Leading the team to perform Industrial AI for HVAC customer.Coordinating with Customer SME and project teams to enhance the understanding of the sensor data.Exploratory Data analytics carried out such as box plots, violin plots, pie charts for deep insights of data.Autoencoder based deterioration score is generated for estimating the health of equipment and sub systems. Word cloud is generated in the text data to identify the critical issues of the equipment.Developed time… Show more Leading the team to perform Industrial AI for HVAC customer.Coordinating with Customer SME and project teams to enhance the understanding of the sensor data.Exploratory Data analytics carried out such as box plots, violin plots, pie charts for deep insights of data.Autoencoder based deterioration score is generated for estimating the health of equipment and sub systems. Word cloud is generated in the text data to identify the critical issues of the equipment.Developed time to fail model using time series forecasting models.NLP: Named Entity Recognition using miniLM-L6-V2stack: AWS s3, AWS sagemaker, Python, sklearn, fb prophet Show less

Lead multiple scrum teams, product owners. to effectively implement ML solutions to improve the business.Facilitated innovation workshops to brainstorm the ML/AI usecases.Leading the teams to sprint review, improving velocity charts, creation of backlog stories with scrum masters.Engine DTC analytics using association mining rules.Battery Lie prediction: The data science solution indicates the remaining useful life of the equipment and improves the customer expeirence and… Show more Lead multiple scrum teams, product owners. to effectively implement ML solutions to improve the business.Facilitated innovation workshops to brainstorm the ML/AI usecases.Leading the teams to sprint review, improving velocity charts, creation of backlog stories with scrum masters.Engine DTC analytics using association mining rules.Battery Lie prediction: The data science solution indicates the remaining useful life of the equipment and improves the customer expeirence and reduces down time. Show less

I successfully led the development of an IoT data platform and machine learning models for one of the largest rental companies in the USA as part of an RFP process. I pitched the project to senior leadership, including the C-suite, and showcased solutions that were key in securing a multi-year, multi-million-dollar contract focused on digital transformation.I translated customer requirements and business challenges into effective technical solutions. Additionally, I established a team… Show more I successfully led the development of an IoT data platform and machine learning models for one of the largest rental companies in the USA as part of an RFP process. I pitched the project to senior leadership, including the C-suite, and showcased solutions that were key in securing a multi-year, multi-million-dollar contract focused on digital transformation.I translated customer requirements and business challenges into effective technical solutions. Additionally, I established a team of data engineers, analysts, and data scientists, providing coaching and mentorship to junior engineers to enhance their skills and adopt agile methodologies.I successfully lead the data science team in implementing the power plant optimization for one of the customer using MARS regression model and swarm particle optimization.As part of a rapid innovation workshop at TCS, I led the data science team in developing latent diffusion models that enable dynamic image background changes based on regional preferences. This innovation enhances digital marketing by allowing product imagery to be tailored for different geographic markets.Multivariate Anomaly Detection: Developed anomaly detection in time series data using both univariate and multivariate methods, integrating physics-based principles with machine learning models to enhance anomaly identification. Deployed models to Azure streaming data pipelines using Azure Functions.Tech Stack: Python, XGBoost, Azure Functions, Azure ML Studio.Data Warehousing: Developed data pipelines from Azure Blob Storage to Snowflake via Snowpipe and designed Snowflake data models using a star schema. Implemented machine learning models, including time series forecasting for sales predictions.Stack: Snowpipe, Snowflake, Snowpark, Python, FB Prophet, Matplotlib Show less

Engine Programs: Trent series-->Mathematical Modeling, Large sparse matrix formulation.-->Eigen value/vector analysis.---> Frequency response analysis.--->Fatigue life calculations. Thermal + Structural Analysis-->Problem formulation in frequency domain, Fourier transform.-->Coordination with cross cultural teams across geographical locations.-->Prepared technical documentation and reports.-->Initiated brain storming sessions to solve… Show more Engine Programs: Trent series-->Mathematical Modeling, Large sparse matrix formulation.-->Eigen value/vector analysis.---> Frequency response analysis.--->Fatigue life calculations. Thermal + Structural Analysis-->Problem formulation in frequency domain, Fourier transform.-->Coordination with cross cultural teams across geographical locations.-->Prepared technical documentation and reports.-->Initiated brain storming sessions to solve project challenges effectively in the stipulated time.-->Developed Excel-VBA script which interfaces with Nastran solver for creating the required elements for finite element model. This eliminates extensive manual operations. Also, improved accuracy and productivity.-->Performed thermal analysis for external cooling systems and turbines.Worked for Rolls-Royce via Quest Global. Show less

Engine Programs: Genx-1, Genx-2, LEAP• Mathematical Modeling, Linear programming, Finite Element Analysis of Aero engine components.• Eigen value and eigen vectors analysis, nonlinear dynamics systems.• Composite R&D on LEAP, GENX engines• Project requirements and scheduling.• Training documents and videos.•. Process automation.Made a pcl script which automatically prepares FE model of complete rotor assembly. This reduced the work time by more than 90%. and it… Show more Engine Programs: Genx-1, Genx-2, LEAP• Mathematical Modeling, Linear programming, Finite Element Analysis of Aero engine components.• Eigen value and eigen vectors analysis, nonlinear dynamics systems.• Composite R&D on LEAP, GENX engines• Project requirements and scheduling.• Training documents and videos.•. Process automation.Made a pcl script which automatically prepares FE model of complete rotor assembly. This reduced the work time by more than 90%. and it became standard across the organization. Show less

Mathematical modeling of automotive components, full vehicle durability, crash, FE modeling and analysis ,nonlinear(contact) analysis.