Python
Data Scientist familiar with gathering, cleaning and organizing data for data exploration, analysis, feature engineering, and modeling. Advanced understanding of statistical, algebraic and other analytical and ML techniques. Highly organized, motivated and diligent with significant experience in data visualization, random forest categorization and time series forecasting.
Data Science, Data Visualization, Random Forest Categorization, Time Series Forecasting, Regression
undefinedPython
C, IDL, MATLAB/Octave, Mathematica, BASH
R
AWS Cloud Practitioner - CLF-C01 (LA), A CLOUD GURU (17.7 Hrs of Content), VERIFY.ACLOUD.GURU/CC4F5367FFF7
National Academies of Science Kavli Fellow
Issued by National Academy of Science · Mar 2019
Title I Distinguished Graduate Award
U.S. and Massachusetts Department of Education · June 2001
Refereed Publications
6. r-Process Nucleosynthesis: Connecting Rare-Isotope Beam Facilities with the Cosmos.
Horowitz, C. J.; Arcones, A.; Côté, B.; Dillmann, I.; Nazarewicz, W.; Roederer, I. U.; Schatz, H.; Aprahamian, A.; Atanasov, D.; Bauswein, A.; Bliss, J.; Brodeur, M.; Clark, J. A.; Frebel, A.; Foucart, F.; Hansen, C. J.; Just, O.; Kankainen, A.; McLaughlin, G. C.; Kelly, J. M.; Liddick, S. N.; Lee, D. M.; Lippuner, J.; Martin, D.; Mendoza-Temis, J.; Metzger, B. D.; Mumpower, M. R.; Perdikakis, G.; Pereira, J.; O'Shea, B. W.; Reifarth, R.; Rogers, A. M.; Siegel, D. M.; Spyrou, A.; Surman, R.; Tang, X.; Uesaka, T.; Wang, M., Journal of Physics G: Nuclear and Particle Physics, 46, 8 (2019)
5. Reconstructing The Accretion History Of The Galactic Stellar Halo From Chemical Abundance Ratio Distributions.
Lee, D. M., Johnston, K. V., Sen, B. & Jessop, W., ApJ, 802, 48 (2015)
4. A Mass-Dependent Yield Origin of Neutron-Capture Element Abundance Distributions in Ultra-Faint Dwarfs.
Lee, D. M., Johnston, K. V., Tumlinson, J., Sen, B. & Simon, J. D., ApJ, 774, 103 (2013)
3. Hot and Cold Galactic Gas in the NGC 2563 Galaxy Group.
Rasmussen, J., Bai, X., Mulchaey, J. S., van Gorkom, J. H., Jeltema, T. E., Zabludoff, A. I., Wilcots, E., Martini, P., Lee, D., Roberts, T. P., ApJ, 747, 1, 31 (2012)
2. Measuring Transverse Motions for Nearby Galaxy Clusters.
Hamden, E. T., Simpson, C. M., Johnston, K. V., & Lee, D. M., ApJL, 716, 2 (2010)
1. The Coincidence of Nuclear Star Clusters and Active Galactic Nuclei.
Seth, A., Agüeros, M., Lee, D. & Basu-Zych, A., ApJ, 678, 1 (2008)
Other Publications
5. Understanding the Nature of Chemical Abundance Ratio Distributions in Nearby Stellar Systems.
Lee, Duane M., Ph.D Thesis — Columbia U. (2014)
4. Rooftop Variables: Connecting New York City Astronomers with Public School Teachers.
Hamden, Erika T., Agueros, M., Corrales, L., Hilton, E., Hummels, C., Lee, D., Pereira, M., Saul, D., Zimmerman, N., Dubner, J. (2010)
3. Investigation of Environmental Influence on Galaxian Activity Using KISS and SDSS.
Lee, Duane M., M.A. Thesis — Wesleyan U. (2006)
2. Quantifying Entanglement.
Lee, Duane M., B.A. Honors Thesis — Williams College (2001)
1. The Long KISS Survey for High Redshift Emission-Line Galaxies.
Lee, D. M., KECK Northeast Astronomy Consortium Conference Proceedings (1999)
AWS Cloud Practitioner - CLF-C01 (LA), A CLOUD GURU (17.7 Hrs of Content), VERIFY.ACLOUD.GURU/CC4F5367FFF7
Convolutional Neural Networks - Coursera, Credential ID V53JN7BMTHVW
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - Coursera, Credential ID MAQXKTEWKCSY
Structuring Machine Learning Projects - Coursera, Credential ID Z2GVLMSACHLQ
Neural Networks and Deep Learning - Coursera, Credential ID BALCQ4FRNRZ7
DataRobot Essentials - DataRobot, Credential ID 52110408
Machine Learning - Coursera Course Certificates, Credential ID U2UNMNKDG549