Data Scientist Resume Kansas City, KS - Hire IT People

SUMMARY:

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

EXPERTISE IN:

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

TECHNICAL SKILLS:

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

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, Kansas City, KS

Responsibilities:

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

Responsibilities:

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

Responsibilities:

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

Responsibilities:

Worked on vehicle health management (IVHM) system for Confidential
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

Confidential

Responsibilities:

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

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Data Scientist Resume

Kansas City, KS

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