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Zainab-Alzubair/README.md

Hi there 👋 I am Zainab Alzubair

Hi, I’m Zainab 👋

I’m a Data Science, AI, and Digital Marketing student based in Berlin, with a background in software engineering, APIs, databases, CRM systems, reporting platforms, and cloud-based solutions.

I’m currently focusing on Python, SQL, Machine Learning, NLP, Forecasting, Data Analytics, and AI-enabled workflows. My goal is to combine data science with practical software engineering experience to build useful data products, dashboards, forecasting models, and AI-powered tools.

What I’m working on

  • Building portfolio projects in Data Science, Machine Learning, NLP, and Forecasting
  • Practicing Python, SQL, pandas, NumPy, scikit-learn, model evaluation, and data visualization
  • Learning more about time-series forecasting, business intelligence, and production ML workflows
  • Exploring AI tools, prompt engineering, and LLM evaluation
  • Improving my German from A2 to B1

Core skills

Data & Analytics: Python, SQL, pandas, NumPy, data cleaning, EDA, statistics, Jupyter Notebook Machine Learning: scikit-learn, regression, classification, clustering, feature engineering, model evaluation NLP & AI: tokenization, embeddings, sentiment analysis, text classification, prompt engineering, LLM evaluation basics Forecasting & BI: time-series forecasting fundamentals, dashboards, KPI reporting, Power BI basics, Looker Studio basics, Matplotlib, Plotly Software & Cloud: Git, GitHub, REST APIs, FastAPI, Flask, Docker basics, MySQL, PostgreSQL, MongoDB, AWS architecture

Featured projects

Forecasting & Model Evaluation

A Python project focused on forecasting fundamentals, feature engineering, model evaluation, error analysis, and visualization.

Tech: Python, pandas, NumPy, scikit-learn, Matplotlib / Plotly Status: In progress

Customer Churn ML Analysis

A machine learning project for predicting customer churn and translating model results into business recommendations.

Tech: Python, pandas, scikit-learn, classification, model evaluation Status: Planned / In progress

NLP Sentiment Analysis

An NLP project for analyzing text data using preprocessing, tokenization, sentiment analysis, and basic text classification.

Tech: Python, NLP, Hugging Face basics, scikit-learn Status: Planned / In progress

Background

Before moving deeper into Data Science and AI, I worked as a Software Developer, delivering 12+ web application and CRM/reporting projects. I also created a cloud architecture course for 600+ students and mentor junior developers through code reviews and technical support.

Open to opportunities

I’m looking for Working Student, Internship, or Part-time roles in:

  • Data Analytics
  • Data Science
  • Machine Learning
  • AI / NLP
  • Business Intelligence
  • Forecasting
  • Marketing Analytics
  • AI Automation

📍 Berlin, Germany | Open to hybrid and remote roles 📫 Reach me on LinkedIn

Zainab's GitHub stats Top Langs

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  1. textual-deepfake-detection-nlp textual-deepfake-detection-nlp Public

    NLP project to detect AI-generated product reviews using TF-IDF, traditional ML models, and DistilBERT.

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  2. leaf-disease-classification-deep-learning leaf-disease-classification-deep-learning Public

    Deep learning project to classify plant leaf diseases using CNNs, MobileNetV2 transfer learning, and Grad-CAM.

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  3. cardiovascular-disease-prediction-ml cardiovascular-disease-prediction-ml Public

    Machine learning project to predict cardiovascular disease using clinical and lifestyle risk factors.

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  4. video-game-sales-analysis video-game-sales-analysis Public

    Data analysis project exploring global video game sales by platform, genre, publisher, region, and year.

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