Aicha Amel D.

Optimized Same-Day Delivery network across Europe, delivering 4 optimisation modules that achieved over €1.9M in ROI. Built performance monitoring and decision support tools using AWS services (Athena, S3, Lambda, Glue). Collaborated with science, ops, and product teams to turn business problems into scalable data-driven solutions.

Odoo Developer June 2022- Present Key Responsibilities: Customize Odoo modules based on client requirements, develop new modules, troubleshoot issues, and provide technical support to clients.

During my internship at Amazon I played a pivotal role in driving data insights and optimizing processes within global transportation services. My key achievements and responsibilities included: Data Analysis & Reporting: Leveraged SQL, Python, and Amazon Redshift to extract, analyze, and visualize large datasets, delivering actionable insights to stakeholders and supporting key business decisions. Automation & Process Improvement: Developed automated data pipelines , reducing manual reporting time and increasing operational efficiency. Improved a key reporting pipeline's processing speed by 100x, significantly enhancing the timeliness of business insights. Cross-functional Collaboration: Collaborated with product managers, data scientists, and engineers to design and implement scalable data models that enhanced operational workflows. Data Validation & Quality Control: Implemented rigorous data validation processes, improving data accuracy and reliability across performance metrics. Impactful Solutions: Contributed to the optimization of performance metrics, leading to faster data retrieval and reporting cycles, ultimately supporting the optimization of Amazon’s transportation services.

Odoo Developer proficient in Python, specializing in the customization and implementation of Odoo modules to optimize business processes. Skilled in data migration, integration, and ERP system enhancements. Eager to contribute expertise to innovative projects and collaborate with cross-functional teams.

• I was interning in cancer genomics and bioinformatics . • My primary focus was using advanced machine learning algorithms to analyze genomic data. • I worked on identifying novel biomarkers for cancer diagnosis, prognosis, and treatment. • I have gained hands-on experience with various bioinformatics tools, including R, Python, and Git.