Hi, I'm Andy Martens - Data Scientist at Google
I am driven by the power of data to solve systemic challenges. I thrive in environments where complex research meets real-world application, helping teams find clarity in ambiguity and build scalable solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Leveraged analytical expertise to improve public health initiatives at the NYC Department of Health.
Currently accelerates data strategy and quantitative model development as a researcher at Google.
Can provide mentorship on scaling research operations and translating complex data into business value.
🚀 Career trajectory
Academic Foundation
Established deep expertise in research methodology and rigorous analytical inquiry during doctoral studies.
✦ PhD Holder
✦ Researcher
Public Sector Impact
Applied academic rigor to improve municipal health outcomes and urban data intelligence systems.
✦ Public Health
✦ Data Scientist
Enterprise Scale
Transitioned to global-scale data science, focusing on quantitative research and model development.
✦ Big Tech
✦ Senior Quant
💪🏻 Superpowers
Quantitative Storytelling
Translating complex datasets into clear, strategic narratives for stakeholders.
✦ Synthesize high-dimensional data into intuitive visualizations for decision makers.
✦ Articulate the business impact of abstract statistical findings.
Public Sector Innovation
Applying rigorous research methodologies to solve large-scale societal problems.
✦ Led data-driven health initiatives for municipal government agencies.
✦ Optimized resource allocation through predictive modeling in the public domain.
Scalable Model Architecture
Building reliable data systems that perform under enterprise-level pressure.
✦ Design production-grade pipelines to automate quantitative research workflows.
✦ Implement scalable statistical frameworks within massive technical ecosystems.
I'm excited about
✦ Exploring interdisciplinary collaborations between data science and public policy experts.
✦ Finding new opportunities to contribute to mission-driven organizations using quantitative methods.
✦ Building professional relationships with leaders focused on ethical data usage and research.
I can help with
✦ Mentoring early-career data scientists on moving from academia to industry.
✦ Advising organizations on establishing scalable research-based data departments.
✦ Reviewing statistical frameworks to ensure research integrity and high-quality outcomes.
I would love your help on
✦ Gaining deeper insight into non-tech industry applications of advanced quantitative research.
✦ Learning from professionals who have successfully scaled research teams in startups.
✦ Connecting with peers navigating the intersection of public policy and modern tech.