Andrea C.

PVH Europe is a multinational apparel company behind iconic brands like Tommy Hilfiger and Calvin Klein. Andrea was an early Data Science & Analytics team member, supporting logistics and supply chain operations with AI and optimization solutions.

• Designed and implemented a linear programming model to improve stock-to-order fulfillment, yielding estimated annual savings of €3M.
• Led a major initiative on warehouse slotting optimization using a genetic algorithms-based approach.
• Built robust data pipelines with PySpark and Airflow to automate and streamline reporting for various business stakeholders.
• Trained forecasting models to predict retail store foot traffic using LSTM-based recurrent neural networks.
• Trained a Random Forest model to forecast inbound logistics volume and implemented automated retraining workflows.
• Maintained CI/CD infrastructure and Docker environments for the data science team, ensuring reliable cloud job execution on AWS.
• Acted as a lead code reviewer, overseeing coding quality and maintaining the team’s internal Python package (dscin_ppy).

Listopro is a rapidly growing remote staffing platform that connects LATAM tech talent with U.S. and global employers. Andrea served as their first and only Data Scientist.

• Improved the platform’s internal CRM search engine by implementing an XGBoost model, which reduced candidate identification time by 40%.
• Created and maintained internal KPI dashboards using Streamlit, with interactive visuals powered by Plotly.
• Developed a transformer-based NLP model to automatically classify job descriptions in candidate resumes.
• Mined CRM system data to uncover and resolve irregularities, enhancing system reliability.
• Contributed to backend development by extending Django functionalities and optimizing data storage to better support machine learning workflows and future scalability.

Completed an intensive five weeks, Data Science training program for PhDs, focused on delivering a real-world big data solution with immediate business impact.

• Delivered an NLP project in a team of five using Agile methodology, completing it from ideation to prototype.
• Engineered a full text-analysis pipeline for cleaning, topic modeling, and clustering a corpus of human-written documents.
• Applied deep learning methods, including a BERT-based model, to extract key topics and automate information retrieval.
• Built a classification system to tag and categorize incoming documents, significantly reducing onboarding time for new business partners.

White Space Energy (now White Space Solutions) was a small consultancy company supporting decision-making in the Oil & Gas industry through data-driven and AI-based solutions. Andrea was an early recruit before the company rebranding.

• Developed a backend forecasting algorithm using client-provided reservoir data.
• Delivered a custom, flexible tool that predicted natural gas production under varying scenarios, enabling more informed operational planning.
• Enhanced an existing Python algorithm by generalizing it to account for broader geological and operational conditions.
• Collaborated closely with the project manager, software engineer, DevOps specialist, and the client’s technical team to ensure seamless deployment and integration.