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suhaibmukhtar/README.md

Hi there, I'm Suhaib Mukhtar! πŸ‘‹

πŸš€ Data Scientist | Machine Learning & AI Enthusiast | Data Analyst

Welcome to my GitHub profile! I'm a passionate data scientist with expertise in machine learning, deep learning, data visualization, and predictive modeling. I enjoy working on real-world data challenges and transforming raw data into actionable insights.

πŸ”₯ About Me

  • πŸ“Š Experienced in Python, R, SQL, SAS, Tableau, Excel
  • πŸ€– Specializing in Machine Learning, Deep Learning, NLP, Generative AI, and LLMs
  • πŸ”Ž Skilled in Data Wrangling, Feature Engineering, and Model Optimization
  • πŸ› οΈ Familiar with MLOps, Cloud Computing (AWS, GCP), and Big Data Technologies
  • πŸ“š Always learning and exploring new advancements in AI and data science

πŸ“Œ Projects & Contributions

Here are some of my key projects:

  • πŸ“ˆ Financial Performance Analysis: Assessing company financials using ratio analysis and machine learning.
  • πŸƒ Human Activity Recognition: Predicting activities using smartphone sensor data with ML models.
  • πŸ’¬ Sentiment Analysis: Implemented LSTM and BERT models for sentiment classification of text data.
  • πŸ“Š Netflix Data Analytics: Built interactive Tableau reports to analyze streaming trends.
  • πŸ’‘ ECG Signal Classification: Applied deep learning techniques to classify ECG signals for medical diagnosis.
  • 🎯 Student Performance Prediction: End-to-End Machine Learning project with MLOps, including data ingestion, transformation, model training, and experiment tracking using MLflow. Features modular design, logging, custom exception handling, and deployment to AWS EC2 for real-time predictions.
  • πŸ’° End-to-End Loan Prediction: This project develops an end-to-end machine learning pipeline to predict loan approval likelihood using Python, MLflow for experiment tracking, and ML-pipelines for training and prediction. It incorporates Git/GitHub for version control, and Pytest for automated testing to ensure the validity of each step.

πŸ“š Latest Blogs & Articles

I occasionally write about data science topics. Check out my latest posts:

  • Optimizing Machine Learning Models for Better Performance
  • Feature Selection Techniques for High-Dimensional Data
  • Understanding Transformers and BERT for NLP

πŸ“« Connect With Me

πŸ’» Tech Stack

Python
TensorFlow Scikit-Learn Pandas Excel Machine Learning Deep Learning Generative AI LLMs Data Analysis


πŸ’‘ "Data is the new oil, and machine learning is the refinery." πŸš€

Pinned Loading

  1. ChatterGen-Interactive-Chatbot-Powered-by-GenAI ChatterGen-Interactive-Chatbot-Powered-by-GenAI Public

    ## implement the LLM model using Langchain library

    Jupyter Notebook 1

  2. Drug-Review-Sentiment-Analysis Drug-Review-Sentiment-Analysis Public

    Sentiment analysis in NLP uses deep learning to categorize text sentiment into positive, negative, or neutral classes. It involves data preprocessing, representation with embeddings, diverse model…

    Jupyter Notebook 2

  3. Credit_Card_fraud_Detection_with_Explanability Credit_Card_fraud_Detection_with_Explanability Public

    This repository implements a credit card fraud detection system using machine learning. It employs Python libraries like Pandas, NumPy, and Scikit-learn to analyze a Kaggle dataset through data exp…

    Python 1

  4. StudentPerformancePrediction StudentPerformancePrediction Public

    End-to-End Machine Learning project with MLOps, including data ingestion, transformation, model training, and experiment tracking using MLflow. Features modular design, logging, custom exception ha…

    Jupyter Notebook 1

  5. EndToEndLoanApprovalPrediction EndToEndLoanApprovalPrediction Public

    This project develops an end-to-end machine learning pipeline to predict loan approval likelihood using Python, MLflow for experiment tracking, and ML-pipelines for training and prediction. It inco…

    Python 1

  6. PdfAssisstant PdfAssisstant Public

    The Diabetes Query Assistant is a Retrieval-Augmented Generation (RAG) application designed to provide intelligent and accurate answers to queries related to diabetes. By leveraging advanced AI tec…

    Python