Machine Learning, Data Science, Mathematical Statistics, R, Python

Jennifer Favaloro, MS

Data Science Biostatistics

Atlanta, GA 706-***-**** ********.*.********@*****.***

LinkedIn: https://www.linkedin.com/in/jennifer-favaloro-9b5ba467/

Professional Summary

Accomplished biostatistician and data scientist with a distinguished record of leadership in the design, execution, and interpretation of advanced statistical models for global public health initiatives. Expertise spans epidemiological research, machine learning applications, and survey methodology, with a demonstrated ability to integrate robust analytical frameworks into evidence-based decision-making. Adept at fostering collaborations with governmental and international health organizations, optimizing large-scale data structures, and developing methodologies that drive high-impact policy outcomes. Proficient in SAS, R, Stata, and Python for rigorous statistical computing, data visualization, and predictive modeling.

Core Competencies

Advanced Statistical Modeling & Predictive Analytics

High-Dimensional Data Management & Visualization

Bayesian & Frequentist Inferential Techniques

Epidemiological Surveillance & Public Health Informatics

Complex Survey Design & Sampling Theory

Computational Techniques in Machine Learning

Research Methodology & Scientific Manuscript Development

Programming: SAS, R, Stata, Python, SQL

Professional Experience

Centers for Disease Control and Prevention (CDC) Atlanta, GA

Senior Mathematical Statistician Division of Global HIV & TB 2020 – Present

Spearhead analytical strategies for global HIV and TB research initiatives, employing advanced statistical techniques to inform public health interventions.

Provide strategic consultation to Ministries of Health, fostering the adoption of quantitative methodologies for epidemiological modeling and health policy evaluation.

Design and implement bespoke training curricula on statistical methodologies, equipping domestic and international professionals with advanced analytical proficiencies.

Serve as a principal investigator and contributing author in peer-reviewed journals, advancing statistical methodologies in epidemiology and biostatistics.

Mathematical Statistician Global Non-communicable Diseases 2015 – 2020

Conducted statistical consulting on noncommunicable disease surveillance, leveraging predictive models to enhance global health initiatives.

Engineered complex survey methodologies and statistical frameworks to optimize mobile data collection platforms such as Surveda.

Oversaw methodological reviews of epidemiological research, ensuring statistical rigor in protocol development and publication integrity.

Mathematical Statistician Division of Global HIV/AIDS 2008 – 2015

Led the development of advanced statistical modeling tools for HIV/AIDS epidemic projections, collaborating with international health agencies.

Provided technical expertise to field operations in epidemiological surveillance, statistical training, and research capacity-building across diverse geopolitical landscapes.

Designed and implemented statistical pipelines for large-scale health data aggregation, facilitating high-impact research and public health decision-making.

Logistics Health Incorporated Atlanta, GA

Biostatistician 2006 – 2008

Conducted epidemiological risk assessments for vaccine safety, applying inferential statistical models to large-scale immunization datasets for the National Center for Immunization and Respiratory Diseases at the Centers for Disease Control and Prevention.

Managed and analyzed extensive relational databases to evaluate health outcomes among U.S. military personnel.

Emory University Atlanta, GA

Associate Faculty 2004 – 2006

Developed and instructed graduate-level coursework in biostatistics and computational analytics, with an emphasis on SAS programming and applied methodologies.

Provided statistical consultancy for interdisciplinary research teams in public health and biomedical sciences, guiding data-driven investigations.

Merial, LLC Duluth, GA

Biostatistician 2002 – 2004

Designed and executed Phase III clinical trial analyses, employing rigorous statistical methodologies to assess pharmaceutical efficacy.

Education & Certifications

2022 Data Science Certification Program – CDC University, Atlanta, GA

M.S., Applied Statistics – Louisiana State University, Baton Rouge, LA

B.S., Biology (Minor: Chemistry) – University of Louisiana at Lafayette, Lafayette, LA

Technical Skills

Programming: SAS, R, Stata, Python, SQL

Data Visualization: Tableau, ggplot2, Power BI

Statistical Techniques: Bayesian Inference, Survival Analysis, Multivariate Modeling

Survey & Sampling Methods: Complex Designs, Randomized Controlled Trials, Bayesian Hierarchical Models

Publications & Presentations

Extensive publication record in high-impact, peer-reviewed journals, with research contributions spanning epidemiological modeling, predictive analytics, and statistical methodology.

Frequent presenter at premier scientific symposia, including CROI, ASLM, and IAS, disseminating advancements in biostatistical research and global health analytics.

(Full publication list available upon request.)

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