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Data Scientist Resume

Kansas City, KS


  • An innovative AI and ML data scientist working on developing various deep learning models, Aligning business growth through predictive and cognitive analytics. I am passionate about providing data - driven, action-oriented solutions to challenging business problems
  • Machine Learning and Deep Learning
  • Predictive Modelling
  • Statistical Data Analysis
  • Signal Processing Methods
  • Sensor Network optimization
  • Damage classification
  • Data and Quantitative analysis
  • Condition Based Monitoring


Data Scientist

Confidential, Kansas City, KS

  • Developing AI/ML models for stock market prediction
  • Experimenting on condition monitoring of machines using IoT sensor data
  • Predicting sentiment, cognitive analysis for various types of data feeds
  • Prototyping help-desk ticket prediction model for estimating the time to complete each ticket
  • Experimenting the facial recognition as an identity card through deep learning convolution model

Senior Engineer

Confidential, Mountain View, CA

  • Developed touch interface technology for appliances
  • Optimized Machine Learning (ML) based classifier for touch localization
  • Carried out physics based acoustic simulations for data modelling
  • Optimized sensitivity of sensor through simulations resulting in an overall improvement to the system
  • Developed Ear phone and Soundbar speaker simulation models

Lead Algorithm Developer

Confidential, Sunnyvale CA

  • Helped to win the cumulative $5M worth of contracts for developing and testing an end to end products for various aviation businesses
  • Lead algorithm development team of five
  • Developed physics-based and pattern recognition-based techniques
  • Developed algorithmic models for damage detection, and predictive health check of ariframe structures
  • Experience building deep NN models for image classification, object detection and semantic segmentation

Post-Doctoral Scientist

Confidential, Stanford, CA

  • Worked on vehicle health management (IVHM) system for NASA
  • Developed condition indicators for damage prognostics
  • Developed data fusion technique to improve detection sensitivity
  • Standard ML models such as regression,classification, time series models, clustering, dimension reduction

Project Officer


  • Burn rate measurement using ultrasonic techniques
  • Damage diagnostics using Synthetic Aperture Focusing Technique
  • Developed techniques to reconstruct mechanical properties
  • Developed an innovative inversion technique for material characterization
  • Developed a novel self-calibrating network for an in-situ damage diagnostic


AI/ML Programming Languages: MATLAB, Python, R, Numpy, Pandas, SciPy, Scikit-learn, TensorFlow, Keras, LabVIEW, MySQL, Qlik, Tableau, Octave, C, MongoDB, PostgreSQL, Kubernetes, Dockers, Seldon, Kubeflow, PyCharm, PyTorch

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