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Achievement: Pull Sharkx2Achievement: YOLO

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Achievement: Pull Sharkx2Achievement: YOLO

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Eldeewealth/README.md

Hi there, I'm Loveday Okoro 👋

📊 Data Analyst | MSc Data Analytics & Technologies
📍 United Kingdom

🌐 Portfolio: https://loveday-data-profile.vercel.app
🔗 LinkedIn: https://linkedin.com/in/amlovedayokoro

🚀 About Me

I'm a data analyst passionate about transforming complex datasets into actionable insights that drive smarter business decisions.

I specialize in data analysis, machine learning, and data visualization, with a strong interest in financial analytics and responsible AI. I enjoy uncovering patterns, building predictive models, and communicating insights through clear, impactful data storytelling.

🔭 What I'm Currently Working On

  • 📈 Enhancing a fairness-aware algorithmic trading model
  • 📊 Building interactive dashboards using Excel and Power BI
  • 🧠 Improving machine learning models and evaluation techniques

🌱 Currently Learning

  • Advanced machine learning & model optimisation
  • Cloud data platforms (Azure / BigQuery)
  • Data engineering fundamentals

🛠️ Technical Skillset

📊 Data Analysis & Visualization

SQL Excel Power BI Matplotlib Seaborn

🧠 Programming & Machine Learning

Python R Scikit-learn XGBoost LightGBM

📈 Analytics & Business Skills

EDA Predictive Modeling Statistical Analysis KPI Development Data Storytelling

📂 Featured Projects

🧾 Harvard Reference AI (Academic Referencing Assistant)

Built an AI-powered tool to help students validate sources, check journal credibility, and correctly format Harvard Author–Date references without generating academic work.
✅ Detects suspicious or predatory journals
✅ Validates DOIs and verifies metadata accuracy
✅ Formats Harvard references correctly
✅ Supports academic integrity and research quality

Preview & request access

📈 Fairness-Aware Algorithmic Trading

Developed a machine learning model for S&P 500 trading with fairness constraints and explainability using SHAP. Includes backtesting and performance evaluation.
✅ Tools: Python, XGBoost, LightGBM, SHAP

🚗 Car Sentiment Analysis (Web Scraping)

Built a web scraper to collect car reviews and performed sentiment analysis to extract insights from customer opinions.
✅ Tools: Python, Scrapy

🧠 Gambling & Mental Health Analysis (UK)

Analysed the relationship between gambling behaviour and mental health trends using real-world datasets.
✅ Tools: Data Analysis, Visualization

📊 Used Car Data Analytics

Analysed pricing trends for used cars using R and statistical techniques (team project).
✅ Tools: R, Data Cleaning, Visualization

📊 GitHub Stats

Loveday's GitHub stats

Top Languages

📫 Connect With Me

⭐ Passionate about using data to solve real-world problems and drive impactful decisions

Pinned Loading

  1. Query_Squad_Project Query_Squad_Project Public

    This is a Data Analytics Project by a committed team, where used Car Data was collected using R

    R 4 3

  2. Project-Car-Sentiment-Data Project-Car-Sentiment-Data Public

    This project is a Scrapy-based web crawler designed to extract car reviews and automotive news

    Python 1

  3. Fairness-Aware-XAI-for-Responsible-Algorithmic-Trading Fairness-Aware-XAI-for-Responsible-Algorithmic-Trading Public

    A reproducible S&P 500 trading ML project: DP‑constrained learning (Fairlearn), SHAP insights, calibration diagnostics, and economic evaluation via backtesting.

    Jupyter Notebook

  4. Gambling_MentalHealth_MSc Gambling_MentalHealth_MSc Public

    Focuses on the Relationship between Gambling and Mental health in the UK

    HTML

  5. loveday-data-profile loveday-data-profile Public

    TypeScript 1

  6. customer-churn-retention-analysis-dashboard customer-churn-retention-analysis-dashboard Public

    End-to-end customer churn analysis using Excel by featuring an interactive dashboard, key churn insights, and data-driven retention strategies.