Researched and published a paper, "Enhancing Forecasting Accuracy Through Artificial Intelligence-Driven Complexity-Conscious Prediction Modeling," published in Journal of Advances in Artificial Intelligence (JAAI, http://doi.org/10.18178/JAAI.2024.2.1.60-78).
Summary
•Principal AI Scientist ...
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Researched and published a paper, "Enhancing Forecasting Accuracy Through Artificial Intelligence-Driven Complexity-Conscious Prediction Modeling," published in Journal of Advances in Artificial Intelligence (JAAI, http://doi.org/10.18178/JAAI.2024.2.1.60-78).
Summary
•Principal AI Scientist with over 25 years of industry experience, excelling in Data Science and AI, with a track record of impactful AI research and model development.
•Recognized as the originator of the 'complexity-conscious prediction' concept in AI, which enhances prediction accuracy through an intricate understanding of systemic complexities.
•Demonstrated mastery in machine learning, deep learning, and Generative AI through the publication of the book 'AI-Driven Time Series Forecasting: Complexity-Conscious Prediction and Decision-Making."
Skills
Python, scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, SciPy, Matplotlib, Data Science, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Deep Learning, Reinforcement Learning, NLP, Generative AI, Generative Adversarial Network (GAN), VAE, Transformers, LLM, BERT, BART, T5, GPT, Vertex AI, AWS, SQL, Agile, Jira, Java, R, SAS, Quantitative Research, Problem-Solving, Collaboration
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