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nooralindeflaten/README.md

Hi, I'm Noora Lindeflaten 👋

I'm a software and applied AI/ML developer with a B.Sc. in Computer Technology and additional specialization in Applied Machine Learning.

I’m especially interested in building practical machine learning and data systems for real-world problems — including geospatial risk analysis, telemetry data, predictive modelling, APIs, simulation, and decision-support systems.

Featured work

Geospatial ML Risk Analysis

Built a geospatial machine learning pipeline for flood and landslide-related risk analysis using public GIS data, spatial preprocessing, feature extraction, modelling, and evaluation.

Tech: Python, GeoPandas, Rasterio, scikit-learn, GIS, ML evaluation
Repo: https://github.com/nooralindeflaten/Geospatial-ML-Analysis

F1 Telemetry API & Data Backbone

Designed a structured telemetry data system using FastF1 data, PostgreSQL-ready storage, session processing, lap-level features, and API-oriented project architecture.

Tech: Python, FastAPI, PostgreSQL, FastF1, pandas, APIs
Repo: https://github.com/nooralindeflaten/f1_telemetry_api_postgresql

F1 Strategy Simulation

Developed analysis modules for tyre degradation, driver behaviour, lap-time trends, and strategy comparison across race sessions using weather and telemetry-derived features.

Tech: Python, simulation, time-series analysis, feature engineering, predictive modelling
Repo: https://github.com/nooralindeflaten/F1_ML_predictor_clean

Technical areas

  • Machine learning and model evaluation
  • Geospatial data analysis
  • Data pipelines and preprocessing
  • API development with FastAPI
  • PostgreSQL and SQL
  • Python software structure
  • Simulation and decision-support systems
  • Git, documentation, testing, and reproducibility

Currently improving

  • Production-minded ML workflows
  • Cleaner project documentation
  • Evaluation-driven AI systems
  • Backend/API deployment patterns

Links

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  1. f1_telemetry_api_postgresql f1_telemetry_api_postgresql Public

    The scripts and functions behind how i created FasrtAPI app using postgreSQL database and multi-layering docker-stack

    Python

  2. Geospatial-ML-Analysis Geospatial-ML-Analysis Public

    Machine learning models CNN, GNN, Random Forrest and Logistic regression for geospatial data from ArcGIS.

    Jupyter Notebook

  3. machine_learning_uib machine_learning_uib Public

    Some various code from different subjects I've done

    Jupyter Notebook

  4. inf112-v21/IsolasjonsTeamet inf112-v21/IsolasjonsTeamet Public archive

    Java

  5. F1_ML_PREDICTOR F1_ML_PREDICTOR Public

    Jupyter Notebook

  6. Georisk_exam_project Georisk_exam_project Public

    ML risk models using geospatial datasets. Applied machine learning final project

    Jupyter Notebook