I build end-to-end data analytics and machine learning projects that transform raw data into actionable insights, predictive models, and business dashboards.
- Turning raw data into clear, useful, and business-focused insights
- Building complete data projects from cleaning and analysis to visualization and prediction
- Working with Python, SQL, Power BI, Power Platform, and AI tools to solve real business problems
- Developing dashboards, analytical reports, and machine learning workflows
- Interested in data storytelling, predictive analytics, automation, and business decision support
End-to-end data science and machine learning project analyzing Toronto KSI collision data to predict fatal vs non-fatal collision outcomes.
Key highlights:
- Built a complete workflow including EDA, data cleaning, feature engineering, model training, evaluation, prediction, and dashboard reporting
- Trained and compared Logistic Regression, Decision Tree, Random Forest, SVM, and Neural Network models
- Selected Random Forest as the best overall model based on Accuracy, Precision, F1-Score, and ROC-AUC
- Created a prediction workflow using the saved model and prepared test data
- Built a 4-page Power BI dashboard covering executive overview, temporal patterns, geographic risk, and environmental/road conditions
- Added professional documentation including methodology, model evaluation, data dictionary, model card, and reproducibility notes
Tools: Python · Pandas · Scikit-learn · imbalanced-learn · Power BI · Jupyter Notebook · GitHub
Interactive financial dashboard project focused on credit card performance monitoring and business reporting.
Key highlights:
- Built a Power BI dashboard to analyze credit card financial performance
- Designed KPI cards, trend visuals, and business-focused insights
- Created a dashboard suitable for financial monitoring and decision-making
Tools: Power BI · DAX · Excel · Data Visualization
SQL-based retail sales analysis project focused on revenue trends, branch performance, product analysis, and customer behavior.
Key highlights:
- Analyzed Walmart sales transactions using SQL
- Explored branch performance, product lines, payment methods, and customer segments
- Created time-based features to analyze sales by time of day, day of week, and month
- Produced business insights from transactional retail data
Tools: SQL · MySQL · Data Analysis · Retail Analytics · Business Analytics
Exploratory data analysis project using Python on customer sales transactions during the Diwali season.
Key highlights:
- Analyzed customer demographics and purchasing patterns
- Explored sales trends by gender, age group, occupation, state, and product category
- Generated insights to support marketing and customer targeting decisions
Tools: Python · Pandas · NumPy · Matplotlib · Seaborn · Jupyter Notebook
Marketing analytics dashboard analyzing top UK YouTube channels for campaign decision-making.
Key highlights:
- Analyzed top UK YouTube channels using Excel, SQL Server, and Power BI
- Built an interactive dashboard with subscriber, views, video, and engagement metrics
- Used SQL cleaning, data validation, DAX measures, and ROI-based recommendations
Tools: Excel · SQL Server · Power BI · DAX · Marketing Analytics
Python automation project focused on extracting and consolidating sales data from multiple Excel files.
Key highlights:
- Automated Excel data extraction from multiple city sales files
- Used a configuration workbook to control extraction logic
- Consolidated results into timestamped output reports
- Reduced repetitive manual Excel reporting work
Tools: Python · pandas · openpyxl · xlwings · Excel Automation
- Building end-to-end data analytics and machine learning portfolio projects
- Improving Power BI dashboard design and business storytelling
- Strengthening SQL, Python, and predictive analytics skills
- Developing projects that combine data cleaning, automation, modeling, visualization, AI tools, and documentation
- LinkedIn: mohcine-behate-3b27a857
- GitHub: Mohcine875
"Without data, you're just another person with an opinion." — W. Edwards Deming