About Juan
Juan Pérez Prim is an AI and Analytics expert with 12+ years of experience delivering data-driven solutions across pharmaceuticals, retail, engineering and computer-aided engineering sectors. Specializes in demand forecasting, machine learning models, and deep-learning technologies, adept at transforming complex problems into scalable solutions. Combines technical expertise in statistical modeling, Machine Learning, Deep-Learning, NLP, and Time Series (analysis & forecasting) with agile project leadership to drive innovation.
Certified Scrum Master (PSM I) and educator, passionate about mentoring teams and optimizing decision-making through data.
Key Skills & Tools:
• AI/ML Techniques: Demand forecasting (Deep-learning architectures, SARIMAX, Exponential Smooting, LightGBM), clustering, ML models, NLP, recommendation engine and GenAI.
• Programming : Python, SQL, Spark, C++.
• Functions: Supply Chain (S&OP, demand forecasting), Finance, Commercial Excellence
• Methodologies: Agile, Scrum, end-to-end project delivery.
• Certifications: Professional Scrum Master I, Statistical Inference, Data Science Skills.
• Industries: Pharmaceuticals, Retail, Engineering & R&D.
Spanish
Native or bilingual
English
Native or bilingual
Can work on-site
Madrid (up to 50km)
Experience
- Sandoz - Novartis groupAdvanced Analytics LeadMarch 2020 - Today (6 years and 3 months)SQL Python Airow Snowake PyTorch• Leading a team of 2-3 data scientist focus in improving actual Finance process in planning• Creation of a mix algorithm combining ML/AI and time series techniques to predict demand at SKU level at country level (more than 25.000 monthly) to automate the process of demand forecasting• Usage of multiple algorithm for clustering(e.g Kmeans) , regression techniques for forecasting (LSTM, boosting - xgboost/lightgbm, etc), timeseries (ARIMA, prophet, Exponential smooting, etc)• Generate volume simulator for different flu scenarios that include forecasting impacted molecule depending in the flu incidence plus an allocation tool to solve issue of Antibiotic shortage. Reduce volume by 20% without generating stockout by doing a smart allocation
- IE UNIVERSITYAssociate ProfessorJanuary 2021 - July 2023 (2 years and 6 months)• Professor visualization teaching student how to make more data-driven decisions the students of the Dual Degree in Laws & International Relations
- Nextail LabsData ScientistSeptember 2018 - March 2020 (1 year and 6 months)SQL AWS Python Scikit-Learn NLTK Git• Developed AI models from ideation to deployment for 2 new modules at https://help.nextail.co/en/buy and https://help.nextail.co/en/reorder• Created solutions to optimize order per item in fashion/retail collection through reordering and new product purchasing• Utilized NLP, similarity/clustering algorithms, numerical features, image features, and text descriptions to match new products with similar ones• Implemented algorithms for demand forecasting of product launches and established products based on historical data
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Education
- Data Science bootcamp Data ScienceIE Business School2018Data Science bootcamp Data Science
- Master of EngineeringUniversidad Politecnica de Madrid2010Master degree Civil Engineering