8000 fernandes-s (Daniel Fernandes) · GitHub
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fernandes-s/README.md

H 8000 i, I’m Danny! 👋

A graduate in Computing (Big Data & Data Analytics), passionate about data, automation, and meaningful insights.

Personal Website Badge

👨‍💻 About Me

  • 🎓 BSc (Hons) in Computing, specializing in Big Data & Data Analytics
  • 💼 Internships:
    • Emydex Technology – Software Development
    • ServiceNow – Associate Capacity Engineer
  • 🧠 Focused on data pipelines, process automation, and making sense of complex datasets
  • 🔍 Currently learning more about cloud services, distributed systems, and large-scale analytics

📊 Data Tools & Frameworks

  • Data Analysis & Visualization:
    Pandas, NumPy, Matplotlib, Seaborn, statsmodels, Power BI (learning), Excel (advanced formulas, pivot tables, dashboards)

  • Machine Learning & Modeling:
    Scikit-learn, statsmodels, regression, classification, EDA, feature engineering, model evaluation

  • Databases:
    SQL (complex queries, joins, procedures), SQL Server, MySQL, MariaDB

  • Automation & Scripting:
    Python, Shell scripting, batch scripting, reporting automation

  • Tools & Environments:
    Git, GitHub, VS Code, Jupyter Notebook, Azure DevOps, Jira, Linux (basic ops and monitoring)


🧪 Technologies Used During Internships

  • At Emydex Technology
    C#, .NET, SQL Server, Azure DevOps, Git, Agile/Scrum, Debugging legacy systems, Internal APIs, Report automation

  • At ServiceNow
    Linux, Shell scripting, SQL, Performance monitoring, Cloud diagnostics, Data visualization, Internal tooling, SaaS infrastructure, Jira


📈 GitHub Stats


🎯 2026 Goals

  • 📊 Start a graduate role in data, consulting, or fintech
  • 📦 Build and publish two end-to-end data engineering or science projects (Open to suggestions and collaborations)
  • 📚 Prepare for a Master's in Data Science

✨ Just for Fun

What I wanted to be ➡ What I am ➡ What I expect to be


💻 Languages

Python | SQL | C# | HTML

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  1. loan_default_prediction loan_default_prediction Public

    Predict loan defaults by analyzing borrower and loan attributes. Perform EDA to identify key factors. Implement Logistic Regression, Random Forest, and XGBoost models, evaluating performance with R…

    Jupyter Notebook

  2. System_performance_data_pipeline System_performance_data_pipeline Public

    This project collects real-time CPU and memory usage data, stores it in a SQLite database, and visualizes it using an interactive Dash dashboard. It demonstrates core data engineering skills such a…

    Python

  3. Daft_ie Daft_ie Public

    Analyze and predict residential home prices in Ireland using the Daft.ie dataset. Perform exploratory data analysis (EDA) to identify key factors affecting prices. Develop single-variable and multi…

    Jupyter Notebook

  4. Craving-IT-DB Craving-IT-DB Public

    This repository contains MS SQL scripts for managing a retail company's database. It includes table creation, views for data analysis, and stored procedures for efficient data handling, such as ins…

    TSQL

  5. Credit_Union Credit_Union Public

    Developed a desktop application using the .NET Framework with a Microsoft SQL Server backend for internal bank operations. This three-tiered app handles tasks such as account management, transactio…

    C#

  6. University University Public

    Created an object-oriented C# Graphical User Interface (GUI) on Windows Forms application designed for university operations. This GUI is seamlessly integrated with a relational database, utilizing…

    C#

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