Ugo German Nwachuku

As a Product Lead for the Casino and Sports department, I generated valuable insights into customer behavior and interactions weekly, monthly, and annually. My focus on customer behavior modeling, promotional impact analysis, and fraud detection helped the business make more informed decisions.

I led the team responsible for financial fraud detection between agents, furthering the mission of automating cyber-security products. I engineered datasets and built models that accurately predict fraud between financial transactions, achieving 85% accuracy on new test data.

As a member of a data science team, I advanced the rule-based prediction approach to a machine learning approach that predicted the lifetime of MSN news articles, resulting in a 15% growth in user activity. I also developed a web application for internal human data labeling to evaluate our model with human input.

As a research assistant, I prepared 1 terabyte of video coverage data for a data analysis study. I used pandas and numpy to remove data duplications by writing case-specific algorithms, which enabled supervised learning algorithms to be applied to the dataset.

As a member of a research group, I led the research into the comparative performance of parametric and non-parametric models on a medical dataset. Our research was published, and I presented our findings at an academic conference.

Completed a Master's degree focusing on advanced topics in computer science. Gained expertise in areas such as machine learning, artificial intelligence, and software engineering principles.

Undertook post-baccalaureate studies in Computer Science to build a strong foundational knowledge. Focused on core computer science concepts and programming paradigms.

Earned a Bachelor's degree in Electrical Engineering, covering fundamental principles of electrical systems and design. Developed strong analytical and problem-solving skills applicable to various engineering challenges.