Clinical Research Data Analyst Python SQL Power BI MIT Quant

Samrah Ahmad Lake Bluff, IL 1-331-***-**** ******.*******@*****.*** Samrah Ahmad LinkedIn samrahsamrah (Samrah Ahmad)

Results-driven clinical research professional transitioning into Data Analytics & Health Informatics. I am currently completing a Master of Science in Information Technology (Data Analytics) at Purdue Global while holding MIT Quantum Computing and Simplilearn AI Engineer certifications. Proven expertise in clinical data management, regulatory compliance, and protocol-driven research at Abbott Laboratories and Rush University Medical Center. Skilled in Python, Power BI, MySQL, and statistical analysis; eager to deliver actionable insights in healthcare and life sciences. Technical Skills, Programming & Scripting: Python (pandas, NumPy, matplotlib, seaborn – beginner to intermediate)

Data Visualization & BI: Power BI (Intermediate), Excel (Advanced – PivotTables, Power Query, VBA)

Databases: MySQL, Microsoft Access, Database Design & Modeling

Machine Learning / AI: Supervised & Unsupervised Learning, Deep Learning basics, Generative AI & Prompt Engineering

Tools: RStudio, Git, Jupyter Notebook

Standards & Compliance: ICH-GCP, FDA 21 CFR Part 11, ALCOA-C, HIPAA

Professional Experience

Data Coordinator

Abbott Laboratories – Lake Forest, IL

January 2025-October 2025 – Manage and validate clinical trial datasets for cardiac and diagnostic device studies

oDesign and maintain data collection workflows using Excel Power Query and MySQL

oCollaborate with biostatisticians and data managers to ensure 100% audit-ready datasets

Clinical Research Associate (CRA) – Level B

Abbott Laboratories – Lake Forest, IL

Aug 2022 – October 2024

oConducted on-site and remote monitoring visits for 15+ global clinical trials

oVerified source data against CRFs, achieving <1% discrepancy rate during audits

oTrained site staff on EDC systems and protocol requirements across 20+ investigational sites

oReduced query resolution time by 30% through proactive data review processes

Clinical Research Coordinator

Rush University Medical Center – Chicago, IL

Aug 2021 – Jul 2022 Managed full lifecycle of oncology trials (Lung, Breast, GI, GU, Melanoma, Sarcoma)

oScreened and enrolled 150+ patients while maintaining 100% IRB compliance

oBuilt and maintained study databases; performed data cleaning and quality checks

Education

Master of Science in Information Technology – Data Analytics (Anticipated Dec 2025)

Purdue Global – West Lafayette, IN

Relevant Coursework: Python Programming, Database Design, Statistics for Analysis, Data Modeling

Master of Healthcare Administration – 2016

Kaplan University (now Purdue Global)

Bachelor of Science in Health Sciences – 2013

Kaplan University (now Purdue Global)

Certifications & Professional Training

oQuantum Computing Fundamentals – MIT xPRO (2025)

oArtificial Intelligence Engineer Master’s Program – Simplilearn (2024)

Deep Learning, Generative AI, Prompt Engineering, Python for Data Science

oDesign and Interpretation of Clinical Trials – Johns Hopkins University (2020)

oClinical Research Coordinator Fast Track – Clinical Research Fastrack (2020)

oICH GCP E6(R2), FDA 21 CFR Parts 11/50/54/56

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