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studentjannebragge/README.md

  • 👋 Hi, I’m @studentjannebragg

  • 👀 I’m interested in uncovering hidden stories within datasets, transforming raw numbers into actionable business insights, and building compelling data visualizations. I love tackling complex business problems with data-driven solutions!

  • 🌱 I’m currently learning diving deeper into Python libraries (Pandas, NumPy, Scikit-learn) for analysis and predictive modeling, mastering advanced SQL techniques, and creating impactful dashboards with tools like Power BI and Tableau. Always eager to explore new ways data can drive decisions!

  • 💞️ I’m looking to collaborate on data analysis projects, building insightful BI dashboards, or tackling data visualization challenges. Open to contributing to open-source projects or any initiative focused on deriving value from data. If you have an interesting dataset or business problem, let's connect!

  • 📫 How to reach me You can reach me via email at jannebragge@outlook.com or connect with me on LinkedIn: https://www.linkedin.com/in/jannebragge/. Feel free to check out my portfolio projects right here on GitHub!

-⚡ Fun fact: When I'm not wrangling data, I might be found trying to optimize my coffee brewing process using surprisingly detailed notes.

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  1. R_Manual_and_Projects R_Manual_and_Projects Public

    This repository contains an R language manual, an ETL project, and 5 machine learning models.

    R

  2. DataStructures-and-algorithms DataStructures-and-algorithms Public

    Essential Algorithms : A Practical Approach to Computer Algorithms

    Jupyter Notebook

  3. ML_algorithms ML_algorithms Public

    Naive Bayes / Decision Tree / KNN KMeans / Linear Regression / Logistic Regression

    Jupyter Notebook

  4. PathFinding PathFinding Public

    This repository contains implementations of search algorithms used for pathfinding, such as Dijkstra, Greedy Search, and A*. The goal is to find the shortest or most cost-effective path in a grid e…

    Jupyter Notebook

  5. BusinessAnalytics_Resprictive BusinessAnalytics_Resprictive Public

    Business analytics with: optimization models / linear programming / non-linear programming / integer programming / goal programming / transportation modeling simulation / Marketing analytics with: …

    R 1

  6. Signal-Processing Signal-Processing Public

    Opintojakson suoritettuaan opiskelija tuntee digitaalisten signaalien yleiset ominaisuudet ja digitaalisen signaalinkäsittelyn perusmenetelmät, sekä hallitsee diskreettiaikaisten systeemien perust…

    Python