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Saadumar26/README.md

About Me

Greetings, intergalactic data voyagers! I’m M. Saad Umar, a freshly graduated Data Wizard from Bahauddin Zakariya University, Multan, with a BS in Information Technology, trained in the arcane arts of machine learning, deep learning, and the mysterious powers of natural language processing.

My Universe? It’s built from data where each dataset is a constellation and every pattern discovered is a supernova of insight. I’m particularly passionate about NLP, text classification, and transforming raw data into real-world impact.

What am I exploring now?

  • Fine-tuning transformers like DistilBERT for Fake News Detection
  • Building a Multi-label Emotion Recognition System using the GoEmotions dataset
  • Detecting anomalies in financial time-series data using Isolation Forests and LSTM
  • Segmenting customers through clustering algorithms with real-world retail data

From data cleaning incantations to model evaluation spells, I bring magic to every step of the ML pipeline. My tools of choice? Python, TensorFlow, Scikit-learn, Pandas, Matplotlib, and a bit of dark magic (okay… it’s just regular expressions).

I love weaving stories with data, creating visually engaging Streamlit dashboards, and turning chaos into clarity.

Let's Collaborate or Connect! Whether you’re a fellow explorer, recruiter, or just curious about my journey:

Pronouns: Data Wizard / He/Him
Fun Fact: I once tried teaching my goldfish Python. It didn’t quite get the syntax, but it mastered the art of swimming through loops.


"The world is full of data—those who listen carefully can hear it speak."
— M. Saad Umar

🌐 Socials:

LinkedIn X

💻 Tech Stack:

Python C C++ HTML5 JavaScript MySQL Pandas NumPy scikit-learn Matplotlib

📊 GitHub Stats:




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  1. credit-risk-analysis credit-risk-analysis Public

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  2. customer_segmentation customer_segmentation Public

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  3. financial-anomaly-detection financial-anomaly-detection Public

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  4. Iris_Flower_ML Iris_Flower_ML Public

    Jupyter Notebook 1