Freelancer profile translated to English.
Back to original languageAbout Juan Manuel
Data Scientist & Machine Learning Engineer with +5 years of experience applying AI and machine learning models in high-impact environments. I have worked as a Product Data Scientist in successful startups like Cobee, leading projects that combine data analysis, machine learning, and product vision to scale innovative solutions.
📚 I have a Master's degree specialized in the development of generative AI solutions, which allows me to design and implement products based on LLMs, chatbots, content generation, and intelligent recommendation systems.
🚀 My differential value lies in uniting technical excellence with product vision, delivering AI solutions that not only work but also bring real value to the business.
Spanish
Native or bilingual
English
Conversational
Can work on-site
Madrid (up to 50km)
Experience
- Cobee-Pluxee,Product Data ScientistMarch 2024 - April 2025 (1 year and 1 month)Madrid, Spain• Led the redesign and implementation of a scalable billing system, replacing legacy Tableau processes and increasing operational efficiency. . Migrated key business dashboards to Metabase, im-proving accessibility, performance, and visibility into strategic KPIs. . Designed and deployed multiple ETL pipelines using DBT and Clickhouse to support core analytics and product initiatives.• Collaborated with product and engineering teams to translate business needs into data-driven solutions.• Development of prototyping and idea validation with generative AI
- LadorianMachine Learning EngineerFebruary 2022 - March 2024 (2 years and 1 month)Madrid, Spain. Refactored and optimized the company's ML codebase in Python, improving performance and scalability; migrated applicable logic to BigQuery SQL for improved data efficiency.• Developed models to correlate sales with weather data and perform cross-analyses of sociodemographic segments. . Built a sales forecasting model integrated into the Google Cloud Platform ecosystem, powering real-time decision-making.
- IESE Business SchoolTeaching assistant, Python for Data AnalysisJanuary 2022 - December 2022 (11 months)Barcelona, Spain. Guided participants in learning programming fundamentals, data manipulation, and visualization using Pandas, NumPy, and Matplotlib.
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Education
- Data ScienceThe bridge. Digital talent2021Programming: Python (IDEs: PyCharm, VisualStudio, Jupyter) - Version control: Git - Databases: SQL - Data Sources: APIs, Web Scrapping (Selenium, BeautifulSoup) - EDA, Analysing data, data cleaning, data mining: Pandas, Numpy, SQL, Spark - Data visualization: Matplotlib, Seaborn, Pandas, Plotly - Dashboarding: Power BI - Machine Learning: Supervised & Unsupervised Learning: Scikit-Learn (Linear Regression, Polynomial Regression, Logistic Regression, PCA, SVM, KNN, Tree-Based Models and Ensembles, Clustering algorithms…, Machine Learning with PySpark and Databricks) - Deep Learning: TensorFlow, Keras (Deep Neural Networks, Convolutional Neural Networks, Transfer Learning, Embeddings) - Natural Language Processing: NLTK, SpaCy, Textacy (Stemming, lemmatization, vectorization, tokenization, Sentiment Analysis) - Big Data & ETL: Spark, Databricks, PySpark, AWS Cloud - Model deployment: Flask, Heroku, AWS
- Artificial IntelligenceMadrid 42 fundación TelefónicaVisualmente, la metodología se compone de siete círculos concéntricos, que representan al Common Core, a los que se añaden multitud de satélites a su alrededor que corresponden a las especializaciones. Dentro del Common Core se aprenden nociones fundamentales de programación con proyectos de formación básica. Dentro de mi especialización , estoy centrado en Bid Data e Inteligencia Artificial