Nicolas (Valderrama) B.
Technology & Digital Transformation Consultant
Experience
Oct 2024 - Apr 2025
7 monthsTechnology & Digital Transformation Consultant
Management Solutions
- Built a Looker-based web application with Python preprocessing and AppScript write-back logic, enabling 50 bankers (scaling to 200) to manage client outreach, register product offers/rejections, and track performance in real time
- Automated manual data entry during calls (from ~5 minutes to ~1 minute), increasing operational efficiency and ensuring traceability for reporting and audits
- Delivered dashboards and analytics views used daily by bankers and weekly by managers to prioritize clients, understand rejection drivers, and evaluate banker performance
- Participated in agile delivery cycles with business stakeholders, iterating on data requirements and preparing the platform for production rollout to 200+ users
Feb 2024 - Jul 2024
6 monthsColombia
Internship
Central Bank of Colombia
- Digitized manual paper-based tracking in the banknote production plant by developing a PowerApps + PowerAutomate system integrated with SQL and Python preprocessing
- Reduced data registration time by ~30% and enabled real-time supervision dashboards in Power BI, while maintaining paper backups during staged rollout
- Delivered insights dashboards used by supervisors to monitor process KPIs across sub-process lines (cutting, printing, security marks, QA)
- Collaborated in weekly Agile/SCRUM reviews to refine user workflows, address adoption issues, and extend the solution to additional sub-processes in production
Heart Attack Risk Prediction — Machine Learning
- Developed a classification model to predict heart attack risk using clinical and demographic features
- Performed data cleaning, feature engineering, model training (scikit-learn), and evaluation using ROC-AUC and cross-validation to generate interpretable insights
MNIST Digit Classifier — Deep Learning
- Built and trained neural network models using TensorFlow and PyTorch on the MNIST dataset (70k images) to perform digit classification
- Focused on data preprocessing, model training, evaluation (accuracy & confusion matrix), and interpretation of misclassifications
Summary
Mechatronics Engineer.
Experienced in data analysis and digital transformation projects within the financial sector, applying Python, SQL, Power BI, Looker, and AWS to design ELT pipelines and dashboards that deliver actionable insights.
Passionate about transforming data into strategic decisions by combining technology, analytics, and business insight.
Motivated to continue growing in international and data-driven environments, applying analytics and technology to create value, enhance efficiency, and drive innovation.
Languages
Spanish
NativeEnglish
IntermediateEducation
Apr 2025 - Present
University of Hildesheim
M.Sc. in Data Analytics · Data Analytics · Germany
Jun 2018 - Jun 2024
Universidad Militar Nueva Granada
B.Sc. in Mechatronics Engineering · Mechatronics Engineering · Colombia · 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
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