Maribel Casillas

Coordinated and supervised sales quotas for the NOLA region, optimizing the achievement of commercial goals through efficient quota distribution and performance analysis of 300 representatives.
Implemented solutions to resolve commercial disputes and optimized productivity with Anaplan and SAP Commissions.
Tools used: Power BI, SAP Commissions, Anaplan

Led the IBP/S&OP process in Mexico, aligning commercial, operational, and financial functions to generate a collaborative forecast. Improved forecast accuracy by 28% and reduced inventory by 8.4%, decreasing waste of MTO products by 20%.
Performance analysis (Forecast Accuracy, BIAS, OTIF, Stock Days, Fill Rate, Service Level, PSA, backorders, Budget vs. Forecast).

Led business development for Non-Pharma, achieving annual sales of $392 million, representing 60% of total sales for the chain.
Increased sales of key categories by 22% and achieved 500% growth in the Coffee category.
Managed 2000 SKUs and 70 national suppliers, optimizing inventories and business relationships.
Tools used: Intelisis, Qlik Sense, Dynamics, Gsuite

Led the IBP/S&OP process in Mexico, aligning commercial, operational, and financial functions to generate a collaborative forecast. Improved forecast accuracy by 28% and reduced inventory by 8.4%, decreasing waste of MTO products by 20%.
Performance analysis (Forecast Accuracy, BIAS, OTIF, Stock Days, Fill Rate, Service Level, PSA, backorders, Budget vs. Forecast).

Managed demand planning for 1100 pharmacies and 5 distribution centers, optimizing inventory levels and improving supply rates.
Implemented forecasts with a MAPE of 30% and managed reorder points and replenishment schemes to maintain adequate inventory levels.
Tools used: SQL, Datamart, Forecast Pro

Led the S&OP process for three businesses in the industrial division (Purification, Abrasives, and Oil & Gas), managing annual sales of $2.8 million.
Improved the abrasives fill rate by 30% through monthly S&OP reviews and collaboration with cross-functional teams.
Achieved a WAPE of 77% in SKU-level sales projections, improving forecast accuracy.

Grade: 9

Activities and societies: I developed skills in Data Science, Artificial Intelligence, and Machine Learning, applying Python frameworks like Pandas, NumPy, and Scikit-learn to manipulate data, build predictive models, and generate insights for decision-making. 🔹 Data mining, processing, and visualization using Matplotlib and Seaborn. 🔹 Development of supervised and unsupervised machine learning models.

Grade: 9

Activities and societies: I developed skills in Data Science, Artificial Intelligence, and Machine Learning, applying Python frameworks like Pandas, NumPy, and Scikit-learn to manipulate data, build predictive models, and generate insights for decision-making. 🔹 Data mining, processing, and visualization using Matplotlib and Seaborn. 🔹 Development of supervised and unsupervised machine learning models.

I acquired key knowledge in Business Intelligence, Data Analytics, and Dimensional Modeling to transform data into valuable insights for decision-making.

🔹 Creation of interactive dashboards and visualization tools.
🔹 Design and development of data models based on dimensional modeling.
🔹 Development of Business Intelligence solutions applied to real-world problems.

Grade: 9.4

I graduated with honors with my written project on the implementation of S&OP in organizations.

Grade: 8.0

Activities and societies: Student government

Graduated with a specialization in manufacturing.