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Ishikawa7/README.md

Davide Grimaldi

GIF

🔭 I’m currently working as a data scientist and machine learning engineer.

🏢 At the moment I am working for Nicomac europe s.r.l. (Nicomac website) on machine learning control projects, use of machine learning in industrial processes.

👀 I’m interested in artificial intelligence, math, computer science

💞️ I’m looking to collaborate on research/innovative projects

💻 I’m currently Working on: machine learning control, technology transfer, deep learning models, data pipelines, deployment of AI solutions, optimization problems

🌱 I’m currently learning: Graph neural network, Game theory, Quantum computing, Quantum machine learning, Agile development

📝 I regularly: read scientific papers and articles on edge technologies in AI, prototype new systems to deal with real problems

💬 Ask me about: solutions to impact reality thanks to data science and artificial intelligence, make processes more efficient through optimization algorithms

📄 Know about my experiences Resume

Reach me

Github | Discord ishikawa7#4156 | Telegram @montag1984 | Email davidegrimaldi92@gmai.com |

About me

I'm an eclectic computer scientist who deals with the entire data science process, from raw data management, to machine learning modeling, to product release. I am inclined to prototype new solutions to give insight into any complex problem. I prioritize collaboration with other professionals to create information that is useful and effective, but also as accurate and detailed as possible. I'm knowledge-oriented through operational approach.

Key words

#Machine learning, #Deep learning, #Operation Research, #Programming, #Anomalies detection, #Time series analysis, #Genetic Algorithms, #Heuristic algorithms, #Network Analysis, #Optimization, #Forecasting, #Cloud, #Datascience, #MLOps, #Applied Math, #Machine learning control, #Reinforcement learning

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  1. Travel-salesman-problem-comparison-genetic-antcolony-greedy Travel-salesman-problem-comparison-genetic-antcolony-greedy Public

    Performance comparison beetween genetic algorithm, ant colony algorithm, greedy algorithm on travel salesman problem

    HTML

  2. Demo-Customers-Analytics Demo-Customers-Analytics Public

    Customers analytics with python following STP marketing framework

    Jupyter Notebook

  3. Tensorflow-classification-and-multiclassification-tests Tensorflow-classification-and-multiclassification-tests Public

    Classification and multiclassification tests with Tensorflow

    Jupyter Notebook

  4. Vertex-AI-pipeline-kubeflow Vertex-AI-pipeline-kubeflow Public

    A basic ML pipeline with Kubeflow deployed on Google Cloud Platform using Vertex AI

    Jupyter Notebook

  5. comparison-of-different-clustering-techniques-with-metrics comparison-of-different-clustering-techniques-with-metrics Public

    Comparison of different clustering techniques: KMeans, Hierarchical Agglomerative, Fuzzy, Affinity propagation, SOM. with metrics

    HTML

  6. Numpy_vs_Tensorflow_vs_Cython_vs_C_vs_Rust Numpy_vs_Tensorflow_vs_Cython_vs_C_vs_Rust Public

    Matrix multiplication speed comparison between Numpy-Tensorflow-Cython-C-Rust

    Jupyter Notebook