Former Aerospace Engineer turned Product Manager and AI enthusiast. Passionate about Aerospace, Science, and Machine Learning. A lifelong learner, I'm always expanding my knowledge in Science, Programming, Engineering and AI.
- Programming: Python, Shell scripting
- Databases: SQL, MongoDB, Redis, Casandra, Firebase
- Data Engineering: Docker, Dask, Airflow, NiFi, Hadoop, Spark, MPI, Debezium, Kafka, Mosquitto
- Data Science: Scikit-Learn, TensorFlow, NumPy, SciPy, Matplotlib, seaborn, OpenCV, MediaPipe, gym, NLTK, beautifulsoup4, OpenAI API
- Web/API: Flask, Postman, Bootstrap, Swagger, mapbox, Google Places
- Numerical and Experimental Investigation of Flow Confinement Effects on UAV Rotor Noise
- Numerical and Experimental Investigation of Wingtip-Mounted Propellers
- Exhaust and Muffler Aeroacoustics Predictions using Lattice Boltzmann Method
- Lattice-Boltzmann Very Large Eddy Simulations of an Underexpanded Jet from a Rectangular Nozzle with and without Aft-deck
I'm open to collaborations on topics related to Aerospace, Science or Machine Learning.
- LinkedIn: Clement Nardari