During her time at AIMS, Kady focused on conducting a comparative analysis of prediction performance between statistical models and Recurrent Neural Networks (RNNs) for stock market forecasting. Analyzing eight distinct stock market indices, she concluded that RNNs outperformed statistical models as more reliable predictors of market trends.

Currently, Kady serves as a Power BI consultant at Data Strategy Group in Côte d’Ivoire.

Looking back on her time at AIMS Cameroon, Kady shared that it was a pivotal point in her personal and professional growth. She said: “AIMS served as a guiding light, strengthening my belief in pursuing a career in science. It equipped me with fundamental skills to navigate the data landscape, both academically and professionally. AIMS instilled in me a mindset of resilience, encouraging perseverance in overcoming challenges and continuously striving for excellence.”