Senior Data Scientist Resume

TECHNICAL SKILLS

Programming: C/C++/C#, Python, Perl, Go/GoLang, Scala, and Visual Basic

Machine Learning: Regression, Clustering, SVM, Data Mining, and Deep Learning

Algorithm Development: Python, Matlab, R/S - plus, Perl, and C/C++/C#

Bioinformatics, Statistical Analysis, and Data Modeling: Python, Perl, Matlab and R

DSP and Image Analysis/Computer Vision: Matlab, OpenCV, Image-Pro and Metamorph

Windows Programming: Visual C++/C#, Visual Basic, MFC and .NET

Web Database Development: C#/LINQ, SQL Server, Access, VB and Crystal Report

PROFESSIONAL EXPERIENCE

Confidential

Senior Data Scientist

Responsibilities:

Implemented Recommender System for Confidential Cloud services with Collective Filtering and Clustering methods. Also enhanced the performance with multiprocessing in python
Developed Time Series prediction modules for Confidential Cloud Advisor service with the ARIMA and LSTM methods
Conducted research and proposed project ideas in Machine Learning, Blockchain and Hashraph technologies

Confidential

Staff Data Scientist

Responsibilities:

Conducted Algorithm and Software Development in Python, R, Matlab, and C++.
Developed new prediction methods with many of the algorithms in scikit-learn, TensorFlow, and Keras. Including LogisticRegression, GradientBoostingRegressor, RandomForestClassifier, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Neural Networks (DNN)
Applied Machine Learning to the BaseCaller and Quality Score Prediction.
Developed software for Quality Score Prediction with 6 predictors. Optimized and improved the prediction precision by 50 times and the speed by 100 times.
Performed image processing with the scikit-image library functions.
Developed software to support the Non-Invasive Prenatal Testing (NIPT) application.
Developed genetic optimization, heuristic search, minimax, and other algorithms to optimize 40 parameters in the signal processing model.
Wrote Python, Go, Perl and Linux shell scripts to streamline the data analysis, algorithm development, and model optimization workflows.

Confidential

Senior Data Scientist and Platform Manager

Responsibilities:

Developed Image Analysis software for SAR (Synthetic Aperture Radar) and FISH (Fluorescent In-Situ Hybridization) applications.
Implemented software to detect underground pipelines and render to Google Earth in Matlab.
Performed image registration and latitude/longitude conversion in Matlab, Perl and C++.
Developed Sensor Adapter and Plume Modeling software for the Sensor Policy Manager (SPM) product to predict plume location and publish to XML and KML formats in C++.
Implemented Maximum Likelihood (ML) and Expectation-Maximization (EM) algorithms to detect weak signals for a gas detector.

Confidential

Principal Data Scientist and Technology Development Manager

Responsibilities:

Developed Time Series Analysis software to handle Pulse and ECG waveforms in Matlab and C#.NET for the TeleCare Project.
Implemented SVM classification software in Matlab and R to analyze biomedical data.
Developed image analysis software in C++ and microRNA Prediction algorithms in Perl.
Performed Survival Analysis on Cardiovascular Disease data in R and Perl. Developed Cox Regression (Proportional Hazards Regression), Logistic Regression, and SVM methods for a Survival Analysis software.