Jeffrey C.

Data Scientist

460 dollar
Freelancer
18 ans
Los Angeles, ÉTATS-UNIS

Mon expérience

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Insight Data ScienceJanuary 2020 - Présent

Developed for Dost Education a Hindi-voicemail model to identify valuable voicemails and speaker demographics.
{ Applied decibel and audio-pitch analysis to remove sections of only silence or background noise from voicemails.
{ Characterized and engineered voice-pitch features from each voicemail with Python programs.
{ Applied a MLP to identify valid voicemails, speaker’s gender, and the highest-quality voicemails, which are then prepped
and fed to Google Speech API to transcribe/translate into Hindi/English, cutting manual voicemail work by > 80%. 
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Johns Hopkins UniversityAugust 2013 - December 2019

Led a project that improved our understanding of rotation, convection, and mass loss in stars.
{ Automated and improved star-cluster age analysis through weighted fits of models to observations using my C programs.
{ Used Python’s HDBSCAN clustering algorithm to efficiently identify star clusters and a star’s membership probability.
This used 5 features acquired using either API or SQL calls to a 550 GB database. [GitHub]
{ Applied Monte-Carlo simulations to discover novel ways to directly observe the effects of a star’s rotation and convection.
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Universidad de ConcepciónSeptember 2011 - July 2013

Led the development of data analysis techniques to detect and synthesize patterns in star-cluster data.
{ Increased this project’s observational efficiency by a factor of 4 by developing and validating new techniques.
{ Connected photometric and spectroscopic star-cluster features into a unified model using my synthesis techniques. 
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Indiana University BloomingtonSeptember 2003 - August 2011

Led a project that improved our understanding of the evolution of element abundances in our Galaxy.
{ Improved accuracy and efficiency of spectroscopic iron abundance analysis of stars with my programs in C.
{ Statistically analyzed 2D and 3D observational correlations to better understand complicated stellar parameters. 

Mes compétences

Machine Learning

Clustering, Keras, Regression, Scikit-Learn

Others

Leadership, RNN, Algorithms

Languages

Python 3.5, SQL, Bash scripting, Fortran, C, Java, LaTeX

Technologies

Matplotlib, NumPy, Pandas, Machine Learning

Big Data

Data Visualization

Databases

MySQL

Other

Signal Processing, EXCEL

IT Infrastructure

Linux, OS X

Mes études et formations

Ph.D. - Astronomy - Indiana University2011

Bachelors of Science - Physics and Astronomy - University of Rochester1999 - 2003