08/24/2025 updated
100 % available
Machine Learning Expert | AI-Driven Systems | Predictive Analytics
Bengaluru, India Master of Science - Advanced Mechanical Engineering
Artificial IntelligenceData AnalysisAutomationCondition MonitoringData VisualizationForecastingPython (Programming Language)Machine LearningNumPyPredictive MaintenancePredictive AnalyticsVisualizationTensorflowRisk-Based InspectionSQL DatabasesStatisticsTableau (Software)Technical DocumentationTime SeriesWorkflowsReinforcement LearningSchedulingData ProcessingMetricsPytorchDeep LearningPandasScikit Learn
Deep Learning
Deep Learning expertise with CNNs, BiLSTM, and CNN-LSTM architectures for time-series forecasting and predictive maintenance applications.
Python Programming
Python programming with NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch for data processing, model development, and automation.
Data Visualization & Analysis
Data visualization and analysis using Tableau dashboards and SQL for tracking KPIs, system performance, and engineering documentation.
Probabilistic Modeling
Probabilistic modeling techniques for RUL prediction, predictive maintenance, and risk-based inspection applications.
Model Evaluation
Model evaluation methodologies using RMSE, MAE, ROC metrics for reliability benchmarking and performance assessment.
Time-Series Forecasting
Time-series forecasting for predictive maintenance and condition monitoring of industrial systems.
Reinforcement Learning
Reinforcement learning applications for optimizing predictive maintenance scheduling and process workflows.
Deep Learning expertise with CNNs, BiLSTM, and CNN-LSTM architectures for time-series forecasting and predictive maintenance applications.
Python Programming
Python programming with NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch for data processing, model development, and automation.
Data Visualization & Analysis
Data visualization and analysis using Tableau dashboards and SQL for tracking KPIs, system performance, and engineering documentation.
Probabilistic Modeling
Probabilistic modeling techniques for RUL prediction, predictive maintenance, and risk-based inspection applications.
Model Evaluation
Model evaluation methodologies using RMSE, MAE, ROC metrics for reliability benchmarking and performance assessment.
Time-Series Forecasting
Time-series forecasting for predictive maintenance and condition monitoring of industrial systems.
Reinforcement Learning
Reinforcement learning applications for optimizing predictive maintenance scheduling and process workflows.
Languages
EnglishNative speaker
Project history
Designed deep learning pipelines for RUL forecasting of turbofan engines, applied reinforcement learning for predictive maintenance, and improved AI diagnostics by integrating ML predictions with FEA-based analysis.
Developed Python automation scripts reducing documentation errors by 25%, built data preprocessing pipelines, designed predictive models for infrastructure projects, and integrated IoT data streams for predictive maintenance.
Designed deep learning pipelines for RUL forecasting of turbofan engines, applied reinforcement learning for maintenance scheduling, and processed time-series data using Python libraries.
Certificates
SQL for Data Science
Data Camp2024
Applied Data Science & AI
IBM2024
Deep Learning Specialization (TensorFlow / PyTorch)
Coursera2023
Machine Learning with Python
Coursera2022