About Me

I am a statistician with a robust background in both observational and experimental studies, passionate about uncovering insights at the intersection of marketing analysis and Bayesian statistics. My journey began in BTL marketing, where I quickly realized the value of rigorous data and causal inference for real-world impact.

Core Skills

  • Marketing Analytics & Data Science
  • Bayesian Modeling & Inference
  • Experimental & Observational Study Design
  • Statistical Programming (Python, R)
  • Data Visualization & Storytelling

Interests

  • Causal Inference in Business
  • Survey & Experimental Methods
  • Machine Learning for Marketing
  • Open Science & Reproducibility
  • Science Communication

My Journey

  • BTL Marketing Founder — Realized the gap between field reality and reports, sparking my interest in statistics and data-driven decision making.
  • Statistician — Developed expertise in statistics and analytics for real-world applications.
  • Clinical Research — Gained hands-on experience in experimental design and advanced analytics.
  • Bayesian Advocate — Focused on practical applications of probability theory and causal inference in marketing and business.

How I Can Help

  • Marketing Analysis: Turn raw data into actionable insights for campaigns, customer segmentation, and ROI measurement.
  • Bayesian Statistics: Build robust models for uncertainty, prediction, and causal inference in business and research.
  • End-to-End Data Projects: From study design to analysis, visualization, and communication of results.
  • Business Case Simulations: Simulate and analyze real-world business scenarios to support strategic decision making.
Let's connect and explore how data and statistics can drive better decisions in your organization!