You are most welcome to my Github😊. My name is Richmond Silvanus Baye and I am a Quantitative Researcher with interest in transdisciplinary, cross-functional collaboration and developing solutions for real-world, large-scale problems.

💼🎓 I’m currently a PhD Candidate at the University of Vermont.

🎓 Alma mater: University of Milan, University of Tuebingen, University of Ghana, University of Cape Coast.

💼 Previously worked as a Researcher with the German Institute of Development and Sustainability.

💼 Previously worked as an IT Engineer with Digital Charging Solutions GmbH (BMW & Mercedes Benz).

📓 Familiar with: Language: Python (sklearn, numpy, pandas, matplotlib, seaborn, tensorflow, scipy, econml), R, Stata, Eviews, Gephi, SPSS. Tools: SQL, PySpark, GitHub, Tableau, Microsoft Office Tools, JIRA. Frameworks & Methods: Machine Learning (Classification (SVM, Decision Trees, Random Forest, Logistic Regression), Regression, PCA, TSNE, DBSCAN, Gaussian Mixture), Bayesian Network (Markov Blanket, Semi-Supervised Learning, Augmented Naïve Bayes), Causal ML, Research Designs, Survey Designs, Decision Science, Data Visualization, Bayesian Hierarchical Models, A|B Testing. Statistical Models (Random Regret model, Mixed logit models, Panel Data Analysis, Time Series Analysis, Structural Equation Modelling, Latent Class Analysis, Non-parametric Regression)

📓 Current interest: Deep learning, System Dynamic Models, Agent Based models, PySpark, and Bayesian Networks

📫 Contact: [email protected]

⚡ FC Bacelona Fan, Soccer, Volley Ball, and Table Tennis.