Zhang

About Zhang

I’m a data science manager specializing in building end‑to‑end analytics and machine learning solutions for life sciences. My work focuses on transforming large scale healthcare data (claims, EHR, CMS, etc.) and scientific literature into models and pipelines that drive commercial strategy, disease insights, and operational decision making.Across biotech and pharma engagements, I’ve designed and deployed epidemiology models, disease progression frameworks, segmentation algorithms, and predictive models that quantify opportunity, optimize targeting, and support investment decisions. I stay hands-on with Python, SQL and cloud analytics to ensure analyses are rigorous, transparent, and grounded in real‑world evidence.I lead teams through the full lifecycle: data ingestion and cleaning, feature engineering, model development, validation, and deployment. I’ve built dashboards and analytical applications that integrate multi source datasets, automate workflows, and make complex insights accessible to commercial, medical, and strategy stakeholders.If you’re working on data‑driven challenges in biotech, healthcare analytics, or ML for real‑world evidence, I’m always open to connecting.

Experience

1. Engagement Manager, Advanced Analytics

   ClearView Healthcare Partners

   Jan 2025 — Present

   Data Analytics Project Leadership- Led cross‑functional teams to deliver data‑driven commercial opportunity assessments, improving decision‑making accuracy and enabling early‑stage biotech clients to raise investor capital- Managed full data project lifecycles, translating client needs into effective analytics solutions that aligned with business objectives and consistently exceeded client expectations- Oversaw teams of 2-3 data scientists per project, driving team execution and resource alignment to ensure timely delivery across fast‑paced, concurrent client workstreams.Advanced Analytics & Machine Learning- Led market‑mapping analyses to quantify market opportunities, integrating multiple data sources to generate high confidence analytics insights that strengthened commercial recommendations- Spearheaded data engineering for cohort management, user journey progression, and behavioral stagemapping, identifying leverage points that strengthened journey insights and improved engagement- Developed machine learning models that revealed key behavioral drivers and delivered actionable customer segments, improving targeting precision and informing high‑stakes strategic planning.Insight Generation, Communication & Visualization- Translated complex analytical findings into clear, compelling narratives tailored to technical and non-technical audiences, enabling faster alignment and more confident decision making- Created Power BI dashboards combining claims, survey, and CMS data to enable persistence, engagement, and utilization insights- Partnered with stakeholders to define critical KPIs and designed dynamic, user friendly visualizations that increased dashboard adoption across client teams.

Education

• Carnegie Mellon University

  Master's degree, Healthcare Analytics & IT

  2018 — 2020

• Spartanburg Day School

  High School

  2010 — 2013

• Franklin & Marshall College

  Bachelor’s Degree, Business Administration and Management, General; Mathematics

  2013 — 2017