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imad-ah/README.md
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β•‘  initializing connection to the wired...                        β•‘
β•‘  user     : imad_ah                                             β•‘
β•‘  layer    : data Β· intelligence Β· systems                       β•‘
β•‘  location : Morocco / wired                                     β•‘
β•‘  status   : [ ● online ]                                        β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•

βŒ— imad_ahnich

Data Science Β· Machine Learning Β· AI β€” in training

IDS Student @ Γ‰cole SupΓ©rieure de Technologie, Fkih Ben Salah πŸ‡²πŸ‡¦


LinkedIn Gmail GitHub


> whoami

class Imad:
    name       = "Imad Ahnich"
    role       = "IDS Student Β· Data Scientist in training"
    school     = "EST Fkih Ben Salah, Morocco"
    os         = "Fedora / Nobara Linux"
    seeking    = "Stage PFE 2 mois β€” Data Science / AI / ML"

    interests  = [
        "Machine Learning",  "Deep Learning",
        "Big Data",          "NLP",
        "MLOps",             "AI Systems",
    ]

    currently  = {
        "building" : "Spam Detection System (NaΓ―ve Bayes Β· SVM Β· CNN+LSTM)",
        "learning" : ["Transformers", "Hadoop/Spark", "FastAPI deployment"],
    }

    quote      = "Present day. Present time. β€” Let's build."

> skills --list

πŸ“ Languages & Libraries

Python C C++ SQL PL/SQL NumPy Pandas Scikit-learn

🧠 AI / Machine Learning / Deep Learning

TensorFlow Keras PyTorch

Models known:
  Classical ML  β†’  Linear/Logistic Regression Β· SVM Β· NaΓ―ve Bayes Β· Random Forest
  Deep Learning β†’  ANN Β· CNN Β· RNN Β· LSTM Β· Transformers (basics)
  NLP           β†’  TF-IDF Β· Tokenization Β· Text Classification

🐘 Big Data & Databases

Apache Hadoop Apache Spark PostgreSQL NoSQL

🌐 Web & Deployment

Flask FastAPI Django HTML CSS JavaScript

🐧 System & Tools

Linux Git Docker Google Colab VS Code


> ls projects/

πŸ“§ [spam-detection-system]

Comparaison ML & Deep Learning pour dΓ©tecter spam SMS/Email

β”œβ”€β”€ models/   NaΓ―ve Bayes Β· SVM Β· Random Forest Β· Logistic Regression Β· CNN+LSTM
β”œβ”€β”€ nlp/      TF-IDF vectorization Β· text preprocessing
β”œβ”€β”€ api/      DΓ©ploiement Flask / FastAPI
└── eval/     Accuracy Β· Precision Β· Recall Β· F1-Score Β· ROC-AUC

Python TensorFlow Scikit-learn FastAPI


πŸ“ˆ [lstm-stock-prediction]

PrΓ©diction de cours boursier avec LSTM bi-couche

β”œβ”€β”€ preprocessing/   MinMaxScaler Β· sΓ©quences temporelles
β”œβ”€β”€ model/           LSTM 2 couches Β· EarlyStopping Β· Dropout
└── eval/            MSE Β· RMSE

Python TensorFlow Colab


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"No matter where you go, everyone is connected."
                                    β€” Lain Iwakura

⚑ Open to internship opportunities in Data Science & AI β€” Morocco

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