ELVIS TATA TANGHANG
Machine learning at Carnegie Mellon University Africa Rwanda
Computer Engineering at Carnegie Mellon University Africa
Rwanda
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Earn your badgeHi, I'm ELVIS TATA TANGHANG!
Machine learning at 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.
Experience
Carnegie Mellon University Africa Rwanda
Machine learning
January 2024 - Present
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 - Present
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 - Present
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.
Education
Computer Engineering
Carnegie Mellon University Africa
Graduating in 2025
Carnegie Mellon University Africa
Certificates & Badges
No certificates or badges added
Projects
No projects added
Languages
English
Native
French
Intermediate
Skills
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