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My Biography

My name is Mohamed BEJI, and I am a data scientist and AI enthusiast with a passion for using data and machine learning to solve real-world problems. I have a background in computer science and mathematics, and I have experience working with a variety of data analysis and machine learning tools and techniques.

I am currently working as a data scientist at Crédit Agricole CIB company, where I use my skills to develop and implement machine learning models for a range of applications, from predictive analytics to natural language processing. In my free time, I enjoy staying up-to-date with the latest developments in the field of AI and attending conferences and meetups to learn from other experts in the field.

In addition to my professional experience, I also have an Engineering Degree in Data Science from the INSAT where I specialized in machine learning and natural language processing. I am constantly looking for new opportunities to expand my knowledge and skills, and I am excited to see where the field of AI will take us in the future.

Med's Projects

appstudtest icon appstudtest

This app is part of an interview test for internship with Appstud

eventy icon eventy

App for handling club events at INSAT using fusetools

insightexplorer icon insightexplorer

Uncovering New Business Opportunities with News and Social Media Insights

medbeji icon medbeji

Config files for my GitHub profile.

nlp-in-practice icon nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

push_notification_backend icon push_notification_backend

A simple backend setup for saving tokenId for iphone devices in mongo to send them push notifications later

smartjournal_frontend_ng2 icon smartjournal_frontend_ng2

This is smart journal website that display articles from Tunisian journals implementing the Infinit scroll and lazyloading

twitter_sentiment_analysis icon twitter_sentiment_analysis

A Streamlit based Twitter Sentiment Analyzer app that fetches Tweets real time, analyzes them and provides Sentiment Scores, Word Cloud, Subjectivity-Objectivity Score and Latest Tweets. Link - https://twitter-analyzerr.herokuapp.com/

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