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Machine Learning ENGINEER

Micah Okpara

HELLO! Welcome to my portfolio site! I’m Micah, a Data Scientist and Machine Learning Engineer. With a knack for building robust systems using GenAI and predictive modelling, I help transform data into value. I am currently open to Data Science and ML Engineering roles.

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Lion-AI: AI Chatbot & Coding Tutor

Lion-AI is an intelligent conversational assistant designed to help students and developers master coding and computer science concepts. combines advanced system prompting with a RAG pipeline trained on University of Nigeria course materials. This curriculum-aware approach allows it to provide precise, context-specific debugging and explanations.

  • Python
  • Langchain
  • ChromaDB (RAG)
  • GCP
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Nigerian Stock Market Forecaster

Forecasting financial trends requires precision and robust historical analysis. This tool predicts stock prices for blue-chip companies on the Nigerian Stock Exchange (NSE). By training models on multi-sector financial data, it identifies market patterns and provides price forecasts, demonstrating how predictive analytics can be applied to solve real-world financial challenges in emerging markets.

  • Python
  • Tensor Flow
  • Pandas
  • Matplotlib
Nigerian stock market price prediction

Lagos Real Estate Price Predictor

Navigating the housing market requires data-driven insights. This project utilizes machine learning to predict property prices across Lagos by analyzing critical features like location and amenities. By applying advanced feature engineering and location- based data analysis, the model provides accurate price estimations, helping users make informed real estate investment decisions in a volatile market.

  • Python
  • Scikit-Learn
  • Pandas
  • XGBoost
Real Estate Price Predictor

Student Performance Predictor

This machine learning application goes beyond simple grading by predicting a student's likelihood of graduating with First Class Honors. Trained on real-world university data, the model analyzes academic history and study habits to provide personalized, actionable insights. It helps students identify their strengths and weaknesses early, empowering them to make data-driven adjustments to their study routines to achieve academic excellence.

  • Python
  • Sckit-Learn
  • Pandas
  • Stream-lit
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