Data Scientist Resume Long Beach, CA - Hire IT People

SUMMARY:

Detail - driven data scientist with an extensive background in the interpretation, modeling and analysis of complex datasets. Well-versed in a wide range of data science and machine learning techniques. Skilled in the use of mathematical and statistical methods to extract information from data. Proficient in the design and implementation of algorithms in Python.

AREAS OF EXPERTISE:

Machine Learning
Neural Networks
Deep Learning
Statistics
Time Series Analysis
Bayesian Modeling
Digital Image Processing
Digital Signal Processing
Software Development

PROFESSIONAL EXPERIENCE:

Confidential, Long Beach, CA

Data Scientist

Explore and contribute via consulting to the data science universe and its community
International Fellow
Writer, Towards Data Science
Review Panelist, Google AI Challenge, DataKind
Mentor for Deep Learning Specialization
Course Beta Tester

Confidential, Mountain View, CA

Data Scientist

Member of team that created Confidential Occurrence Rate Data Products
Led modeling and analysis of synthetic flux level transit injection experiments
Devised and implemented an algorithm that effectively applied k-Nearest Neighbors (kNN) to estimate (for each Confidential target star) the exoplanet detection efficiency as a function of signal-to-noise ratio
Created, implemented, and documented software algorithms for Confidential 's Data Processing Pipeline in MATLAB under SVN (Subversion) version control, including:
Wavelet-Based Denoiser for the Presearch Data Conditioning (PDC) module
Ghost Diagnostic Test and an Ephemeris-Matching code for the Data Validation (DV) module
Thruster Firing Events Detector using engineering data for the Photometric Analysis (PA) module

Confidential, Pasadena, CA

Project Staff Scientist

SIM Planet Finding Capability Study team
In a double-blind test commissioned by Confidential, we successfully demonstrated SIM’s ability to detect Earth-mass planets in habitable zones of nearby solar-type stars, enabling the mission to advance toward consideration for launch by Confidential
Spearheaded Confidential team 's analysis and modeling of synthetic astrometric and RV data sets
Coordinated consensus on orbit solutions among the five analysis teams
Devised and published a novel algorithm to hierarchically detect exoplanets and characterize their orbits from combined astrometric and radial velocity (RV) data sets
Developed algorithms to characterize wavefront and line-of-sight jitter for a segmented, actively controlled telescope, from metrology data
Performed and presented analysis demonstrating that AMD successfully met customer requirements

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Data Scientist Resume

Long Beach, CA

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