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@BrentOchieng
BrentOchieng
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Brent Ochieng BrentOchieng

Data Analyst | Turning raw data into public insight | Machine Learning| Predictive Modelling Enthusiast.

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BrentOchieng /README.md

Hi there, I'm Brent Ochieng

Data Analyst | Policy-Focused | ML Enthusiast

I'm a data analyst passionate about turning complex data into actionable insights that support public policy, good governance, and sustainable development across Africa.

I specialize in analyzing open data and public sector datasets to extract meaningful insights that support decision-making in areas like health, education, agriculture, and public finance.


Tools & Technologies I Use

  • Data Analysis: Python (Pandas, NumPy), SQL, Excel
  • Visualization: Power BI, Matplotlib, Seaborn,
  • Machine Learning: ScikitLearn, NLTK,Keras, pytorch, tensorflow
  • Data Cleaning: OpenRefine, Python
  • Version Control: Git & GitHub

Current Focus

  • Building data projects using local and international open data
  • Exploring the intersection of data and public policy
  • Creating simple, reproducible analyses for civic impact
  • Writing about data, development, and decision-making


Let's Connect


"Data isn't just numbers — it's a narrative waiting to be heard."
— Brent Ochieng

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  1. Credit-Risk-Prediction Credit-Risk-Prediction Public

    End-to-end Credit Risk Prediction system using XGBoost and Streamlit. Features a real-time risk assessment dashboard to predict loan defaults and analyze key financial risk drivers.

    Jupyter Notebook

  2. mental-health-text-classifier mental-health-text-classifier Public

    End-to-end NLP framework using a fine-tuned BERT transformer model and Streamlit to classify psychological context (Anxiety, Depression, Normal, Suicidal) from text sequences. Features interactive ...

    Jupyter Notebook

AltStyle によって変換されたページ (->オリジナル) /