I build applied machine learning systems that help organizations make better decisions — whether that’s forecasting demand, defining product metrics, running experiments, or improving how resources are allocated.
- Barcelona, Spain
- http://babaniyi.com
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LLMs-for-RecSys
LLMs-for-RecSys PublicFinetune a pre-trained GPT-2 model to generate personalized product recommendations for users, based on product reviews and metadata
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multimodal_llm_recsys_amazon
multimodal_llm_recsys_amazon PublicMultimodal LLM for Product Recommendation achieving 83.3% Hit Rate and 29% Precision. Combines GPT-2 with visual features (ResNet) for superior Amazon product recommendations, outperforming traditi…
Python 2
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Deep-contextual-bandits
Deep-contextual-bandits PublicDeep contextual bandits in PyTorch: Neural Bandits, Neural Linear, and Linear Full Posterior Sampling with comprehensive benchmarking on synthetic and real datasets
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nuban_classifier
nuban_classifier PublicThis Python project validates and classifies Nigerian bank accounts based on the Nigeria Uniform Bank Account Number (NUBAN) scheme.
Python
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bandits
bandits PublicAlgorithms for multiarmed bandits such as e-greedy, thompson sampling, etc.
Jupyter Notebook
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BusinessML
BusinessML PublicUsing ML to solve business questions such as customer metrics, journey, growth and segmentation.
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