Shashank
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5+ Years in ML Researcher, Data scientist
ML Researcher, Data scientist
$-
Ulsan, South Korea
Prefferd tech
Tech Stack: Python, R, Linux, PyTorch, Tensor Flow, Keras, Scikit-Learn, Numpy, Pandas, Tableau, Torch-Geometric, SQL, MongoDB, MariaDB, MATLAB, Docker, Git, GitLab, Flask, FastAPI, OpenCV etc.
Tech Skills: ML, CV, AI mng/impl
Expert’s cases:
Development of predictive maintenance systems focusing on early anomaly detection in industrial equipment current data collected using Smart E-OCR devices.
Explored latest research trends to build a modern machine learning platform for Machine Health Index, Fault classification, RUL (Remaining Useful Life) prediction, Machinery condition monitoring strategies.
Development of system architecture design for real-time stream data processing, model deployment, resource management, and tasks related to DataOps and MLOps.
Development of ML Frameworks and Al Solutions for smart factory data (Data collection and analysis, Anomaly detection, Defect detection)
Development of a real-time anomaly detection platform for time series and image data generated from small and medium-sized industries in Ulsan City using Deep CNN and LSTM Autoencoder-based models. GUI development using Streamlit and API creation using FastApi and Docker.
Multivariate time series anomaly detection with Graph Neural Network (GNN) using causal structure learning of multivariate time series data.
Anomaly detection and root cause analysis (RCA) based on multi-sensor time series generated in manufacturing industries using Bayesian Neural Networks (BNN)