointments using Epic EMR in an accurate and timely manner
•	Diligently prepare appointment schedules for physicians and provide direct administrative support to physicians as required
•	Liaise with various clinical departments to coordinate in-house referrals, establish strong relationships with specialists and clinics to expedite patient referrals and create a seamless patient experience
•	Implemented a streamlined tracking system, replacing manual methods, resulting in significantly improved accuracy and ensuring timely annual physicals for all patients

Referral Coordinator

Kensington Eye Institute

•	Involved in the data quality control, data collection, and data analysis for ONDRI's retinal imaging data, ensuring strict adherence to public distribution standards
•	Interacted with research team members, faculty, project managers, health professionals, clinical groups, patients and other stakeholder groups; delivered educational presentations to demonstrate my data quality control methods; and trained site staff on study-specific tasks and procedures
•	Employed advanced R programming skills to develop automated scripts for detecting missing and out-of-range data, perform statistical calculations, and generate data summaries; ensured that quantitative and qualitative data quality were maintained throughout all aspects of data collection, processing, and management
•	Collaborated closely with researchers to address data validation queries, facilitating efficient investigations into anomalous data points and contributing to accurate outlier detection
•	Developed comprehensive data visualizations, including graphs and charts for scientific research papers, enhancing the presentation of key findings and facilitating data-driven insights as well as co-authored abstracts for conferences

Clinical Research Assistant for the ONDRI Project

Mount Sinai Hospital (Toronto), Sinai Health System

•	Led participant recruitment efforts for a critical COVID-19 research study, led site teams for recruitment, and assessed qualifications of participants from potential clinical study sites 
•	Liaised with Key Opinion Leaders (KOLs), investigators, and research staff to provide clinical and scientific data updates on progress; acted as a key point of contact on daily study data issues and edit checks; and collaborated with researchers to write abstracts
•	Performed robust data cleaning, organization, and analysis using Python, uncovering correlations between antibody response and diverse patient characteristics, such as age, gender, comorbidities, and vaccination status
•	Adhered to ICH-GCP, Canadian regulatory requirements, local ethics requirements, SOPs, and Clinical Development Guidelines, Investigator Integrity, and ensured compliance with all study procedures 
•	Managed data integrity, implemented a Microsoft Access-based tracking system for 1,500 participants, and presented Key Performance Indicator metrics to ensure accurate and organized data management 
•	Contributed to the development of general recruitment strategies, such as social media campaigns, reminder emails, outreach, etc.
•	Designed and maintained Microsoft Access and REDCap databases, data collection forms, error-checking methods, and related programs for efficient collection, analysis, reporting, and continuous improvements

Clinical Research Coordinator 

Baycrest Health Sciences

•	Led comprehensive quality control for longitudinal data, spanning diverse assessment platforms, employing R-based anomaly detection for precise outlier identification and enhanced data accuracy
•	Achieved significant milestones, including over 70% completion of data quality control for retinal imaging datasets and platforms, collaborating effectively with research team leads to ensure project success.
•	Applied advanced statistical techniques, including Partial Least Squares Regression, Correspondence Analysis, and PCA, to analyze outlier reports, extracting meaningful insights and contributing to research outcomes.
•	Independently undertook a high-impact project within a tight two-week timeline, developing a classification model in R to enhance diagnostic accuracy for Parkinson's patients, which would be used by clinical psychologists in their practice
•	Ensured that the conduct of clinical studies at sites is in accordance with the protocol and is compliant with Good Clinical Practice regulations, International Harmonization Guidelines, and Standard Operating Procedures (SOPs)

Research Assistant

Baycrest

•	Recruited and screened participants; executed precise neuroimaging testing utilizing magnetoencephalography (MEG) technology, meticulously recording brain wave data from research participants; and performed data organization and pre-processing to eliminate artifacts and noise, thus ensuring optimal data quality 
•	Collaborated effectively to diagnose and rectify complex MEG equipment issues, enhancing data reliability and research continuity
•	Managed daily lab routines, balancing competing priorities, and earned recognition through a nomination for the NSERC research award

Research Student at the MEG Lab

Ontario Shores Centre for Mental Health Sciences

•	Managed and directed three impactful research projects in psychiatric patient care, conducting recruitment and comprehensive semi-structured interviews with psychiatrists, nurses, patients, and other healthcare providers, ensuring adherence to research protocols
•	Utilized Excel and SPSS for qualitative and quantitative data analysis, culminating in meaningful insights for presentations at conferences, showcasing proficiency in data-driven insights
•	Interpreted complex privacy policies, ensuring accurate communication with participants about data storage and privacy safeguards

Research Student

Seasoned Clinical Research Professional with over 3 years of experience in a fast-paced Clinical Research environment. Proven track record of participant recruitment, data collection, data analysis, data protection, data management, qualitative research, research ethics, and patient retention by adhering to principles of good clinical practice (ICH-GCP) and standard operating procedures (SOPs). Excellent communication and interpersonal skills, ability to build effective relationships with research staff accompanied with exceptional project management skills. Motivated leader with strong organizational skills and a proven ability to conceptualize solutions to clinical research challenges. Technically well-versed in MS Office 365, MS Access, Statistical Software (SPSS), Python, R Language, etc.

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