Turning business questions into reliable data, clear dashboards and reproducible analysis.
I'm an Engineering Consultant at ACF Technologies (LATAM), working on data and machine learning solutions for workforce management in banking and telecom:
- Demand forecasting - maintaining and improving predictive models that forecast contact-center demand and handle time, the input for automated staffing decisions.
- Workforce scheduling - a resource-allocation project that turns demand forecasts into agent schedules aligned with expected volume.
- Data platform - building the team's own data warehouse on a medallion architecture (bronze → silver → gold) to centralize and standardize operational data.
Before that, I spent three years in People Analytics, automating HR reporting with Python and building Power BI and Looker Studio dashboards for teams across Guatemala, Costa Rica and El Salvador.
building: ecommerce-medallion-pipeline → Gold layer (star schema) with dbt + DuckDB
learning: dimensional modeling · orchestration with Airflow
open_to: Data Analyst · Business Intelligence roles|
Global salary benchmark for data & AI roles with hypothesis testing, bootstrap confidence intervals and purchasing-power adjustment. Contract-tested ETL, business SQL and an interactive Power BI dashboard. Python · SciPy · Pandera · SQL · Power BI |
End-to-end churn prediction system: model selection, experiment tracking, drift detection, champion/challenger retraining and an explainable API + dashboard deployed on Hugging Face Spaces. LightGBM · MLflow · DVC · Evidently · FastAPI · Docker |
Incremental batch pipeline replaying ~100k real orders day by day through Bronze → Silver → Gold, with row-level lineage, idempotent reprocessing and fail-fast data quality gates. Polars · Pandera · dbt · DuckDB · Airflow |

