After 6 years of shaping minds in the classroom, I am now leveraging my analytical mindset and love for logic to solve complex problems through Data Science. Currently mastering the craft at TechCrush.

• Languages & Core Data Science: Python: (Pandas, NumPy, Scikit-Learn, XGBoost)
  • Data Engineering: ETL Pipelines, Winsorization (Outlier Handling), Feature Engineering.
• Machine Learning & Modelling:
  • Regression: Random Forest, Decision Trees, Linear Regression.
  • Evaluation: $R^2$ Scoring, Mean Absolute Error (MAE) Analysis.
• Databases & Tools:
  • SQL: (Data Extraction & Manipulation)
  • Workflow: Jupyter Notebooks, Git/GitHub, Gamma (Data Storytelling)
  • Streamlit
  • Plotly
• Focus:
  • Exploratory Data Analysis (EDA): Uncovering "Biological Realities" in climate and agricultural data.
  • Data Visualisation: Matplotlib, Seaborn (Interactive & Static Reporting).
  • Strategy: Translating ML insights into actionable policy (The "Belgium Model").

• 🌾Predictive-Agriculture-Analysis
• ⚽ FIFA-21-Data-Analytics
• 🍕 Pizza Sales Analysis
• [🇬🇭 GES Resource Predictor (In-Progress)](Project Description: Automating the extraction of shredded PDF data (MoE/GSS/UNICEF) to predict regional educational implementation gaps using advanced Data Fusion.)

"Data tells a story, and I'm here to translate it."