Private tutor teaching Maths & Physics to high school and college students.

10-months project-oriented training as part of a master in Data Science.Global Skills:- Project Planning and Organization- Coding Practices- Data Management- Model Development- Evaluation and Deployment- Communication and CollaborationTechnical skills:- Data cleaning- Exploratory data analysis (uni- and multivariate)- Dimensionality reduction- Supervised and unsupervised model training, hyperparameters optimisation, performance evaluation- Deep learning processing on textual and visual data- API and dashboard deployment- Code versioning (Git)- Big Data model deployment, distributed computing (AWS, Spark)Libraries :- Numpy, pandas, scikit-learn- Matplotlib, seaborn, plotly, shap- Tensorflow, Keras, LightGBM, XGBoost- FastAPI, streamlit, gunicorn- Pyspark

Hardware synapses for computer vision and reservoir computing:- Artificial synapses for interfacing event-based camera- Non-linear regression on experimental data- Benchmarking against state-of-the-art performances in conventional deep learning- Matlab simulation: reservoir computing with memristors

Studies on phase-change materials for novel types of memories.

Studies on phase-change materials for novel types of memories.

Exploring concepts of memristor for neuromorphic computing architectures

Developement of instrumentation for thin film deposition multi-chambers

Microstrip detectors characterization for International Linear Collider project