IIT, IBM and Boeing Certified Engineer with over 10+ years of rich and versatile experience, who loves story telling and connected it to say through the data, in the last 5+ years I was continuously challenged by Data Mi…
IIT, IBM and Boeing Certified Engineer with over 10+ years of rich and versatile experience, who loves story telling and connected it to say through the data, in the last 5+ years I was continuously challenged by Data Mining and Machine learning projects which delivered successfully and my current adventure is going on AI. I believe in a brick by brick process to construct anything till massive by using Data science, Machine learning, computer vision and AI to builda great data science products thatserves people and nature.
As a Data Scientist i deal with data preprocessing, EDA, modelling and prediction, computer vision using satellite images, and oil&gas related projects, and several other experience that i have in data science in similar projects
Based on meteorology data and large size satellite images
Built a model that enables detection of methane gas in the atmosphere generated by oil and gas industries
Research and development based on different types of satellites and methods
Built several models that enables detection of several crops in the states of USA
Performed sugarcane, soyabean and corn crops data analysis
Large size satellite image data processing
NDVI calculation
Mapping
Prediction and reprojection of tiles
Research and development on different types of satellites and methods
Optimization of trading refined products globally
Applied machine learning methods to predict failures of target systems based on business need, system complexity, data availability and technology evolution
Tested and modelled on 132 flights
Segregated behavior of healthy and faulty events using QAR data
Diagnostics and prognostics
Data cleaning
Exploratory data analysis for feature selections
Applied machine learning methods to predict cycles
Preventive action measurement
Created dashboards using Tableau to identify parts failing frequently
Performed data cleaning using data wrangling techniques, Python, NumPy and Pandas
Created dashboards in Tableau
Built a classification model to predict chassis part failures
Used ensemble methods to achieve the best results
Analyzed the data in Tableau
Predicted spare parts sales of service centers
Identified important features by using correlation methods
Developed a regression model to predict spare parts sales
Used Random Forest Regressor with grid search to achieve the best results
Analyzed the current sales and predicted sales in Tableau
Worked on engineering structured designed parts to reduce their weight on the aircraft
Understanding the live project requirements and modifying models for the projects using Python
Generating aerodynamic flight data through programmed instrument in the prototype and analyzing the data for the required outputs
Showing the results of the data via plots and graphs to the clients using Matplotlib
Performed mathematical calculations while collecting and processing the data
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