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NIDHAL S. AI, Data Science and Web Development

My name is NIDHAL S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Machine Learning, NLP Tokenization, Python, Data Science, etc.. I hold a degree in Engineer's degree, Bachelor's degree, Master's degree. Some of the notable projects I've worked on include: RAG Project for Finance Documents, Google Content Scraping Using LLMs, Full stack project for data analysis (NLP,Angular+flask), Web scraping using Meta API Graph, website scraping and data processing by ELK stack. I am based in Tabarka, Tunisia. I've successfully completed 5 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Data Science and Web Development

    3 years

  • Deep Learning

    2 Years

  • Machine Learning

    2 Years

  • NLP Tokenization

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Upwork

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Experience Highlights

RAG Project for Finance Documents

Develop a RAG workflow to create a chatbot for the financial services team. This chatbot will respond to team inquiries regarding financial bylaws, internal information, project statuses, and governm

Google Content Scraping Using LLMs

Develop a solution for the Tech-Transformation & Digital Team to collect data from keyword searches on the Google engine. This project involves using ScrapingBee to scrape the internet and leveraging

Full stack project for data analysis (NLP,Angular+flask)

In this project, I developed a comprehensive sentiment analysis system for Facebook comments, utilizing Angular for the frontend and Flask for the backend dashboard. The main objective of the project

Web scraping using Meta API Graph

.

website scraping and data processing by ELK stack

..

Education

  • iteam university

    Engineer's degree in Business intelligence and Data Science

  • Carthage university

    Bachelor's degree in Electronic engineering

    2009-01-01-2012-01-01

  • keyce university

    Master's degree in Project Management

    2020-01-01-2023-01-01

Languages

  • Arabic (Native or Bilingual)
  • English (Native or Bilingual)
  • French (Fluent)