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anmolminaz966

Anmol M

@anmolminaz966

Research analyst and project coordinator

Canada
English
About me
I am a research analyst and project coordinator with an MPH (Epidemiology) from Emory University and over 3 years of experience managing multi-stage research projects from design through reporting. I am skilled in data quality assurance, project documentation, and translating complex data into clear, actionable outputs.... Read more

Skills

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anmolminaz966
Anmol M
Offline • 
Average response time: 1 hour

See my services

Statistical Modeling & Analytics
I will perform statistical data analysis using stata, r, SAS, or python
Graphs & Charts
I will create publication ready data visualizations using r

Work experience

Not Found

2 yrs 1 mo

Senior Instructor

Jan 2024 - Jun 20251 yr 5 mos

• Coordinated end-to-end research projects from study design through data collection, quality checking, analysis, and reporting, managing timelines and documentation across multiple concurrent projects • Performed in-depth quality checks at every stage of the research process, including questionnaire review, data validation, and output verification • Maintained accurate project documentation and file management across multiple active studies • Liaised with internal and external stakeholders to identify and resolve project issues as they arose • Translated complex data findings into clear reports and presentations for diverse audiences

Research Specialist

Jul 2023 - Dec 20235 mos

• Managed a large-scale, multi-stage systematic review project, coordinating screening, data extraction, quality assessment, and reporting across 4,400+ records • Performed structured quality checks at every stage of the data pipeline to ensure accuracy and consistency of outputs • Produced structured evidence reports and data tables for international clients (WHO Guideline Development Group) • Identified gaps and inaccuracies in data and escalated findings to inform decision-making

Graduate Research Assistant

May 2022 - Aug 20223 mos

• Built and validated a data processing pipeline for a large NIH-funded dataset (n=282, 880 variables) using SAS, including cleaning, recoding, and verification • Conducted a 20% audit-based quality assurance process to identify and resolve data errors, ensuring accuracy throughout the project lifecycle • Developed standardized codebooks and SOPs to maintain consistency across the project team • Processed and managed clinical data from electronic medical records into analysis-ready datasets