Abdessamad Nafissi

Linguistics-trained NLP engineer with a passion for harmonizing language and technology. Leveraging a solid foundation in linguistic theory, I adeptly design and implement cutting-edge NLP algorithms and models that unravel the intricacies of human communication. My expertise spans a spectrum of NLP techniques, machine learning methodologies, and language-specific insights, enabling me to craft intelligent language systems that resonate with linguistic authenticity.

With a track record of developing applications ranging from sentiment analyzers to domain-adaptive chatbots, I bring a unique blend of linguistic nuance and computational prowess to create impactful solutions at the intersection of linguistics and NLP.

I manage to build an NLP model that deals with text data from twitter. The model does a lot of data processing such as replacing emojis with text, removing bad words, correcting typos… before proceeding to sentiment analysis.

The global tech market is experiencing exponential growth in the ML field. My background in linguistics, which is a subfield of NLP, had led me to an interesting Data Science program that focuses more on NLP, NLU and Transformers, which I ended up embracing. That’s how my self-taught journey began.

My first step was learning Linear Algebra to gain an understanding of concepts used in AI, such as Gaussian elimination, vectors and matrices, and Euclidean n-spaces. The next step was to learn how to use statistical models to draw conclusions from experimental and survey data. The third step was to learn the core techniques and applications of AI with Python, including Machine Learning, Deep Learning (RNN, CNN & Transformers), with a focus on Natural Language Processing.

My self-taught journey culminated with the creation of a model that is made up of a custom NLP pipeline for sentiment analysis, where I applied most of the knowledge I gained. (Link attached)