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Computer Programming/Coding
SegmentationI have experience in data labeling and AI training data through various projects, particularly in natural language processing (NLP) and sentiment analysis. One notable project involved scraping and analyzing 9 million tweet mentions from the Twitter API. I utilized Python’s NLP libraries to process the data, set up sentiment analysis scripts, and extract meaningful information such as keywords, hashtags, and media links. Additionally, I created visualizations like word clouds to better understand trends and client satisfaction. Another key project was conducting a case study on the rise of fact-checkers in Morocco, where I transcribed and analyzed interviews with fact-checkers using a qualitative computer-assisted coding system (Atlas.ti). My work involved coding and labeling data to draw insights from the interviews. These experiences have provided me with a solid understanding of data labeling, AI training, and the application of NLP techniques to real-world problems.
TextSegmentation-Scraping 9 million tweet mentions tweets from Twitter API -Setting up sentiment analysis scripts dedicated to the project -Extracting keywords, Hashtags and media links -Creating wordclouds visualisations
TextSegmentation- Conducted extensive interviews with fact-checkers - Transcribed and analyzed interviews using a qualitative computer-assisted coding system (Atlas.ti)
Graduate Certificate, Marketing Research And Analysis
Master’s Degree, Communication
Business Analyst
Data Analyst and Researcher
