# Edwin Maroa

Edwin Maroa is a remote worker on Himalayas, Research and Data Analytics Intern at Kenya Revenue Authority, based in Kenya.

Source: https://himalayas.app/@edwinmaroa

```text
I build predictive models, analytical pipelines, and decision-ready dashboards using Python and machine learning.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Kenya |
| Authorized to work in | Kenya |
| Salary expectations | 40k+ USD |
| Job categories | Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst |
| Skills | Python, SQL, fastAPI, PostgreSQL, Pandas, NumPy, Matplotlib, SeaBorn, Metabase, Apache Superset, Power BI, Classification, regression, Clustering, Neural Networks, Time series Forecasting, Feature Engineering, Hyperparameter Tuning, MLFlow, RAG, scikit learn, TensorFlow, XGBoost, Keras, Jupyter Notebooks, Git, Docker, Linux, Streamlit, Lang Chain, Faiss, Gemini, Hypothesis Testing, Uplift Modeling, Data Analysis, Data Visualization |

## What I'm looking for

```text
I'm looking to build predictive models and analytical pipelines, translate findings into dashboards for stakeholders, and contribute to end-to-end machine learning workflows.
```

## About

```text
I build predictive models and analytical pipelines that turn raw data into usable insights and decision-ready dashboards.

At Kenya Revenue Authority, I analyzed structured and text-based data, developed dashboards and reports for non-technical stakeholders, and built machine learning models to predict key patterns.

I've also built healthcare and marketing ML applications, including a RAG-powered medicine recommendation system and an uplift-modeling dashboard that identified a segment with 1.67 conversion lift.
```

## Experience

### Research and Data Analytics Intern

Kenya Revenue Authority. Jan 2026 - Apr 2026

```text
Conducted data entry and analysis, both structured and text-based, to support internal research and operational reporting. Developed dashboards and analytical reports for non-technical stakeholders and built machine learning models to predict key patterns in data.
```

Skills: Data-Analysis, Data-Entry, Dashboard-Development, Machine-Learning, Python, SQL, Pandas, NumPy, Matplotlib, SeaBorn, Metabase, Apache-Superset, Power-BI

## Education

### St Paul’s University

Bachelor of Science, Computer Science. 2022 - 2026. Grade: Second Class Honours (Upper Division)

Activities and societies: Object Oriented Programming Web Development Bash Scripting Machine Learning

```text
Pursuing a Bachelor of Science in Computer Science with Second Class Honours (Upper Division), expected to graduate in November 2026.
```

## Tech stack

- Metabase
- NumPy
- Pandas
- PostgreSQL
- Python
- TensorFlow
- MLflow
- scikit-learn
- Keras
- Streamlit
- FastAPI
- Linux
- Gemini
- Git
- Docker
- SQL
- XGBoost
- LangChain
- Faiss
- Seaborn
- Matplotlib
- Power BI

To contact Edwin, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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