I’m Christy Johns, a former Data Analyst with 2+ years of experience in Data Analysis, Machine Learning & Reporting, currently pursuing Data Science and passionate about transforming data into meaningful insights. I’m passionate about leveraging technology and data to solve real-world problems and create value.

• 🎓 Data Science Master's student at TU Dortmund
• 📊 Interested in Data Science, Machine Learning & BI
• 🌍 Based in Germany
• 💡 Passionate about turning raw data into meaningful insights

I enjoy building ML models, dashboards, and automation workflows that solve real business problems. My background spans industrial analytics, financial data processing, and mentoring 450+ learners in Excel, Python, and SQL.

• Python • R • SQL • Power BI DAX
• Jupyter Notebook • VS Code • LaTeX

• Supervised Learning • Feature Engineering
• Anomaly Detection • A/B Testing • RFM Analysis
• Statistical Modeling • Model Evaluation
• Bayesian data Analysis

• Power BI • Advanced Excel • SPSS
• Data Visualization • Dashboard Development
• Pandas • Numpy • Matplotib • Seaborn • Scikit-learn

• ChatGPT • Copilot • Claude • Gemini

Tech: R, brms, Bayesian Modeling

• Built Bayesian Logistic Regression & Multilevel Intercept Model on BRFSS data
• Achieved 75.3% accuracy
• Identified Age, BMI, General Health & Cholesterol as key predictors
  🔗 Repo: https://github.com/christy123johns/Bayesian-insights-into-diabetes

Tech: Python, BayesFlow, Simulation-Based Inference

• Estimated posterior distributions of cosmological parameters
• Used noisy observations of the matter power spectrum P(k)
  🔗 Repo: https://github.com/christy123johns/Estimating-Cosmological-Parameters-from-Galaxy-Power-Spectrum

Tech: Python, Pandas, Scikit-learn

• Built a churn prediction pipeline with feature engineering & Random Forest
• Includes data cleaning, EDA, model evaluation & visualization
  🔗 Repo: https://github.com/christy123johns/Customer_Churn_Analysis_

• Werkstudentin Data Science @ QASS GmbH
  Analyzed industrial datasets 100k+ records using Python & SQL. Applied anomaly detection and gradient-based methods to identify irregular patterns and enhance data quality. Contributed to data preparation and visualization workflows used in internal reporting.

• Data Analyst & Mentor @ KVJ Analytics
  Developed and maintained over 15 interactive dashboards in Excel and Power BI to track KPIs and performance metrics., automated Excel workflows (20% time saved), trained 450+ learners. Data cleaning, transformation, and visualization using Excel and Power Query.

• Financial Assistant @ Finanzmitkumar
  Managed financial documentation and supported data organization for loan and contract processing.

• LinkedIn: https://www.linkedin.com/in/christy-johns/
• GitHub: https://github.com/christy123johns