Roman Merzifonyan

I create data models and dashboards to solve real business problems, especially in pricing and inventory forecasting. My main tools are SQL, Python, Power BI, and Excel. I am looking for a fully remote Data / BI role in CET/UK time zones, focusing on practical data work and clear results. At an industrial automation distributor, I migrated a manual inventory forecasting model to SQL and Power BI, introducing SKU mapping and dynamic IQR adjustments to improve data quality. I also developed Power BI dashboards with Row-Level Security, integrating Oracle SQL to track commercial KPIs and sales performance. I engineered Python scripts to extract supplier discount data from SAP systems into dynamic pricing models, safeguarding gross margins, and automated SO-PO workflows from purchasing documents. Beyond my corporate experience, I am pursuing an M.S. in Statistics with research focused on B2B demand and sales forecasting using Machine Learning and Bayesian modeling. In my NYC Airbnb project, I modeled 48K+ listings using Hierarchical Bayesian Regression (MCMC with PyMC) to capture neighborhood-level variance and address heavy-tailed distributions. Currently seeking a fully remote Data / BI / Quantitative Analytics role (CET/UK time zones) where I can leverage statistical modeling, predictive forecasting, and modern data stacks to drive commercial impact.