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Aqlath/README.md

Hi there, I'm Mohammed Aqlath A. 👋

👨‍💻 About Me

  • 🎓 Education: Pursuing B.Tech in Artificial Intelligence & Data Science at C. Abdul Hakeem College of Engineering & Technology (Expected 2027).
  • 🚀 Core Focus: Machine Learning Engineering, Deep Learning, Computer Vision, and AI Applications.
  • 🛠️ Practical Experience: Data Science / Full Stack Intern at Strydo Technologies (July 2025).
  • 📚 Currently Learning: Advanced ML Pipelines, Cloud Data Workflows (AWS S3, AWS Glue), and Production-ready backend patterns.
  • 💬 Ask me about: Python, Machine Learning models (Scikit-Learn, TensorFlow/Keras), Computer Vision (OpenCV), and SQL.
  • 💼 Portfolio: https://mohammed-aqlath-a-portfolio.ai.studio

🛠️ Tech Stack & Tools

Languages & Databases Python SQL PostgreSQL C++

Machine Learning & AI Scikit-Learn TensorFlow PyTorch OpenCV Pandas NumPy

Development & Tools Git Linux Power BI

📌 Core Projects

  • 🚚 Supply Chain Late-Delivery Prediction: End-to-end ML pipeline evaluating high-risk orders using feature engineering, threshold optimization, and metric evaluation (ROC-AUC, PR-AUC).
  • 💼 SQL Job-Market Analysis(India): Exploratory analysis and insights on employment trends and job market data using PostgreSQL queries, CTEs, and window functions.
  • 🔄 Customer Churn & Price Prediction Models: Predictive analytics models utilizing Scikit-Learn to estimate customer behavior and asset pricing.
  • 📊 Sales & Data Analysis: Exploratory data analysis, data cleaning, and insight generation using Python and visualization libraries.

📈 GitHub Stats

GitHub Stats Top Languages

📫 Connect with Me

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  1. supply-chain-late-delivery-prediction supply-chain-late-delivery-prediction Public

    Machine learning project for predicting late-delivery risk using XGBoost, FastAPI, and Streamlit.

    Jupyter Notebook

  2. customer_churn_analysis_and_prediction customer_churn_analysis_and_prediction Public

    Developed a customer churn analysis project using Python, SQL, Power BI, and Machine Learning to identify churn patterns, visualize business insights, and predict customer churn for improving custo…

    Jupyter Notebook

  3. sql_project_on_job_dataset sql_project_on_job_dataset Public

    Analyzed data science job listings across India using SQL to identify in-demand skills, salary trends, job locations, and experience requirements. Applied data filtering, aggregation, joins, subque…

  4. Buisness_Sales_Data_Analysis Buisness_Sales_Data_Analysis Public

    Analyzed business sales data using Python, Pandas, NumPy, Matplotlib, Seaborn, and Plotly to identify regional sales trends, top-performing categories, profitability patterns, and seasonal variatio…

    Jupyter Notebook

  5. car_price_prediction_using_regression car_price_prediction_using_regression Public

    Built a machine learning model to predict car selling prices using Python and Scikit-learn. Applied EDA, feature engineering, OneHotEncoder, ColumnTransformer, and Pipelines to preprocess data, tra…

    Jupyter Notebook

  6. Sales_analysis_dashboard Sales_analysis_dashboard Public

    Created an interactive sales dashboard in Microsoft Excel using Pivot Tables, Pivot Charts, and slicers. Analyzed sales, profit, units sold, regional performance, product categories, and seasonal t…