Amod K Shirke Email & Phone Number

• Primarily involved in showcasing customer trends, kpi metrics and making pareto charts (80:20) rule, heat maps etc for identifying bottlenecks.• Creating analytics business reports and interactive dashboards,visualizations using Power Bi & Power View for giving valuable insights to top management executives for data driven decision making etc.• Implementing AI visualizations (Smart Highlights, Decision Trees, Key Influencers etc) for enhanced data storytelling and deeper insights for C-suite.• Using Power BI for creating thermometer charts for optimized visualizations showing (actual vs target) statistics, and showing different color gradients for enhanced performance measurement & improvement etc.• Forecasting metrics by using techniques (Exponential Smoothening, Linear Regression, Moving Averages etc) based on historical trends for resource optimization and continuous improvement.• Performing swot analysis, market research, benchmarking for gaining deeper insights for implementing desired business strategy.• Agile,Scrum implementation in projects using (Gantt chart, Project burn down, Resource allocation etc) charts for performance tracking and meeting the project schedule deadlines for improved productivity and efficiency.• Managing & training team of associates on data, business analytics, forecasting techniques, agile and project management principles, continuous improvement, predictive analytics, presentation & interpersonal skills.

Bengaluru, Karnataka, India

• Primarily involved in the Airbus Aircraft type (A320, A320 neo, A321, A350) project dataset analysis using, Microsoft Power BI and Tableau for interactive data visualizations and dashboarding.• Using Power BI and integrating it with R statistical language for conducting time series analysis for forecasting customer demand based on the historical data provided and using time series decomposition for getting current trends, seasonality index, randomness etc.• Conducting sensor data analysis for aircraft engine (Rolls Royce, G.E, Pratt & Whitney) for efficient predictive maintenance in order to detect, prevent future engine component failures in advance.• Using Microsoft Project 2016 for implementing Scrum, Agile methodologies for the Airbus project, thus dividing the the 3 month long projects into bi-weekly sprints for considering the project feedback from the team and assigning priorities to each task for possible risk mitigations etc.• Using control charts, histograms, box plots, scatter plots for displaying the sensor data for outlier detection in order to optimize the aircraft maintenance process.• Conducting aircraft sales analysis using Rshiny for plotting heat maps (aircraft categorization) based on global geographical locations for strategy development.

Master Of Science - Ms, Industrial Engineering

Bachelor Of Engineering - Be, Mechanical Engineering, A