09/17/2025 updated
100 % available
Data Scientist with experience in Machine Learning, Deep Learning and AI
Pescara, Italy
Only remote
Master's Degree in Data ScienceHTMLArtificial Neural NetworksData MiningPython (Programming Language)Machine LearningNumPyRecommender SystemsTensorFlowPraxis EMR (Electronic Medical Record System)PyTorchRandom ForestDeep LearningConvolutional Neural NetworksGitpandas
Programming
Experience in Python with a focus on Pandas, NumPy, TensorFlow, Scikit Learn, PySpark, and PyTorch, as well as HTML and R for data analysis and modeling.
Machine Learning
Development and implementation of machine learning algorithms such as Linear Regression, Logistic Regression, Random Forest, and Support Vector Machines to create data-driven solutions.
Deep Learning
Design and training of Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and LSTM models for complex data analysis and predictions.
Data Mining
Application of techniques such as k-NN, Product Quantization, LSH, Nearest Duplicate Detection, and Recommendation Systems to extract valuable insights from large and complex datasets.
Tools and Technologies
Practical experience with Docker and Git for efficient development and deployment processes in data projects.
Statistical Analysis
Conducting exploratory and inferential analyses to investigate correlations and develop predictive models for market trends.
Geospatial Data Analysis
Development of algorithms based on location and behavioral data to deliver personalized recommendations and real-time interactions.
Experience in Python with a focus on Pandas, NumPy, TensorFlow, Scikit Learn, PySpark, and PyTorch, as well as HTML and R for data analysis and modeling.
Machine Learning
Development and implementation of machine learning algorithms such as Linear Regression, Logistic Regression, Random Forest, and Support Vector Machines to create data-driven solutions.
Deep Learning
Design and training of Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and LSTM models for complex data analysis and predictions.
Data Mining
Application of techniques such as k-NN, Product Quantization, LSH, Nearest Duplicate Detection, and Recommendation Systems to extract valuable insights from large and complex datasets.
Tools and Technologies
Practical experience with Docker and Git for efficient development and deployment processes in data projects.
Statistical Analysis
Conducting exploratory and inferential analyses to investigate correlations and develop predictive models for market trends.
Geospatial Data Analysis
Development of algorithms based on location and behavioral data to deliver personalized recommendations and real-time interactions.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishGoodItalianNative speakerSpanishGood
Project history
Development of a corporate driving app based on geospatial data; implementation of algorithms that provided personalized suggestions to users to improve driving performance; improvement of real-time interaction with the user through insights based on location and behavior.
Statistical analysis of Italian wine prices and study of the correlation with other variables influencing their composition; support to the team in the creation of predictive models to monitor market trends.