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Lekssz/README.md

👋 Hi, I'm Gbemileke Micah (Lekssz)

🎓 MSc Data Science (Distinction) | Kingston University London 📊 Data Analysis • Machine Learning • AI • Reinforcement Learning • Financial Systems

LinkedInGitHubEmail


🚀 About Me

I'm a Data Science graduate passionate about building data-driven solutions for real-world problems. My interests span machine learning, reinforcement learning, data analytics, and quantitative finance, with a focus on applying analytical methods to trading systems, forecasting, and decision support.


💻 Tech Stack

Languages & Tools

PythonSQLGitGitHubPowerBITableauOracleAWS

Libraries & Frameworks

PandasNumPyScikit-LearnPyTorch


🧠 Featured Projects

📈 Multi-Modal Reinforcement Learning Trading Agent

  • Built a PPO-based trading agent for BTCUSD and EURUSD
  • Integrated market prices, news signals, macroeconomic indicators and CNN embeddings
  • Performed feature ablation and cross-asset robustness testing
  • Evaluated using returns, Sharpe ratio, drawdown and trading metrics
  • Fully simulation-based implementation

🚢 Royal Anchor Shipping Database

  • Designed a normalized SQL database for a global shipping system
  • Modeled customers, vessels, routes, cargo, bookings and logistics operations
  • Implemented constraints, relationships and validation queries

📊 GitHub Analytics

GitHub Stats

Top Languages

GitHub Streak


📊 Interests

📊 Interests

• Machine Learning Applications • Feature Engineering • Financial Market Modelling

  • • Quantitative Finance • Reinforcement Learning

📫 Connect With Me

💼 LinkedIn: https://www.linkedin.com/in/gbemileke-micah

📧 Email: micahleke@gmail.com

🐙 GitHub: https://github.com/Lekssz

Popular repositories Loading

  1. leks leksPublic

    Principum

  2. Lekssz LeksszPublic

    Config files for my GitHub profile.

  3. technical_trading_strategy technical_trading_strategyPublic

    A technical trading strategy for trading currencies

  4. time-series-forecasting-comparison time-series-forecasting-comparisonPublic

    Time-series model comparison (ARIMA/Prophet/LSTM) on equities; 7/30-day forecasts, uncertainty bands, and RMSE/MAE.Not investment advice

    Jupyter Notebook

  5. royal-anchor-shipping-db royal-anchor-shipping-dbPublic

    A complete relational database system for managing global shipping operations, including customers, bookings, containers, vessels, routes, port calls, crew assignments, and office staff. Built with…

  6. rl_trading_agent rl_trading_agentPublic

    Multi-modal RL trading agent (CNN + PPO) integrating market prices, macroeconomic indicators, and news signals . MSc dissertation artefact.

    Python