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Adeleye-Emmanuel/README.md

👋 Hi, I'm Emmanuel Adeleye

⚙️ Machine Learning Engineer | 🧠 NLP/LLM Developer | 📊 Financial Data Science

Welcome to my repository!!

I am a data scientist and machine learning engineer with a background in Engineering, operational workflows, and a core interest in leveraging artificial intelligence and LLM frameworks to build solutions with big data in the frontiers of tech, finance and quantitative analysis. This repository consists of a plethora of projects across different fields with the primary goal of being a space where critical thinking meets evolving tools and data to create tangible insights that will translate to business value.

🛠️ Current Focus Areas and Future Work Spans

  • 📊 Financial ML: Market sentiment modeling, quantitative pipelines, regulatory data automation
  • 📈 Applied NLP: Production-ready LLMs (RAG, FinBERT, GPT-4), sentiment analysis, real-time insight generation
  • 🔐 Cybersecurity ML (Network Intrusion Detection)
  • 🧠 Retrieval-Augmented Generation (RAG) for QA & insights
  • 🛠️ End-to-End ML Systems with structured pipelines and real-time capability

🌍 Let’s Collaborate

I’m passionate about solving high-impact problems with:

  • Finance: Alpha extraction, news-to-trade signals
  • Healthcare: Patient feedback mining, clinical NLP
  • Tech: Scalable retrieval systems, adversarial ML

🌐 Let's Connect

If you have an idea or would like to collaborate on any subject, feel free to connect with me and let's build solutions together.

Thanks for visiting my GitHub! 🌍✨

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  1. Pairs-Trading-Statistical-Arbitrage Pairs-Trading-Statistical-Arbitrage Public

    Jupyter Notebook

  2. Volatility-Forecasting-Using-Regime-Aware-LSTM-and-GARCH-Model Volatility-Forecasting-Using-Regime-Aware-LSTM-and-GARCH-Model Public

    Analyzes S&P 500 volatility through clustering, stationarity testing, and regime detection. Combines GARCH and LSTM models in a hybrid framework to forecast market risk, leveraging both economic in…

    Jupyter Notebook 1

  3. Context-Extraction-Modeling-Contextual-Sentiment-Analysis-Over-Time Context-Extraction-Modeling-Contextual-Sentiment-Analysis-Over-Time Public

    Built a context-aware sentiment analysis framework by combining Named Entity Recognition, GPT-3.5 summarization, and FinBERT classification. Extracted fine-grained sentiment tied to specific market…

    Jupyter Notebook 1

  4. Financial-News-Modelling Financial-News-Modelling Public

    Developed an unsupervised pipeline that clusters financial headlines into 100+ meaningful topics using BERTopic and HDBSCAN. Integrated sentiment analysis to track market sentiment volatility and v…

    Jupyter Notebook 2

  5. Modular-Real-Time-Financial-News Modular-Real-Time-Financial-News Public

    Designed a modular pipeline that fetches real-time financial news from NewsAPI, Alpha Vantage, Reddit, and Bloomberg RSS feeds. Leveraged Cohere embeddings, FAISS indexing, and LLMs via LangChain t…

    Jupyter Notebook 1

  6. E-Commerce-Multisource-Review-Analaysis-Product-QA E-Commerce-Multisource-Review-Analaysis-Product-QA Public

    Aggregated product reviews from Amazon, Reddit, and YouTube to build a unified review analysis engine. Applied BERTopic to discover user pain points and praise patterns, then developed a Retrieval-…

    Jupyter Notebook 1