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ShaikhBorhanUddin/README.md

Profile

Shaikh Borhan Uddin

Profile Summary

Passionate and results-driven data science professional with a strong foundation in theoretical mathematics and advanced expertise in machine learning, big data analytics, and cloud-based AI solutions. Completed MSc in Big Data & Data Science Technology (Distinction) with hands-on experience in developing scalable data science solutions for healthcare, security, retail, and logistics industries. Highly skilled in Python, SQL, TensorFlow, and visualization tools, with strong problem-solving, analytical, and collaborative abilities.

Technical Skills

  • Programming & Query Languages: Python, SQL
  • Machine Learning & AI: scikit-learn (Regression, Classification, Clustering), TensorFlow, Keras, Transfer Learning, Deep Learning (CNNs, RNN/LSTM)
  • Natural Language Processing (NLP): NLTK, TextBlob, VADER, TF-IDF, Word2Vec, BERT, Aspect-Based Sentiment Analysis
  • Data Visualisation & Explainable AI: Matplotlib, Seaborn, Plotly, Tableau, SHAP, LIME, Grad-CAM, Score-CAM
  • Databases & Data Manipulation: PostgreSQL, MySQL, Pandas, NumPy
  • Tools & Platforms: Jupyter Notebook, Google Colab, VS Code, GitHub, Kaggle
  • Deployment & Web: Streamlit, Gradio, Flask, Hugging Face, HTML, CSS, Markdown

Academics

Northumbria University

Master of Science
Big Data & Data Science Technology
Significant Coursework: Machine Learning on Cloud, Big Data Analytics, Applied Data Science, Cyber Security, Digital Leadership, Research Methodology, Science & Technology Project
Result: Distinction (75%)

BASIS Institute of Technology & Management (BITM)

Certified Training Course
Data Science and Machine Learning using Python
Significant Topics: Python Basics, OOP, SQL, NumPy, Pandas, Statistics for Data Science, Matplotlib, Seaborn, Classical Machine Learning, Scikit-Learn

South Thames College

Post Graduate Certificate
Strategic Management & Leadership
Significant Coursework: Change Management, Financial Principles, Corporate Culture

Jagannath University

Master of Science
Theoretical Mathematics
Significant Coursework: Operations Research, Number Theory, Numerical Analysis

National University

Bachelor of Science
Theoretical Mathematics
Significant Coursework: Linear Algebra, Fortran Programming, Statistical Methods, Applied Statistics

Projects

Facial Emotion Recognition

Application / Industry: Customer Service, Security, Marketing, Telemedicine, Healthcare
Models / Tools: ConvNeXtBase, VGG19, EfficientNetB0, EfficientNetB2, EfficientNetB3, EfficientNetB4, EfficientNetB5, ResNet50V2, ResNet101V2, ResNet151V2, GradCAM, GradCAM++
Project Link: https://github.com/ShaikhBorhanUddin/Facial-Emotion-Recognition

Pneumonia Detection from X-ray Images

Application / Industry: Healthcare, Medical Imaging
Models / Tools: ConvNeXtBase, DenseNet121, ResNet50V2, ResNet101V2, VGG16, GradCAM, GradCAM++, ScoreCAM
Project Link: https://github.com/ShaikhBorhanUddin/Pneumonia-Detection-from-CXR-using-Transfer-Learning-Models

Fashion Image Classification

Application / Industry: E-commerce, Marketing, Retail
Models / Tools: ResNet101, DenseNet121, VGG19, MobileNetV2, ScoreCAM, GradCAM, GradCAM++
Project Link: https://github.com/ShaikhBorhanUddin/Zalando-Fashion-Clothing-Classification

Pizza Topping Classification

Application / Industry: Retail, Food Industry, Restaurants, Food Delivery
Models / Tools: ResNet101V2, ConvNeXtBase, EfficientNetB4, VGG19, GradCAM, GradCAM++
Project Link: https://github.com/ShaikhBorhanUddin/Pizza-Topping-Classification

Vehicle Insurance Claim Fraud Detection

Application / Industry: Insurance, Automobile, Law Enforcement
Models / Tools: Logistic Regression, KNN, Decision Tree, Random Forest, AdaBoost, SVM, XGBoost, Seaborn
Project Link: https://github.com/ShaikhBorhanUddin/Vehicle-Insurance-Claim-Fraud-Detection

Credit Card Transaction Fraud Detection

Application / Industry: Insurance, Banking, E-commerce, Tele-communication
Models / Tools: Logistic Regression, KNN, SGD, Decision Tree, LightGBM, Random Forest, AdaBoost, SVM, XGBoost, CNN, Seaborn
Project Link: https://github.com/ShaikhBorhanUddin/Credit-Card-Transaction-Fraud-Detection

Spam Detection

Application / Industry: Banking, E-commerce, Retail, Social Media Platforms, Tele-communication
Models / Tools: MultinomialNB, BernoulliNB, Logistic Regression, Random Forest, XGBoost, SVC, MLPClassifier, AdaBoost, CNN, LIME
Project Link: https://github.com/ShaikhBorhanUddin/Spam-Detection-With-Machine-Learning

Customer Sentiment Analysis in Streatham Area Restaurants

Application / Industry: Restaurant Management, Customer Experience, Market Research
Models / Tools: NLP, TextBlob, DistilBERT, VADER, Aspect-Based Sentiment Analysis, Matplotlib
Project Link: https://github.com/ShaikhBorhanUddin/Customer-Sentiment-Analysis-in-Streatham-Area-Restaurants

Brazilian E-Commerce Data Analysis

Application / Industry: E-Commerce, Business Intelligence, Supply Chain, Customer Analytics
Models / Tools: PostgreSQL, SQL, Python (Pandas, Matplotlib), Tableau
Project Link: https://github.com/ShaikhBorhanUddin/Brazilian_E_Commerce_Data_Analysis

Unicorn Company Analysis

Application / Industry: Startup Analysis, Venture Capital, Market Research
Models / Tools: Python (Pandas, Seaborn, Matplotlib), Data Visualization
Project Link: https://github.com/ShaikhBorhanUddin/Unicorn_Company_Analysis

Zomato Data Analysis

Application / Industry: Food Delivery, Restaurant Analytics, Business Intelligence
Models / Tools: PostgreSQL, SQL, Python, Tableau, ERD Modeling
Project Link: https://github.com/ShaikhBorhanUddin/Zomato-Data-Analysis

Inventory Management

Application / Industry: Supply Chain, Warehouse Management, Retail Analytics
Models / Tools: PostgreSQL, SQL, Excel, Tableau
Project Link: https://github.com/ShaikhBorhanUddin/Inventory_Management

Pinned Loading

  1. Facial-Emotion-Recognition Facial-Emotion-Recognition Public

    A deep learning project for classifying seven core emotions from facial expressions using transfer learning on RGB images. Focused on model performance, efficiency, and real-world applicability.

    Jupyter Notebook 2

  2. End-to-End-NLP-Pipeline-for-AI-Generated-Text-Detection End-to-End-NLP-Pipeline-for-AI-Generated-Text-Detection Public

    End-to-end NLP project for detecting AI-generated text using ML, DL, and transformer models. Features real-time predictions, confidence scores, and explainability via an interactive Gradio app.

    Jupyter Notebook

  3. Machine-Learning-Based-Health-Insurance-Premium-Prediction-System Machine-Learning-Based-Health-Insurance-Premium-Prediction-System Public

    A deployable machine learning system for estimating medical insurance premiums using realistic, leakage-controlled health and lifestyle features.

    Jupyter Notebook

  4. New-York-Family-House-Price-Prediction-Using-Machine-Learning New-York-Family-House-Price-Prediction-Using-Machine-Learning Public

    This project focuses on predicting sale prices for low-density residential family houses in New York City, specifically one, two, and three-family dwellings and homes.

    Jupyter Notebook

  5. Unicorn_Company_Analysis Unicorn_Company_Analysis Public

    The Unicorn Company Analysis project aims to explore and analyze the global landscape of unicorn startups — privately held companies valued at over $1 billion.

    HTML

  6. Pizza-Topping-Classification Pizza-Topping-Classification Public

    The Pizza Topping Classification project is centered around developing a deep learning model capable of automatically identifying different pizza toppings from images.

    Jupyter Notebook 1