This year, I’m launching a personal project called Everyday Frequency.
It’s a visual and sound-based series focused on everyday moments, and my lifestyle: movement, work, food, nature, rest. Captured in a calm, cinematic, ASMR-inspired way.
No trends.
No noise.
Just textures, rhythm, and small stories that feel real.
This project is a space for consistency, experimentation, and storytelling, and also a way to share my work beyond client projects.
I’ll be posting regularly on YouTube.
If you’re curious or want to support the project, you can watch the videos here:
https://www.youtube.com/@Everyday_Frequency
Any support, feedback, or share means a lot.
Thanks.
Analista de Datos | Insights, modelos | optimización | ML
Analista de Datos | Insights, modelos | optimización | ML
Built a centralized investment analytics and business intelligence platform to automate KPI tracking, operational reporting and executive dashboards.
The solution integrated multiple data sources into a single decision support system, eliminating manual reporting while providing daily insights into investments, clients, providers and overall business performance.
The platform included automated data pipelines, KPI monitoring and executive dashboards designed to support faster and more informed business decisions.
0
55
Multi-Horizon Demand Forecasting
Designed and implemented a multi-horizon demand forecasting system for an e-commerce business to improve inventory planning and operational decision-making.
The solution generated forecasts across multiple planning horizons while automating forecasting workflows and scenario analysis.
This enabled business teams to make more informed purchasing and inventory decisions while reducing manual forecasting efforts.
0
36
Credit Risk Modeling
Developed a machine learning solution for consumer credit risk assessment, helping improve lending decisions through predictive analytics.
The project included feature engineering, model evaluation and probability calibration to deliver reliable risk predictions while supporting regulatory and business requirements.
The final solution provided a scalable analytical framework for consistent and data-driven credit decision making.
0
53
Designed an AI-powered decision support system combining quantitative models, machine learning and deep learning techniques to analyze financial markets.
The platform automated data collection, strategy evaluation and backtesting, providing a scalable framework for continuous strategy development.
The project demonstrated how advanced analytics can support systematic and data-driven investment decisions.: