Ricardo Jaramillo

Brought production AI into the daily work of a 15+ person Editorial org at an editorial/SEO content company, with clear visibility for leadership. - AI agent scoring content against style guides and rubrics (-80% review time) - Internal "company brain" built on vector search, knowledge graphs and RAG - Enterprise churn model (~30% churn reduction) - Early-warning dashboards for capacity anomalies - 10+ data sources unified in GCP BigQuery

Analytics and applied AI on WhatsApp chatbots for banking, telecom and retail clients; owned 50+ dashboards and the experiments behind them. - +16% conversion through A/B testing in Python - ~80% less wasted campaign budget via anomaly detection - Prevented 80% of line-availability incidents with ML and time-series forecasting - Hybrid RAG fallback for WhatsApp (+70% response quality) - NL-to-SQL so non-technical teams query data in plain language

Founded and led GGA's BI function from zero for a customer-service operation (BPO), hiring and training the BI Analyst, Data Engineer and DBA roles. - 10+ Power BI and Python dashboards turning Workforce data into decisions - Removed 100% of recurring SQL Server routine failures - Automated 80%+ of data-warehouse reconciliation with Python and SSIS across APIs, spreadsheets, BigQuery and Salesforce

Led the Data Science team in CRM for a national retail chain: feasibility and measurement of multi-channel marketing campaigns (SMS, WhatsApp, email, coupons). - Ran a 2-person team across 3+ concurrent projects - +20% sales uplift with segmentation and predictive models (K-Means, RF, LGBM, XGBoost) and RFM/LTV propensity frameworks - Automated reporting and dashboards (-70% manual effort) - ROAS/ROI business cases to cut campaign-evaluation time

Financial analytics for loan-portfolio, credit-risk and overdue-debt tracking across 8 sites. - Power BI dashboards (with gateway deployment) and risk KPIs for lending teams - Statistical analysis and TensorFlow regression to flag risk patterns and forecast over time - MySQL administration; weekly results presented to leadership Stack: SQL, PowerQuery, DAX, Python