About Me
I am an undergraduate at the Kwame Nkrumah University of Science and Technology studying Telecom Engineering in the Faculty of Electrical and Computer Engineering under the mentorship of Dr. Francisca Adoma Acheampong.
I have interests in Machine Learning and Quant Finance, focusing on the application of machine learning techniques for problem-solving. Furthermore, I have experience in applying mathematical modeling to predict market capitalization and identify arbitrage betting opportunities. ResearchGate
Projects
Sequential Deep Learning for Credit Risk Modelling
Cause if you ain't doing what you love it's only you to blame
Developing a Sequential Deep Learning framework for Credit Risk Modelling in data-constrained emerging markets. Leveraging Recurrent Neural Networks (RNNs), the model captures temporal dependencies in fragmented financial history data to significantly improve prediction accuracy over traditional methods.
SWELM: Semantic Weighting for Equitable Language Modeling
Call my unborn son and tell him that's the mission
Addressing equitable performance in multilingual NLP models (compatible with Llama 3, GPT). Designed and applied a novel Semantic Weighting and Adaptive Sampling strategy to dynamically adjust training distributions based on language representation quality.
Quant Enthusiasts Risk Engine
Found my position, let's hit the road
Contributed to a comprehensive quantitative risk engine in Python designed for calculating and simulating key financial risk metrics. The engine supports multiple estimation methods for Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). Implemented Monte Carlo simulation capabilities to conduct portfolio stress testing and provide robust risk management analysis for various asset classes.
Papers
2023
Benjamin Ekow Attabra (2023). Market Capitalization Forecasting with Annuity Due Models. This paper presents a mathematical model for estimating the future market capitalization of public companies by adapting the future value of annuity due formula. Using principles from geometric series and compound interest, we demonstrate how this model can provide structured forecasts for company valuations, providing a systematic approach based on established financial mathematics principles.
Benjamin Ekow Attabra (2023). Mathematical Analysis of Multi-Outcome Sports Betting Arbitrage: A System of Equations Approach. This paper introduces a mathematical framework for identifying arbitrage opportunities in three-outcome sports betting markets. By utilizing systems of simultaneous equations, we develop a method for optimal stake allocation across bookmakers.
Experience
Quantitative Research, Forage (JPMorgan Chase & Co), Virtual Experience - October 2024
- Completed a simulation focused on quantitative research methods
- Analyzed a book of loans to estimate a customer’s probability of default
- Used dynamic programming to convert FICO scores into categorical data to predict defaults
Data Analytics Intern, Forage (Quantium), Virtual Experience - March 2025
- Utilized transaction datasets to extract valuable insights and deliver data-driven commercial recommendations
- Identified benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making
- Create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.