MSÜber María
Hi! I'm María, a Data Scientist.
I have a Bachelor's degree in Mathematics and a Master's degree in Big Data and Artificial Intelligence. I specialize in machine learning, NLP, data analysis, and big data to solve complex problems in healthcare, finance, and more. I'm passionate about data science and always looking for new challenges to keep learning and adding value.
Over the years, I have developed multiple projects, including:
✅ Interactive dashboard in Tableau to analyze and visualize the status of financing and loan operations, facilitating strategic decision-making.
✅ Brain tumor classification from medical images using convolutional neural networks, optimizing diagnostic accuracy.
✅ Predictive model for breast cancer risk using supervised machine learning algorithms to improve early detection.
✅ Multi-agent model for disease diagnosis and classification, integrating NLP and advanced AI models for symptom interpretation and clinical data analysis.
✅ Time series analysis and modeling of the number of passengers in the Seville Metro (2012-2024).
To achieve these projects, I have developed a strong set of skills, including:
🚀 Machine Learning (Random Forest, SVM, KNN, XGBoost, etc.)
📊 Exploratory Data Analysis and Data Mining
🖥️ Convolutional Neural Networks (CNNs) for medical images
🧠 NLP and Language Models (LLMs) with Hugging Face
⚙️ Langraph framework and Prompt Engineering to enhance interaction with AI models
📊 Data visualization with Tableau
🐍 Python development applied to data science and artificial intelligence
📈 Time series analysis and predictive modeling with ARIMA and exponential smoothing
Contact me now with no obligation to boost your business with AI and big data!
Spanisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Italienisch
Verhandlungssicher
Französisch
Konversationssicher
Deutsch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- AccentureData EngineerFebruar 2024 - Heute (2 Jahre und 3 Monate)- Data engineering project for one of the leading banks in Spain- Use of AWS (S3, Glue, Step Function) to create ETL pipelines that manage data automatically- Optimization of SQL queries to improve analysis efficiency and execution times- Use of Python in AWS Lambda Functions- Use of Jira for project management and Jenkins as a DevOps tool- Direct collaboration with the client
- DeloitteData AnalystMärz 2023 - Januar 2024 (10 Monate)- Optimization of SQL queries to improve analysis efficiency and execution times- Dashboard Development: Design, develop, and maintain interactive dashboards and reports using Tableau to visualize data accurately and efficiently- Generation of KPIs and trends
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Ausbildung und Abschlüsse
- Master's Degree in Big Data and Artificial IntelligenceComplutense University of Madrid2024Knowledge of machine learning, artificial neural networks, data mining, Spark, Hadoop, and Microsoft Azure Databricks | Knowledge of SQL and NoSQL databases (MongoDB) | Development of algorithms and predictive models with Python | Data visualization with Tableau | Master's Thesis: Multi-agent model for disease diagnosis and classification
- Bachelor's Degree in MathematicsUniversity of Malaga2023Problem-solving skills and logical reasoning | Programming in Python and Scala | Knowledge of optimization, operations research, probability theory, statistical inference, and numerical models for simulations | Erasmus year at Università degli Studi di Firenze, academic year 2021/2022 | Bachelor’s Thesis: Application of the Monte Carlo method in proton therapy
Zertifizierungen
- Relational Databases and SQLStanford University School of Engineering2023