Khalil Snoussi

• Learned Deep Learning algorithms, and used them in Tensorflow
• Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings.
• Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
• Transformed raw data to conform to assumptions of machine learning algorithm.
• Multi Layer Perceptrons, Recurrent neural Networks, Convolutional networks
• Natural Language processing techniques with a bunch of Recurrent neural networks including LSTM (long short-term Memory) networks.
• Used Natural Language Processing techniques with the combination of LSTM networks to extract Twitter Sentiments.
• Build a web Scrapper including a Tweet scrapper (without Twitter's API, sorry twitter) only basic GET/POST requests with Python's Library BeautifulSoup and Requests).
• Object detection and recognition tasks with ConvNets.

• Worked on analyzing and finding the contributing factors to students academic success.
• Used data from the widely known TIMSS surveys, and used the following techniques :

- Principal component analysis

- Decisional Trees

- Random Forests

- multiple correspondence analysis

- Factor analysis of mixed data

Tools :

-R programming language

-Python libraries : Scikit-learn and Scipy

• Studied extensively in machine learning engineering and design, specializing in automation.
• Presented data science findings to peers, illustrating progress made during various tasks.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations.