Biostatistician | Data Scientist | Clinical Research | Machine Learning

Biostatistician and Data Scientist with 7+ years of experience across clinical development, healthcare analytics, quantitative modeling, and machine learning.

My background combines clinical research, regulatory biostatistics, and applied data science with experience supporting statistical analysis plans, FDA-aligned documentation, clinical database development, and predictive modeling using R, SAS, Python, and SQL.

• Machine Learning
• Biostatistics
• Survival Analysis
• Longitudinal Data Analysis
• Clinical Trial Analytics
• Predictive Modeling
• Deep Learning (In Progress)

• R
• SAS
• Python
• SQL

• Regression Modeling
• Classification Modeling
• Tree-Based Methods
• Random Forests
• Model Evaluation
• Feature Engineering
• Cross Validation
• Hyperparameter Tuning

• Applied Linear Regression
• Bayesian Methods
• Clinical Biostatistics
• Survival Analysis
• Mixed Effects Models
• Longitudinal Analysis
• Statistical Analysis Plans (SAPs)

• Phase 2–3 Clinical Studies
• PK/PD Analysis
• Population PK Modeling
• Clinical Data Processing
• Regulatory Documentation
• FDA Submission Support

End-to-end machine learning projects developed from IBM Machine Learning coursework and rebuilt into production-style workflows.

Topics:

• Data Engineering
• Exploratory Data Analysis
• Supervised Regression
• Classification Modeling
• Unsupervised Learning (In Progress)

🔗 https://github.com/niecestroa/pro-ibm-ml-course-projects

Advanced survival analysis workflows using industry-standard statistical methods.

Topics:

• Kaplan-Meier Estimation
• Cox Proportional Hazards Models
• Survival Diagnostics
• Time-to-Event Analysis

🔗 https://github.com/niecestroa/pro-survival-modeling-lab

Mixed-effects modeling of developmental outcomes using longitudinal cohort data.

Topics:

• Random Intercepts
• Random Slopes
• Longitudinal Modeling
• Clinical Research Analytics

🔗 https://github.com/niecestroa/pro-longitudinal-analysis-autism

Production-style predictive modeling and exploratory analytics for real estate valuation.

🔗 https://github.com/niecestroa/pro-dc-property-modeling-lab

• Doctoral Coursework in Biostatistics & Data Science
• MS, Biostatistics
• MS, Quantitative Analysis
• Graduate Certificate in Data Science
• BA, Economics (Mathematics Minor)

• IBM Machine Learning Professional Certificate
• Tree-Based Machine Learning Methods (ASA)
• University at Buffalo PK/PD Workshops

• Clinical Trial Methodology
• Precision Medicine
• Machine Learning for Healthcare
• Pharmacometrics
• Biostatistics
• Predictive Analytics

• LinkedIn: www.linkedin.com/in/aaron-niecestro-m-s-a4332712b
• GitHub: www.github.com/niecestroa