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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

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samietex/README.md

Hi, I’m Samuel Shaibu 👋

Data Scientist (ML + Analytics/BI) • Python | SQL | Power BI | MLflow | Streamlit | LangChain | OpenAI API
Based in Vilnius, Lithuania — I build data products and AI-powered workflows that turn research + operational data into clear decisions.

LinkedIn GitHub Portfolio Medium Substack Power BI

Snapshot

  • 🧠 4+ years across data science, analytics, and BI
  • 🏢 Data Scientist @ Syno International (07/2025–present) — shipping AI-powered internal tools and automated workflows with Python, Streamlit, LangChain, and OpenAI API
  • 📈 Building Power BI dashboards + custom visuals (JavaScript/TypeScript) for multi-market decision-making
  • ✍️ Technical Writer @ DataCamp — published tutorials on Python/SQL/data science
  • 👨‍🏫 Former Data Science Instructor — mentored 40+ learners

What I’m known for

I like end-to-end work: turning business questions into data requirements, building clean pipelines, training models, and communicating results through dashboards, artifacts, and decision-ready summaries.

I also care about Responsible AI: measuring fairness, mitigating bias, documenting risks, and keeping an audit trail (metrics + artifacts + reproducibility).

Tech stack

Languages: Python, SQL (MySQL, MS-SQL)
Data: Pandas, NumPy, SciPy • ETL (Python/SQL)
ML: scikit-learn • evaluation • feature importance
Responsible AI: fairness metrics (SPD/DI/EOD/AOD), bias mitigation (reweighing), model cards, risk assessment
Experiment tracking: MLflow
Apps & BI: Streamlit, Power BI • Plotly/Matplotlib
AI Tooling: LangChain, OpenAI API
Dev: Git, GitHub Actions (CI)

Featured project: Responsible ML / AI Ethics

AI Ethics — Personalized Budget Threshold Predictor (Responsible ML + MLflow + Streamlit)

🔗 https://github.com/samietex/AI_Ethics_Personalized_Budget_Prediction_Model

A governance-friendly ML project that predicts whether a user’s budget is above a configurable threshold and demonstrates a Responsible ML workflow end-to-end.

Other work

Certifications

Publication

Let’s connect

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  2. AI_Ethics_Personalized_Budget_Prediction_Model AI_Ethics_Personalized_Budget_Prediction_Model Public

    Jupyter Notebook 1