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tkay305/README.md

Hi, I'm Tasha 👋

Economist · Data Scientist · Sustainability student 📍 Ingolstadt, Germany | 🎓 MSc Sustainability Management and Technologies Candidate | BSc Economics and Econometrics

What I work on: I build econometric models and data pipelines at the intersection of sustainability, policy research, and predictive analytics. My work spans causal inference (IV regression), ML classification, simulation modelling, and ESG data analysis.

Featured Projects | Project | Domain | Methods | |---|---|---| |

🎓 IV & Institutional Growth | Research | 2SLS, IV Regression | | Nestle ESG Reporting Analysis| ESG | Research | Policy | Coffee Production Equity| ESG | Research | Policy | 🌾 Predictive Agriculture | DS | Random Forest, XGBoost | | [🛒 Retail Strategy Analytics](https://github.com/tkay305/Retail-Projects | DS | Clustering, Forecasting)| |

Full portfolio: tkay305.github.io

Tech Stack Python Pandas R Power BI Scikit-learn NumPy ---

📫 https://www.linkedin.com/in/natasha-kabuka/ · natashakabuka@gmail.com

Pinned Loading

  1. Classification Classification Public

    This project uses a machine learning Support Vector Machine (SVM) to predict whether a client will default on their loan or not

    Jupyter Notebook

  2. Hypothesis-Testing Hypothesis-Testing Public

    Jupyter Notebook

  3. IV-Regression-Institutions-Growth IV-Regression-Institutions-Growth Public

    Instrumental Variables Approach to Cross-Country Income Differences

    Jupyter Notebook

  4. Predictive-Modeling Predictive-Modeling Public

    All Projects Related to Predictive Modeling will be showcased here

    Jupyter Notebook

  5. Retail-Projects Retail-Projects Public

    Analytics projects related to retail strategy

    Jupyter Notebook

  6. tkay305 tkay305 Public

    Profile