π Expert in Data Science | Statistical Modelling Enthusiast | R & Python Developer
π¬ Iβm a data scientist with over 5 years of experience applying statistical learning, machine learning, and causal inference to real-world problems across agriculture, public health, fintech, and development sectors.
π‘ Iβm passionate about making data actionable and reproducible β from exploratory data analysis to building predictive models and communicating insights with clarity.
π§ What I'm currently working on:
- NLP and LLMs
- Computer vision pipelines for sports analytics
- Real-time monitoring dashboards using R Shiny & Streamlit
- Causal machine learning for social impact projects (e.g. poverty & GBV)
π€ Letβs Collaborate On:
- Statistical computing & visualization in R and Python
- Open-source research tools & templates
π¬ Reach Me:
β‘ Fun Fact: I don't like to lose, but I love learning from failure.
π GitHub Stats