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GuechtouliAnis/README.md

👋 Hello there, I'm Anis

Data Enthusiast 📊 | Football Fan ⚽

Where data sparks the light of revelation. ✨

📜 About Me

I'm a Data Scientist with a strong foundation in analytics, machine learning, and natural language processing. My journey started with a 5-month internship at CAAR, where I built a Streamlit dashboard analyzing sales, claims, and client KPIs, which sparked my interest in transforming raw data into actionable insights.

I then completed a 7-month Data Science internship at Djezzy, where I worked on practical NLP applications, including the development of an internal HR chatbot using LLMs and RAG pipelines.

Most recently, I worked at SIG Service on three large-scale Odoo migration projects (>200GB), using Apache NiFi and SQL to build and debug high-volume data pipelines, ensure schema consistency, and produce technical documentation for IT and business teams.

My academic background includes a Master’s degree in Data Science, where I explored both structured and unstructured data. This profile reflects my work across data analysis, visualization, machine learning, and natural language processing, with a strong focus on delivering end-to-end, business-driven solutions.

📧 Contact Me

For more information, collaborations, or if you'd like to connect on data science or football analytics, feel free to reach out!

Email

LinkedIn

Kaggle

Resume

I look forward to connecting with you!

⭐ Tech Stack

Throughout my learning journey in data science I have developed expertise in various skills and tools. I've used these in a wide range of projects, from initial data analysis to building machine learning models.
Here's an overview of what I've worked with :

Programming

Python

SQL

Pandas

Pyspark

Matplotlib

Plotly

Numpy

Scikit-learn

LangChain

Streamlit

NLP & AI Tools

Ollama

Hugging Face

ChromaDB

unsloth

Data Management

SQLite

MySQL

Oracle

PostgreSQL

Apache NiFi

Dashboarding & BI Tools

Tableau

PowerBI

Excel

Development & Version Control

Jupyter

Kaggle

Git

Github

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  1. xG-model xG-model Public

    An Expected Goals (xG) model built with StatsBomb open data. The project covers data scraping, cleaning, feature engineering, model training, and evaluation to estimate goal probabilities from shot…

    Jupyter Notebook 2

  2. Telco-churn-prediction Telco-churn-prediction Public

    Streamlit web app for Telecom Customer Churn Prediction using machine learning. Includes multiple optimized models (XGBoost, Random Forest, etc.), dynamic UI, real-time probability scoring, and an …

    Jupyter Notebook

  3. Machine-Learning-College-Projects Machine-Learning-College-Projects Public

    This repository contains four machine learning projects developed during college, covering email spam detection, emotion classification in Urdu, voice classification, and iris recognition. Each pro…

    Jupyter Notebook

  4. Football-Data-Scraping Football-Data-Scraping Public

    A Jupyter Notebook project to scrape detailed football data from FBref, covering various leagues. The repository includes both the data collection process and a final cleaned dataset for immediate …

    Jupyter Notebook 5

  5. TSF TSF Public

    A collection of projects completed during The Sparks Foundation internship, including a retail analytics dashboard and two small machine learning models.

    Jupyter Notebook

  6. Knapsack Knapsack Public

    A web application built with Streamlit to solve the knapsack problem using mixed-integer optimization. Users can input the values and weights of different items, set a knapsack limit, and select be…

    Python