Aspiring Software & Data Developer with a background as an Ingénieur Statisticien Économiste (ISE).
I love turning economic and financial data into real-world tools: APIs, dashboards, and web apps that help people make better decisions.
- 🔭 Currently working on: web apps and dashboards for SMEs and digital finance
- 🌱 Learning: modern JavaScript, back-end APIs, and front-end frameworks
- 🎯 Interests: time series, financial modelling, national statistics, and product development
- 🤝 Open to: collaborations in data, fintech, and web development
Languages
- R · Python · JavaScript · SQL · HTML · CSS
Data & Analytics
- R (tidyverse, Shiny, time series)
- Python (pandas, NumPy, basic ML)
- Stata · SPSS · EViews
Databases & BI
- SQL (PostgreSQL / MySQL basics)
- Power BI · Excel (Power Query, advanced formulas)
Web & Back-End (in progress)
- REST APIs (Python/JavaScript fundamentals)
- Front-end basics: HTML5, CSS3, React JS
Tools & Workflow
- Git & GitHub · VS Code · RStudio
- Jupyter · Shiny Server (basic)
Here are a few projects that reflect what I like to build:
Algorithm in R to estimate how long a financial shock takes to return to equilibrium, developed for a PhD thesis in finance.
- 🧮 Time series & econometrics
- 📈 Focus on financial stability and risk
- 🔗 Repo: [Stock Shock Duration Model](to be added he) (link comming)
Interactive dashboard for visualizing and deseasonalizing economic indicators (e.g., IMAE, quarterly national accounts).
- 📊 R Shiny, time series, seastests/seasonal
- 🔍 Focus on national statistics and policy insights
- 🔗 Repo: [Economic TS Dashboard](Link here very soon)
Prototype of a web app to help SMEs track expenses, budgets, and basic financial indicators.
- 💻 HTML/CSS/JavaScript
- 📊 Simple dashboards and summaries
- 🔗 Repo: SME Budgeting App
- 🌐 Portfolio / Website: coming soon
- ✉️ Email: kadanganorris@gmail.com
I’m always happy to connect with people who care about data, economics, and software.
📌 Check out my pinned repositories below to see what I’m building.
💬 Feel free to open an issue or reach out if you’d like to discuss data, finance, or dev ideas.