Anouar Nabil

Tools: NLP, Topic Modeling, Social Network Analysis, Colab, Twint, Graphs, NetworkX, Gensim, Neo4j, Gephi, Python, NLTK, Spacy, LDA, Raspberry pi, Docker. Achievement : Data scrapping with Twint. Key influencer detection in social networks with centralities metrics(SNA). Key influencer classification per topics with Topic Modeling. Embedding on Raspberry pi including Docker.

Technologies : Computer Vision, Deep Learning, Reinforcement Learning, Sensor Fusion, Localization, Planning, Control, System Integration. PREREQUISITE KNOWLEDGE : Python (Classes, Data structures). C++ (Classes, Memory management, Linking). Linear Algebra (Matrices, Vectors, Matrix multiplication). Calculus (Derivatives, Integrals). Statistics (Mean, Standard deviation, Gaussian distribution). Physics (Forces), Robotics (Sensors, Implementation).

Realization of a Smart Home Prototype : Oculus. Tools : Arduino Wemos, Node Mcu, Sensors, Raspberry pi.

Networks of Comfort Monitoring Sensors. Tools : Arduino ESP8266, DHT11, LDR, Blynk, Cayenne. Achievement : Sensor Networks, Local Server (Raspberry pi), Energy Monitoring, Cloud Computing & Mobile App.