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noursfar/README.md

Hi My name is Nour Sfar

Data Science Engineering Student

I'm a Data Science Engineering student currently enrolled in the Engineering Cycle at ESSAI, specializing in Statistics, AI and Data Science.
🔍 My journey includes hands-on internships at renowned organizations like Orange Tunisia and Institut Pasteur, where I harnessed the power of data through Python, Power-Bi, and various data analysis packages to provide actionable insights.
📊 I thrive on challenges and have engaged in several academic and competitive projects ranging from predictive models for diamond prices and stroke likelihood to sophisticated time series forecasting of economic indicators.
Concepts: Data Modeling, Visualization, ML (Supervised & Unsupervised), Time Series Analysis, LLM's, NLP, Computer Vision, Chatbots, RAG, Finetuning
👥 As the Secretary General of the ESSAI Machine Learning Club and a member of the scientific council, I am deeply involved in community and academic events, continually seeking to foster knowledge exchange and innovation.
📢 Feel free to check out my projects and don't hesitate to connect with me on LinkedIn!

Skills

PythonrlangJavaPHPCVS CodeHTML5CSS3OracleMongoDBMySQLPhotoshopIllustratorTensorFlowPyTorchDjango

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  1. -ML-Stroke-Prediction -ML-Stroke-Prediction Public

    Predictive modeling project using machine learning to identify stroke risk based on health data. Implements logistic regression, decision trees, and random forests with evaluation through ROC-AUC a…

    Jupyter Notebook

  2. Web-Scraping-Price-Benchmarking Web-Scraping-Price-Benchmarking Public

    Web Scraping and Price Benchmarking: A comparative analysis of headphone prices using Python and Beautiful Soup. Includes data extraction, cleaning, and visualization with Power BI.

    Jupyter Notebook

  3. Time-Series-analysis Time-Series-analysis Public

    Analyzing the UK's economic policy impacts on growth using Vector Autoregression (VAR). This project models relationships between growth, monetary mass, inflation, and public spending from 1972-2022.

    Jupyter Notebook

  4. Exploring-Depression-PCA-MCA Exploring-Depression-PCA-MCA Public

    Data-driven exploration of depression using PCA and MCA on a questionnaire dataset. Analyzes demographic and symptom data to classify and understand depression impacts. Developed with R.

    HTML

  5. Simulation-of-the-spread-of-COVID-19-in-2020 Simulation-of-the-spread-of-COVID-19-in-2020 Public

    COVID-19 Spread Simulation 2020: Simulates COVID-19 dynamics using the SIR model, with stochastic elements and Monte Carlo comparisons. Analyzes interventions' effectiveness and predicts epidemic t…

    Jupyter Notebook

  6. HR-Dashboard HR-Dashboard Public

    HR Dashboard for Performance Tracking: A Power BI and Python-based project from my summer internship at Orange Tunisie, designed to help HR professionals efficiently monitor and analyze key perform…

    Jupyter Notebook