ND Project
Experimental image segmentation project exploring different processing and learning approaches applied to visual data.
Data & Analytics · Analysis · Visualization · Data Structuring
Open to opportunities and collaborations around data projects
Passionate about data and its applications, I am interested in how analysis, visualization and data tools can support decision-making and address real-world challenges across diverse contexts.
Through personal, academic and experimental projects, I explore multiple dimensions of data, from exploratory analysis and interactive visualization to more complex data processing.
Curious and adaptable, I take an open and pragmatic approach, allowing me to evolve across domains and use cases depending on needs and opportunities.
Experimental image segmentation project exploring different processing and learning approaches applied to visual data.
Exploratory computer vision project focused on image processing and analysis through multiple methods and experiments.
Interactive web dashboard to visualize weather and environmental data from open sources, with a focus on clarity and usability.
Analytical dashboard designed to explore and summarize hospital activity indicators, supporting data understanding and decision-making.
SQL Server data warehouse built with a Bronze → Silver → Gold layering approach (CSV ingestion from CRM/ERP, cleaning/standardization, and a Star Schema for analytics).
Pure-SQL analytics layer built on top of the Data Warehouse: Gold star schema, KPI computations, revenue segmentation, and customer/product performance reporting.
The skills below reflect areas explored through practical, academic and experimental projects, with a constant focus on clarity, usefulness and readable results.
Exploration, cleaning, KPIs, segmentation, ad-hoc analyses and recommendations.
Supervised models, evaluation, interpretability, tuning and fast iterations.
Image processing, segmentation, robust pipelines, experimentation and comparisons.
Clear dashboards, storytelling, professional formatting and decision-friendly reading.
Structuring, checks, consistency, light automation and clean exports.
Summaries, slides, technical notes and project docs for maintenance and handover.
Open to short-term collaborations focused on data analysis, visualization and data reliability, with a pragmatic and structured approach.
Rapid understanding of existing datasets and identification of inconsistencies or improvement areas.
Clear dashboards (Excel / Power BI) designed for readability and decision support.
Simplification of repetitive tasks and data process improvements when relevant.
Interested in discussions around data projects, analysis and practical data applications, I am open to conversations and collaborations.