Nam Maneerat

About Nam Maneerat

Senior Data Scientist with a Ph.D. and deep expertise in machine learning, deep learning, artificial intelligence, and large language models (LLMs). I specialize in transforming complex ideas into scalable systems by blending algorithm design, advanced statistics, and modern AI research.I lead projects across the full data lifecycle, from framing the question and conducting rigorous analysis to building predictive models, deploying automated pipelines, and measuring business impact. My work spans reinforcement learning, generative AI, personalization systems, and statistical modeling applied to engineering, product development, marketing, and sales.Recognized as both a thinker and a builder, I thrive at the intersection of research and execution, developing original solutions where no playbook exists, and collaborating with cross-functional teams to solve high-impact problems.

Experience

1. Senior Data Scientist

   Cordial

   Jul 2025 — Present · US

   As a senior member of the data science team, I design, build, and deploy AI/ML systems that power large-scale personalization, audience optimization, and predictive analytics across millions of retail contacts. I bridge statistical rigor, data science research, and applied ML/AI to deliver systems that are both innovative and production-ready.Key Contributions:* End-to-End Model Development: Built and deployed ML/AI models, such as purchase propensity, unsubscribe risk, price sensitivity, channel/category affinity, product recommendations, and lifecycle metrics, driving measurable campaign efficiency and revenue gains.* AI & LLM Systems: Designed and implemented LLM-powered applications, such as AI Message Assistant, Subject line and SMS content generators, that automate workflows and enable scalable personalization.* Reinforcement Learning: Applied contextual bandits and reinforcement learning frameworks to optimize send-time, message frequency, and audience targeting.* Statistical Rigor: Combined advanced statistical methods (survival analysis, clustering, ECDF modeling) with modern ML to generate reliable insights and guide business strategy.* Cross-Functional Impact: Partnered with engineering, product, and marketing teams to translate complex research into production-ready systems, balancing innovation with business value.I bring a scientist’s mindset with 8+ years of data-driven research, working from ideation through deployment. Known as both a thinker and builder, I create end-to-end solutions that integrate statistics, data science, machine learning, and AI into impactful, data-backed systems.

Education

• University of California, Berkeley

  Doctor of Philosophy - PhD, Geophysics and Seismology

• Pitzer College

  Bachelor's degree, Geology at Pomona College

  2013 — 2017

• Lawrence Academy

  High School Diploma

• Yupparaj Wittayalai School

  High School Diploma

  2007 — 2012