Two-Phase Flow & Lubricant Contamination Mitigation in Compression Systems
Расчет шпунтового ограждения по ВСН 136-78 с автоматическим подбором глубины заглубления, эпюрами активного/пассивного давления, изгибающего момента и формированием инженерного отчета.
This project focuses on building an end-to-end time series forecasting system to predict daily grocery sales for different product families across multiple stores. The goal is to leverage historical sales data along with external factors such as promotions, holidays, and oil prices to accurately forecast future demand.
Metadata-first creative asset pipeline demonstrating workflow automation, schema governance, and production efficiency optimization.
ExtendScript-based Photoshop automation tool that programmatically creates structured artboards with metadata-driven naming and layout logic.
Experimented with 16+ deep neural network configurations in TensorFlow on e-commerce demand data to compare tuning sensitivity, performance, and runtime tradeoffs. Best model: 2-layer (128->64), ReLU, Adam, LR 0.001, batch 128, early stopping, validation MAE 12.54 in ~126 seconds.
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