
Daniel C
Data Engineer
Habilidades

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Experiência profissional
PYTHON DATA ANALYST
digicube • Período integral
Dec 2025 - Present • 6 mos
**The company is not digicube** Data Preparation & Code Optimization: Utilizing Python (Pandas, NumPy) to clean, restructure, and validate massive telecom datasets (sales, portabilities, churn), ensuring high data quality and writing computationally efficient code to handle large volumes of information. Commercial & Statistical Analysis: Applying mathematical and statistical modeling to evaluate the performance of different business channels (physical stores, web, telesales) and identifying consumer trends to drive data-backed commercial decisions. BI Reporting & Data Storytelling: Developing interactive dashboards using Qlik Sense to track business KPIs, while translating complex technical insights into clear, actionable recommendations for marketing and sales teams.
PYTHON DATA ANALYST
Santander • Período integral
Dec 2025 - Dec 2025 • 0 mos
Consolidated and checked the quality of service reports with different risks from external suppliers for all the geographies of the bank following internal and external regulations. Achieved a high improvement in the quality of consolidated group data. Managed and tracked risk metrics using Power BI, delivering comprehensive data visualizations and insights Developed Python scripts to automate manual processes performed by team members on a weekly basis, replacing an outdated rule control tool, streamlining operations and reducing manual effort.
Data Quality Intern
NTT DATA
Oct 2022 - Jun 2023 • 8 mos
Assisted project managers with system testing of new projects to detect bugs and discrepancies. Presented and submitted reports with data, producing summaries and flow charts to enhance presentations and ensure data integrity across various projects.