Nova Habitat
A premium property website with catalogue, filters, favourites, property pages, valuation flow and contact journey.
The portfolio combines navigable industry website demos with analytical projects. Each project is presented transparently: the demos are conceptual and no client results are fabricated.
These concept projects show how I adapt art direction, user experience and functionality to a client’s sector. Click any preview to open the full demo.
A premium property website with catalogue, filters, favourites, property pages, valuation flow and contact journey.
A human editorial experience for mission, programmes, projects, impact, transparency and engagement.
A premium consulting website with expertise, methodology, sectors, concept cases, insights and a qualified executive brief.
A bright school website covering lower and upper secondary levels, admissions, guidance, school life, news and gallery.
Design a digital presence that can speak both to recruiters and future clients.
Bilingual architecture, responsive design, clear navigation, Services/Projects/Skills pages and a contact journey.
HTML, CSS, JavaScript, responsive UX, Netlify Forms for the live contact form.
Frontend execution, content structure, visual identity and conversion-minded thinking.
How can sequential dependencies in financial time series be represented in a forecasting workflow?
Prepare time-series inputs, build sequences, train an LSTM model and compare predictions with held-out observations.
Python, TensorFlow, LSTM, time-series preprocessing.
Deep-learning experimentation, sequential modeling and disciplined evaluation.
How can interdependent macroeconomic variables be studied jointly through time?
Structure the series for VAR analysis and interpret relationships in a multivariate framework.
Econometrics, VAR, macroeconomic time series, statistical analysis.
Economic reasoning, model specification and interpretation of multivariate dynamics.
How can extraction, transformation and querying be structured as volume and complexity increase?
Organize a processing pipeline and use SQL/PySpark for transformations and analytical work.
SQL, PySpark, Spark, data transformation, analytical querying.
Data-engineering fundamentals, scalable thinking and reproducible workflows.
My GitHub profile already provides access to my work. Repository, notebook, report and screenshot links will be connected progressively to each case study here.
View my GitHub ↗I can walk you through the approach or discuss a version adapted to your organization.