Nicolas (Valderrama) Valderrama Barrera
Data Analyst & Digital Transformation Consultant
Experience
Data Analyst & Digital Transformation Consultant
Management Solutions
- Built a Looker-based analytics application with Python preprocessing and AppScript write-back to support client outreach for 50 bankers (scaling to 200).
- Cut manual call-logging time from ~5 minutes to ~1 minute, improving operational efficiency and ensuring audit traceability.
- Delivered dashboards used daily by bankers and weekly by managers to prioritise clients, analyse rejection drivers, and evaluate performance.
- Worked in Agile cycles with stakeholders to iterate data requirements and prepare the platform for rollout to 200+ users.
Data Transformation Intern
Central Bank of Colombia
- Digitised manual tracking in a banknote production plant using PowerApps and PowerAutomate with SQL and Python preprocessing.
- Reduced registration time by ~30% and enabled real-time operational dashboards in Power BI across multiple sub-process lines.
- Supported staged rollout with both paper and digital traceability to preserve compliance during adoption.
- Collaborated in Agile reviews to refine user workflows and extend the solution to additional production sub-processes.
Industry Experience
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Experienced in Banking and Finance and Government and Administration.
Business Area Experience
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Experienced in Business Intelligence, Information Technology, Operations, and Production.
Summary
Data Analyst with experience in consulting and financial environments, designing data solutions used in production by business stakeholders.
I work with Python, SQL, Power BI, and AWS to build ELT processes and deliver analytics that support decision-making at scale.
Previously contributed to digital transformation projects in the Central Bank and a consulting firm.
Seeking roles where I can create value through data-driven execution and scalable analytics.
Skills
- Programming & Querying — Python, Sql, R
- Analytics & Bi — Power Bi, Tableau, Looker Studio, Data Visualization
- Data Engineering Foundations — Elt Pipelines, Data Cleaning, Data Governance
- Aws & Cloud — S3, Glue, Athena, Lambda, Kinesis, Ec2, Redshift, Iam
- Automation & Tools — Git, Docker, Powerapps, Powerautomate, Devops (Scrum)
- Machine Learning — Scikit-learn, Tensorflow, Pytorch
Languages
Education
University of Hildesheim
M.Sc. in Data Analytics · Data Analytics · Germany
Universidad Militar Nueva Granada
B.Sc. in Mechatronics Engineering · Mechatronics Engineering · Colombia · Final GPA: 4.02/5.00
Certifications & licenses
AWS Cloud Solutions Architect Professional
AWS
AWS Fundamentals Specialization
AWS
Building Deep Learning Models With TensorFlow
IBM
Deep Learning & Neural Networks With Keras
IBM
Deep Neural Networks With PyTorch
IBM
Google Data Analytics Professional Certificate
Introduction To DevOps
IBM
Machine Learning With Python
IBM
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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