Omid Mosayebiroknkolaie

Built and deployed a multi-agent AI assistant using Claude SDK and MCP, integrating 10+ enterprise data sources and reducing SQL turnaround from hours to minutes. Led Supply & Demand analysis, A/B testing, KPI definition, and funnel analytics to optimize product features and customer journeys. Delivered actionable insights through Python, SQL, DBT, Tableau, Redshift, and Google Analytics.

Led experimentation strategy across customer touchpoints, advising PMs on KPI design, sample sizes, and results interpretation. Identified funnel friction points that drove a 10% uplift in engagement with key filters. Optimized feature rollouts through deep funnel analytics, delivered executive dashboards for weekly leadership decisions, and aligned Product, Marketing, and BI teams on data strategy.

• Performing A/B testing result analysis, sample size estimation, significance analysis • Ad-hoc reporting in accordance with Product owners(stakeholders) needs • Creating tracking concepts for experiments and live environment • Metrics definition and dashboard creation • Working on a Comment analysis project (NLP) Skills: Natural Language Processing (NLP) · PostgreSQL · Tableau · A/B Testing · Data Analytics · Python · SQL

• Completed the Golden Number project, defining dedicated MSISDNs and proposing pricing based on defined patterns and market norms, resulting in a 140% increase in Golden Number sales revenue • Performed customer segmentation, targeting, and churn prediction according to CVM needs • Created automated reports and dashboards on rates for all products and services • Developed mismatch detection application with over 10 billion records per day • Trained over 50 colleagues in data analysis

• Optimized queries, reporting, installation and maintenance of MSSQL databases • Migrated 600+ databases across 40 servers from version 2012 to 2017 • Developed reports and dashboards to monitor the status of the database engine • Managed and monitored 600+ MSSQL servers

• Supervised 18 subordinates • Periodic reporting and analysis of ticket status • Defined KPI and SLA measurements, PPP documentation

Software Engineering