Andrei_DataBI

• Data Analysis: In-depth analysis to identify KPIs, trends, and anomalies in P2P fintech transactions.

• Python (Pandas, NumPy, Jupyter) and Neural Networks: Processing large datasets, predictive analytics, and pattern detection.

• Reporting & Dashboards: Building and maintaining data marts, interactive reports, and dashboards in Metabase to monitor operations and support decision-making.

• Metabase Administration: Installing, updating, configuring user access, optimizing performance, ensuring data security, and integrating various data sources. Troubleshooting technical issues for stable BI operations.

• SQL/NoSQL Queries: Crafting complex queries for data extraction, aggregation, and key metric calculations.

• ETL Scripts: Designing and optimizing ETL processes to ensure data quality and integrity. Using neural networks to automate and enhance Python ETL scripts.

• Business Collaboration: Working closely with business teams to meet their data needs and provide relevant analytics.

• Automation: Implementing automated processes for regular data and report updates, reducing manual effort and errors.