Quantitative analytics and risk engine implementing seasonal commodity pricing, an event-driven asset storage simulator, credit risk valuation (EL), and an optimal FICO score quantizer utilizing dynamic programming log-likelihood optimization.
ALX Higher level programming projects are solutions to solve complex challenges
Classification (Pattern Recognition) algorithm development with Bayesian, Anti-Bayesian, Decision Tree and Dependence Tree concepts. [IEMIS 2020, Springer AISC]
Developed a custom clustering algorithm to analyze wine data without traditional machine learning. The project standardizes features and employs mathematical formulas using NumPy to identify distinct clusters, offering insights into wine sample groupings and their characteristics.
Adaptive hierarchical EMS model for the 2012 Chevrolet Volt Plug‑In Hybrid Electric Vehicle using a Genetic Algorithm and a Deep Learning predictor trained on GA‑optimized control actions.
Real-time radar perception pipeline for automotive systems with multi-target detection, velocity estimation, and spatial localization.
Exploration of brain-inspired computing architectures through computational neuroscience models, focusing on point neuron dynamics and spiking neural networks (SNNs) using Nengo. Bridges concepts from neuroscience, computer science, and electrical engineering.
A collection of Python assignments and algorithmic exercises from the Innopolis University programming course. Includes implementation of core data structures, basic algorithms, and weekly coding challenges.
A focused fork of an anomaly detection library, dedicated to enhancing and extending the PatchCore model.
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