# Marvis User

Marvis User is a remote worker on Himalayas, ML Engineer Intern at NITHUB – University of Lagos, based in Nigeria.

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

```text
I build predictive ML models and AI applications for practical business use cases.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Nigeria |
| Authorized to work in | Nigeria |
| Salary expectations | 30k+ USD |
| Job categories | Machine Learning Engineer, Data Analyst |
| Skills | Python, SQL, Machine Learning, Data Analysis, data preprocessing, Feature Engineering, Model Evaluation, predictive modeling, TensorFlow, PyTorch, scikit learn, XGBoost, Random Forest, K Means, Pandas, NumPy, Excel, Power BI, Lang Chain, fastAPI, RAG, Vector Databases, Embeddings, Large Language Models, Google Colab, Streamlit, GROQ, PDF Extraction, Semantic Similarity Scoring, Problem Solving, Communication Skills |
| Portfolio | https://github.com/Marvis-del |
| LinkedIn | https://linkedin.com/in/marviseke |
| GitHub | https://github.com/Marvis-del |

## What I'm looking for

```text
I'm looking to build reliable, production-ready AI solutions, contribute to real-world machine learning projects, and keep growing in low-resource ML applications and inclusive data practices.
```

## About

```text
I'm building predictive models and API-driven AI solutions as an ML Engineer Intern at NITHUB, University of Lagos. My work spans data preprocessing, feature engineering, model development, RAG pipelines, FastAPI serving, and production-focused ML integration.

I’ve built projects including a banking marketing analysis using XGBoost, Random Forest, and K-Means, and JobAI, an AI-powered resume and cover-letter optimizer built with Streamlit and Groq. I use Python, SQL, Excel, Power BI, Pandas, NumPy, TensorFlow, and PyTorch to turn raw data into practical insights and accessible AI tools.
```

## Experience

### ML Engineer Intern (current)

NITHUB – University of Lagos. Feb 2026 - Present

```text
Contributes to real-world machine learning initiatives, owning tasks across model development, data preprocessing, feature engineering, and prototype integration. Builds predictive models using Python and implements API-driven ML solutions with FastAPI.
```

Skills: Python, scikit-learn, XGBoost, TensorFlow, PyTorch, fastAPI, RAG, Vector-Databases, LLM-Inference, Google-Colab, API-Development

### Machine Learning Training Participant

NITHUB – University of Lagos. Jun 2025 - Dec 2025

```text
Completed intensive ML training covering mathematics for ML, model understanding, data analysis, fine-tuning, and deployment best practices. Built end-to-end projects in Google Colab with Python libraries.
```

Skills: Python, Pandas, NumPy, scikit-learn, XGBoost, Deep-Learning, Google-Colab, data-preprocessing, Feature-Engineering, Model-Evaluation

### Data Analyst Intern

GIIT Ikeja. Jan 2023 - May 2023

```text
Performed data analysis tasks using Excel and introductory Python, focusing on cleaning, organizing, and visualizing datasets for training and reporting. Created structured summaries and basic reports to support decision-making.
```

Skills: Excel, Python, Data-Cleaning, Data-Visualization, Reporting, Exploratory-Analysis

## Education

### University of Nigeria, Nsukka

Bachelor of Science, Computer Science. 2020 - 2025

Activities and societies: Relevant courses include Data Structures and Algorithms, Object-Oriented Programming, Database Systems, Artificial Intelligence, Probability and Statistics, Linear Algebra, Software Engineering, and Computer Networks.

```text
Bachelor of Science in Computer Science from the University of Nigeria, Nsukka, from 2020 to 2025.
```

## Tech stack

- NumPy
- Pandas
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Streamlit
- FastAPI
- SQL
- Google Colab
- XGBoost
- LangChain
- Groq
- Power BI

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

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