Nazar M.

I help marketing teams use Bayesian Marketing Mix Modeling (MMM) to measure channel ROI, quantify incremental impact, and optimize budget allocation. I specialize in channel contribution and ROI analysis, budget optimization, scenario planning, and executive-ready analytics. Recent Upwork work includes: • A production-ready Streamlit dashboard with model validation and scenario planning • PyMC integration for an analytics wrapper • Marketing and media analytics in Python I can support projects involving: • Bayesian MMM design and implementation • Channel contribution and ROI analysis • Budget allocation scenarios and forecasting • Tableau, Power BI, Python, and Streamlit dashboards • SQL and Python analytics pipelines and model wrappers My background includes Analytics Director and Data Analyst work at USIM, along with a Bayesian Marketing Analytics certification from PyMC Labs. I focus on turning technical analysis into clear recommendations that marketing and business leaders can act on. If you need support with MMM, marketing measurement, or budget optimization, send me a message with your channels, KPI, markets, and available data.