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amoakoh22/README.md

👋 Hi, I'm Samuel Amoakoh

AI Expert | MSc Financial Engineering (in progress)

I design, deploy, and govern enterprise AI and automation systems that deliver measurable business impact. Currently deepening my expertise in quantitative finance, risk modelling, and financial analytics.


🤖 What I Do Now

  • Design and deliver enterprise AI and automation solutions for production use
  • Evaluate AI model quality, reliability, and compliance readiness
  • Build modular automation systems integrating business apps and core platforms
  • Lead AI adoption strategy, training, and governance frameworks
  • Create audit-ready documentation for IT, compliance, and management audiences
  • Train executives and teams on practical, business-focused AI use cases

🛠️ AI & Automation Stack

AI & Intelligent Automation

  • Microsoft 365 Copilot (Premium), Power Automate (Cloud & Desktop), Power Apps
  • Playwright, browser automation, agentic workflows
  • AI governance, model evaluation, quality assurance

Data Science & ML

  • Python, R, Scikit-learn, TensorFlow, tidyverse
  • Regression, decision trees, clustering, neural networks

Quantitative Finance(building)

  • Financial modelling, risk analytics, derivatives pricing
  • Statistical methods for financial markets

Enterprise & Operations

  • SharePoint, OneDrive, Entra ID (access control, governance)
  • Process documentation, compliance frameworks

🏗️ Project Highlights

🤖 Enterprise AI & Automation

  • Architected modular automation systems connecting business applications to core banking platforms
  • Built end-to-end workflows: data extraction → processing → validation → reporting
  • Delivered solutions that meet IT, compliance, and audit standards

📊 E-waste Prediction (ML Research)

  • Predicted household e-waste generation using machine learning models
  • Designed and validated survey instruments with KoboToolbox
  • Identified key behavioural and socio-economic drivers of disposal practices

🌱 Policy & Sustainability Analytics

  • Applied statistical methods to environmental and behavioural data
  • Produced data-driven insights to support evidence-based policy decisions

🔄 My Journey

PhaseRoleFocus
🤖 NowAI ExpertEnterprise AI, automation, governance
📐 NowMSc Financial Engineering (in progress)Quantitative finance, risk modelling
🏛️ Public SectorNSP at MESTI, GhanaEnvironmental policy analytics
📜 CertificationCertified Data ScientistML, statistical modelling
🎓 FoundationMathematics GraduateResearch, quantitative methods

📊 GitHub Activity

Samuel's GitHub Stats

Top Languages


🎯 Focus Areas

  • AI strategy, adoption, and governance
  • Enterprise automation and workflow design
  • Quantitative finance and financial engineering
  • AI model quality and evaluation
  • AI training and capability building

🤝 Open to Collaborate On

  • Enterprise AI and automation projects
  • Quantitative finance and risk modelling
  • AI governance and compliance frameworks
  • Data science and ML applications

📫 Contact


"Mathematics is the poetry of logical ideas." – Albert Einstein

Pinned Loading

  1. rag-chat-with-multiple-pdfsrag-chat-with-multiple-pdfsPublic

    PDF Chatbot built with LangChain, ChromaDB, and Hugging Face Transformers. Enables users to upload multiples PDF files (up to 5) and ask questions about their content.

    Jupyter Notebook

  2. Create-LLM-DatasetCreate-LLM-DatasetPublic

    Jupyter Notebook

  3. XAUUSD-PCP-Trading-ModelXAUUSD-PCP-Trading-ModelPublic template

    This project uses a Sequential Neural Network (SNN) to identify Bullish and Bearish PCP patterns in EURUSD 15-minute candlestick data for Forex trading.

    Jupyter Notebook 1

  4. sa_ghana_oil_boom_or_bustsa_ghana_oil_boom_or_bustPublic

    Predict Ghana's crude oil future! ⛽️ This repo uses time series analysis (ARIMA/SARIMA) to forecast production & consumption trends based on historical data. Explore scripts, analysis, & visualizat…

    Jupyter Notebook

  5. Forex-Pairs-Correlation-AnalysisForex-Pairs-Correlation-AnalysisPublic

    Comprehensive correlation analysis of XAUUSD, BTCUSD, and major forex pairs using Python, statistical insights, and visualizations for financial analytics

    Jupyter Notebook 2

  6. Advanced-Insights-and-Practical-Guide-to-ARCH-Testing-Advanced-Insights-and-Practical-Guide-to-ARCH-Testing-Public

    A detailed exploration of ARCH testing with mathematical insights and R code implementation.