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Adalberto Branny Peña Alejandro

@adalbertobrannypeaal

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Data Analyst at Interbank who automated reporting and built a Python recovery forecast that helped exceed budget.

Peru

Message

At Interbank, I bring together data from Amazon Redshift and SQL Server, automate validation with Python, and build Power BI dashboards for business teams. I also built a recovery forecast in Python that helped the team exceed budget month over month.

At Banco de Crédito del Perú (BCP), I detected a S/ 5M loss event through trend analysis and helped drive a software fix. I also automated regulatory loss-event reporting, reducing the reporting cycle from 90 to 20 days.

Experience

Work history, roles, and key accomplishments

Current

Semi-Senior Data Analyst

Current

Interbank

Nov 2025 - Present (1 year)

Collected, cleaned, and organized data from Amazon Redshift and SQL Server, unifying them through an ETL process, and automated data validation with Python. Built and maintained Power BI dashboards to support business teams in monitoring key metrics.

SQL Power BI DAX Power Query Python ETL Amazon Redshift SQL Server Data Validation Dashboarding

Operational Risk Analyst II

Banco de Crédito del Perú (BCP)

Sep 2024 - Nov 2025 (1 year 2 months)

Investigated anomalies in loss-event data and detected a S/ 5M event unnoticed for years by grouping small events by channel and category, leading to a software fix. Automated the regulatory loss-event report, cutting the cycle from 90 to 20 days and reducing regulator observations by 90%.

Anomaly Detection Data Analysis KRI Monitoring Automation Documentation SQL Power BI