🎓 Engineering Background | 📍 Based in Germany 🇩🇪 | 🚀 Open to Data Science, AI, Data Analytics & Business Intelligence opportunities

I am a Data Scientist & AI Engineer with an engineering background and a passion for transforming complex data into practical, high-impact solutions.

My work combines Data Analytics, Machine Learning, Data Engineering, and Generative AI to solve real-world business and social-impact challenges. I enjoy building end-to-end projects—from collecting and preparing data to developing predictive models, interactive dashboards, and AI-powered applications that support better decision-making.

I am particularly interested in designing intelligent systems that are practical, scalable, and privacy-conscious, bridging the gap between technology, business needs, and human impact.

• Python (Pandas, NumPy)
• SQL (MySQL)
• Git & GitHub
• Jupyter Notebook

• Power BI
• Matplotlib
• Seaborn
• Streamlit

• Scikit-learn
• Supervised & Unsupervised Learning
• Feature Engineering
• Model Evaluation
• K-Means, DBSCAN & Agglomerative Clustering
• PCA & t-SNE
• Generative AI Fundamentals

• AWS Cloud Fundamentals
• ETL & Data Pipelines
• Data Modelling
• Relational Databases

Built an end-to-end Machine Learning pipeline using Spotify audio features to automatically generate intelligent playlists. Applied K-Means, PCA, t-SNE, and clustering evaluation techniques to discover hidden musical patterns.

Designed and developed a data-driven library management and analytics application using Python, SQL, and Streamlit, transforming static records into actionable insights.

Delivered business-oriented analyses to support strategic decision-making:

• A/B Testing Analysis
• Discount Strategy Analysis
• Magist Partnership Analysis

Developed an end-to-end analytics solution combining ETL processes, SQL, Python, and Power BI to monitor operational KPIs and transform raw data into interactive business dashboards.

Contributing as a Business Analyst Volunteer within an international team, analysing data, defining KPIs, and generating actionable insights for non-profit organisations.

Supporting a Data4Good initiative by developing stakeholder-oriented reporting and data-driven decision support for an international youth exchange organisation.

Currently developing a privacy-first AI assistant that combines data analytics and artificial intelligence to support smarter financial decisions. The project explores the intersection of AI, behavioural insights, and responsible data use.

• Advanced Machine Learning & Model Selection
• Generative AI & LLM Applications
• MLOps & Production-ready AI Workflows
• Building Scalable AI-Powered Applications

✔️ Building real-world Data Science & AI portfolio projects ✔️ Strengthening Python, SQL, and Machine Learning expertise ✔️ Designing end-to-end data pipelines and analytics solutions ✔️ Applying AI to solve practical business and social-impact challenges ✔️ Preparing for internship and graduate roles in Data Science & AI

💼 LinkedIn https://www.linkedin.com/in/tatiana-tchouakam-chouacheu-91152935b/

🌐 Portfolio https://talent-pool.wbscodingschool.com/en/portfolio

📧 Email tatianatchouakam@gmail.com

🎥 YouTube https://www.youtube.com/@TatianaBuildsData

I believe that the most impactful AI solutions are those that transform data into practical value. My mission is to build intelligent systems that empower people and organisations to make better decisions through data, machine learning, and responsible artificial intelligence.

Feel free to explore my repositories and follow my journey into Data Science & AI! 🚀