Computer Science Engineer specializing in Business Intelligence and Quality Assurance. I design end-to-end data pipelines, create actionable dashboards, and implement robust testing frameworks that ensure software quality and drive data-informed decisions.
π Portfolio: zeineb-eya-rahmani.vercel.app
π Location: Tunis, Tunisia
π Data & Business Intelligence
πΌ Business Analysis
Core Competencies: Requirements Gathering β’ User Stories β’ Process Modeling β’ Stakeholder Management
End-to-end ML pipeline for predicting bioactivity of chemical compounds using ChEMBL data and advanced regression techniques.
Tech Stack: Python β’ Jupyter β’ scikit-learn β’ ChEMBL API
Highlights: Data retrieval & preprocessing β’ Molecular descriptor calculation β’ Multi-model comparison β’ Regression analysis
Interactive web application for predicting compound bioactivity against Alzheimer's disease drug targets.
Tech Stack: Streamlit β’ scikit-learn β’ PaDEL-Descriptor β’ Pandas
Highlights: SMILES notation processing β’ Real-time predictions β’ Exportable results β’ User-friendly interface
Production-grade data engineering solution with automated orchestration, quality checks, and business intelligence reporting.
Tech Stack: Apache Airflow β’ Docker β’ GCS β’ BigQuery β’ dbt β’ Soda
Highlights: Automated ETL workflows β’ Data quality monitoring β’ Dimensional modeling β’ Business KPIs
Advanced Excel dashboard delivering actionable insights through interactive visualizations and trend analysis.
Tech Stack: Excel β’ Pivot Tables β’ Advanced Formulas β’ DAX-like calculations
Highlights: Multi-dimensional analysis β’ Temporal patterns β’ Location insights β’ Dynamic filtering
Enterprise-grade CI/CD pipeline with comprehensive automation, testing, and monitoring capabilities.
Tech Stack: Jenkins β’ Docker β’ SonarQube β’ Nexus β’ Prometheus β’ Grafana
Highlights: Automated builds & tests β’ Code quality gates β’ Containerization β’ Real-time monitoring
Interactive BI solution analyzing global sustainable development trends and COVID-19 impacts with predictive modeling.
Tech Stack: Power BI β’ Talend β’ SQL β’ Data Mining Algorithms
Highlights: Multi-source integration β’ Predictive analytics β’ Interactive storytelling β’ Cross-dimensional analysis
Custom Microsoft Dynamics 365 implementation with intelligent workflows and automated business processes.
Tech Stack: Dynamics 365 β’ JavaScript β’ Power Automate β’ Business Process Flows
Highlights: Custom entity architecture β’ Dynamic forms β’ Process automation β’ Integration capabilities
- π€ MLOps - Model deployment, monitoring, and lifecycle management
- βοΈ Cloud-Native Architecture - Microservices and serverless patterns
- π‘ Real-Time Streaming - Apache Kafka and event-driven systems
- π Advanced Analytics - Predictive modeling and prescriptive analytics
π‘ Open to collaborations and opportunities in Data Engineering, Business Intelligence, and Quality Assurance