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ilyashaikal02/README.md

Hello, World! I'm Ilyas 👋

I am a data enthusiast who lives to experiment and learn. I am constantly seeking out knowledge and being excited by the challenge of learning something new in the Data Science space. MLOps, Machine Learning, data quality and data governance are my passions. I like tinkering in SQL, Python, R and other languages to discover new things.

🚀 Technical Toolkit

Here's a snapshot of the tools and technologies:

  • Programming Languages: Python, R, Java, SQL
  • Data Science Libraries: NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch
  • Data Visualization Tools: Matplotlib, Seaborn, Plotly, Tableau, Power BI, Data Studio
  • Data Analysis Techniques: Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Data Modeling, Statistical Analysis
  • Big Data Technologies: Hadoop & Spark
  • Database Management Systems: MySQL & PostgreSQL
  • Other Tools & Technologies: Git, Jupyter, Metabase, Airflow

💌 Let's Connect!

Interested in discussing data science, an upcoming project, or just want to say hi? Let's connect! Reach me on LinkedIn or drop me an email.

Thanks for stopping by! 👋

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  1. CustomerChurnPrediction CustomerChurnPrediction Public

    Churn Prediction on Telecommunication Company. This is a Classification Machine Learning project using Logistic Regression, Random Forest Classifier, and K-Nearest Neighbors Models. Created as a Fi…

    Jupyter Notebook

  2. Credit-Fraud-Detection Credit-Fraud-Detection Public

    Credit card fraud detection is a challenging problem that requires analyzing large amounts of transaction data to identify patterns of fraud. For the purposes of this project, I trained two predict…

    1

  3. LoanPrediction LoanPrediction Public

    Develop a robust classification model that accurately predicts potential loan defaulters and provide the bank with insightful recommendations regarding crucial factors to consider during the loan a…

    Jupyter Notebook

  4. Online-Retail--Machine-Learning-Unsupervised- Online-Retail--Machine-Learning-Unsupervised- Public

    In this project, I conducted various tasks including unsupervised learning, building an RFM model, clustering, exploratory data analysis (EDA), and building predictive models using machine learning…

    Jupyter Notebook 1

  5. Finance-and-Risk-Analytics-in-Banking Finance-and-Risk-Analytics-in-Banking Public

    This case study aims to give an idea of applying EDA in a real business scenario. In this case study, i will develop a basic understanding of risk analytics in banking and financial services and un…

    Jupyter Notebook

  6. RFM-SEGMENTATION-IN-ECOMMERCE RFM-SEGMENTATION-IN-ECOMMERCE Public

    This project aims to understand the characteristics of customers within each segment. By comprehending the differences among customer segments, the project can provide customized promotional strate…

    Jupyter Notebook