ELVIS TATA TANGHANG
Machine learning en Carnegie Mellon University Africa Rwanda
Ingeniería de Computación en Carnegie Mellon University Africa
Ruanda
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Machine learning en Carnegie Mellon University Africa Rwanda
I am a passionate and goal driven individual who seeks to use data analytics, machine learning and embedded system skills to build cutting edge solutions that solve real world problems. Eager to contribute to projects that align with my interests and skills in the field of data-driven solutions and community development. Adept at leveraging analytics and machine learning skills to derive actionable insights from complex datasets. Committed to making a positive impact through community work and volunteering, seeking opportunities to apply analytical expertise to real-world challenges. Seek to use logical and technical skills to explore novel technological advancements, innovations and apply such technologies to solve problems.
Experiencia
Carnegie Mellon University Africa Rwanda
Machine learning
January 2024 - Presente
Trained and evaluated four machine learning models to select the best model for the Titanic survival prediction.
Turned the hyperparameters using grid search and selected the best model based on the cross-validation accuracy.
Validation accuracies; decision tree (91.8%), KNN (86.5%), logistic regression (83.4%) and decision tree (76.05%)
Carnegie Mellon University Africa Rwanda
Data Analyst
January 2023 - Presente
Analyzed and interpreted complex data; weather and electricity consumption in France 2017. Generating insights and developing data driven solutions
Trained and optimized an OLS model through stepwise feature selection with 88.2% accuracy.
Virtualized the relationship between weather features and the daily energy consumption.
Carnegie Mellon University Africa Rwanda
Machine learning
January 2023 - Presente
Prepared and explored customer’s credit card data to build a dual machine learning model for effective services.
Developed and evaluated an unsupervised ML model to segment customers.
Trained a decision tree model with 96.2 % accuracy and deployed on a webpage using Flask.
Educación
Ingeniería de Computación
Carnegie Mellon University Africa
Graduado en 2025
Carnegie Mellon University Africa
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
No se agregaron proyectos
Idiomas
Inglés
Nativo
Francés
Intermedio
Habilidades
Object-Oriented Programming (OOP)
Computer Vision
Python Data Structures
Machine Learning Algorithms
Linear Algebra
CPP
Artificial Neural Network Algorithms
Supervised Learning
Unsupervised Learning
SQL Database
Linux