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Looking for data science remote opportunities
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jamiubadmusng/README.md

Jamiu Olamilekan Badmus

Economist • Data Scientist • Research Analyst

About Me

I am Jamiu Olamilekan Badmus. I am a PhD Candidate at the University of Birmingham, United Kingdom, working on the ESRC DTP Project titled "Trade Policy, Sustainable Value Chains, and Reshoring: National and Regional Perspectives from the UK" under the joint supervision of Professor Sami Bensassi (University of Birmingham) and Dr. Agelos Delis (Aston University).

🎓 Background

  • PhD in Economics at the University of Birmingham, United Kingdom — fully funded by the ESRC DTP Strategic Joint Studentship, 2026-2030
  • Erasmus Mundus Master's in Economics of Globalization and European Integration (EGEI) — fully funded by the European Commission, 2023-2025
  • M.Sc. & B.Sc. Economics (Distinction & First Class) — Tai Solarin University of Education, Nigeria

🔬 Economics Research

Focus Areas: International Trade • Trade Policy • Industrial Organization • Environmental Economics

Current research examines the multidimensional impact of sustainability-focused trade policy, such as the Carbon Border Adjustment Mechanism (CBAM), on product-level trade, firm-level investment and reshoring, and regional welfare distribution in the UK and EU

Repositories: Replication packages (usually in R) • Code for published & working papers

🤖 Data Science Projects (by industry)

🛠️ Tech Stack

Python R Stata Scikit-learn Pandas XGBoost GitHub

Bridging economic theory with data-driven insights

Pinned Loading

  1. opensource-success-predictor opensource-success-predictor Public

    🔮 Machine learning model predicting GitHub repository success using early activity signals (first 30 days). Achieves 91.3% ROC-AUC on 34K+ repos from GH Archive data.

    Jupyter Notebook 1

  2. customer-churn-prediction customer-churn-prediction Public

    🛒 Machine Learning model to predict customer churn in e-commerce using RFM analysis and LightGBM. Achieved 77% ROC-AUC with 75% recall. Features SHAP interpretability, 24 engineered features from 5…

    Python 1

  3. sdid_gravity_monte_carlo sdid_gravity_monte_carlo Public

    Staggered DID in Structural Gravity Monte Carlo Analysis

    TeX 2

  4. ex-ante-afcfta-replication ex-ante-afcfta-replication Public

    Replication package for Ex-Ante Economic Impacts of the AfCFTA

    R 1

  5. GEPPML-R GEPPML-R Public

    R implementation of General Equilibrium Analysis with PPML by Anderson, Larch, & Yotov, 2018.

    R 1

  6. credit-risk-assessment credit-risk-assessment Public

    Machine learning model to predict loan defaults using the German Credit dataset. Features cost-sensitive classification, SHAP interpretability, and risk segmentation with 80.43% ROC-AUC. Built with…

    Jupyter Notebook 1