Hello World !
Hi! I'm Kawthar, a Data Scientist soaking up the Mediterranean sun in Marseille, France.
With three years of hands-on experience, I've had the pleasure of exploring the data landscapes of both large corporations and small businesses, extracting valuable insights from raw information.
Armed with my degrees, I bring both the theoretical knowledge and practical skills needed to unravel the mysteries of data. My journey encompasses the dynamic interplay of data analysis and machine learning, showcasing a versatile skill set.
But I'm more than just algorithms and models. My soft skills—communication, problem-solving, and adaptability—complement my technical proficiency, making me a collaborative force in any team.
I find joy in coding projects for personal fulfillment, expressing creativity through painting, immersing myself in the latest games, learning new languages, exploring the depths of philosophy books, and regular workouts.
Let's connect and dive into discussions about AI, the latest in technology, captivating video games, or the most binge-worthy TV shows.
Tools
Resume
Education
Master of Science in AI Project Management
2020 - 2022
La Plateforme Campus, France
Pursued advanced practical coursework in Data Science and management, specializing in Machine Learning, NLP, Computer Vision, and Statistical Learning. Acquired expertise in these advanced domains, fostering a comprehensive skill set.
Post-Graduate of Artificial intelligence
2019 - 2020
Centrale Méditerranée, France
The comprehensive program encompasses Full-Stack Web Development, Data Visualization, Big Data Technologies, Data Classification, Deep Learning, and Design Thinking. Participants acquire advanced skills in dynamic web application development, data visualization expertise, Big Data utilization, data classification techniques, Deep Learning algorithm mastery, and problem-solving through Design Thinking.
Master's Degree of applied Mathematics
2017 - 2019
Aix-Marseille University, Saint-Charles Faculty, France
The Data Science program specializes in data management, visualization, and analysis. It covers applied mathematics (probability, optimization, signal and image processing), statistics, and computer science (machine learning, databases, programming). The curriculum enables to conduct advanced data analysis, design statistical and predictive tools, make data-driven decisions, implement innovations, and manage projects effectively.
Bachelor's Degree of Mathematics
2014 - 2017
Aix-Marseille University, Saint-Charles Faculty, France
This program gives a strong foundation in mathematics along with exposure to computer science and other sciences. It fosters critical thinking, mathematical proficiency, teamwork, and communication skills.
Professional Experience
Data Scientist
Jul 2023 - Present
Groupe ADF inc., France
- Currently conducting detailed analysis of conversational scenarios to optimize communication flow within applications.
- Actively working on automating parsing of security procedures reports, aiming for efficient processing of relevant data.
- Utilizing OCR technology for precise data labeling tasks, ensuring accurate categorization of large datasets.
- In the process of engineering a chatbot system for ADF employees, which is expected to lead to significant time savings; ongoing extensive training and testing of LLMs (FastChat, LLama) to enhance responsiveness.
Head of AI Education
Jan 2022 - Present
La Plateforme Campus, France
- Developed and managed the school's AI curriculum, tailored for diverse student backgrounds and skill levels.
- Authored educational content and provided hands-on support to students, fostering a conducive learning environment.
- Monitored student progress regularly and adapted instructional approaches to maximize learning outcomes.
- Contributed to the overall development of the school, promoting AI education and inspiring students' interest in technology and innovation.
Data Scientist
March 2022 - Jul 2022
NGE-BTP, France
- Implemented data scraping processs of LinkedIn posts for NGE and it's competitors.
- Automated scraped data storage and managed it's accessibility.
- Cleaned and analysed scraped data using Python and Power BI.
- Provided insights that highlighted NGE's popularity relative to its competitors in terms of user engagement.
Data Scientist
March 2020 - August 2020
BOURBON OFFSHORE SURF, France
- Performed statistical analysis of various onboarding data (intervention's, seafarers' and ships' information).
- Automated different processes of data cleaning and data generation.
- Developed a Flask API that estimates most suitable crew members based on experience, position and nationality of seafarers.
- Contributed to crew management costs with the development of a decision-support tool for crew managers.
Data Scientist
2018 - 2019
Data Observer, France
- Performed a thorough analysis of a corpus with various textual data.
- Detected and assessed the quality of topics or themes within the corpus using Latent Dirichlet Model.
- Visualized and monitored the behavior of these topics over time.
- Provided valuable insights for Data Observer to enhance their client reputation monitoring efforts.