Welcome to my homepage. I received my Ph.D. in Mathematics on May, 2012 from the University of Notre Dame for research in partial differential equations, and in particular nonlinear evolution equations. I also hold dual degrees in Mathematics and English Literature from UC Berkeley.

I am currently an Insight Fellow at Insight Data Science. While here, I delivered an application to Good Shepherd that isolates the features most responsible for student matriculation into LifeLink, their college access and success program.

Before joining Insight, I was head data scientist at Rudin Management, where my work included designing and implementing ensemble forecasting models in Python using the full SciPy stack. Models used in the forecasting include Random Forests, Gradient Boosted Trees, ARIMA(X), SARIMA(X), and SVM. Work experience is detailed in my resume.

Please feel free to email me at david.karapetyan@gmail.com if you have comments or questions. Thanks for visiting.






Welcome to my homepage. I received my Ph.D. in Mathematics on May, 2012 from the University of Notre Dame for research in partial differential equations, and in particular nonlinear evolution equations. I also hold dual degrees in Mathematics and English Literature from UC Berkeley.

I am currently an Insight Fellow at Insight Data Science. While here, I delivered an application to Good Shepherd that isolates the features most responsible for student matriculation into LifeLink, their college access and success program.

Before joining Insight, I was head data scientist at Rudin Management, where my work included designing and implementing ensemble forecasting models in Python using the full SciPy stack. Models used in the forecasting include Random Forests, Gradient Boosted Trees, ARIMA(X), SARIMA(X), and SVM. Work experience is detailed in my resume.

Please feel free to email me at david.karapetyan@gmail.com if you have comments or questions. Thanks for visiting.





Welcome to my homepage. I received my Ph.D. in Mathematics on May, 2012 from the University of Notre Dame for research in partial differential equations, and in particular nonlinear evolution equations. I also hold dual degrees in Mathematics and English Literature from UC Berkeley.

I am currently an Insight Fellow at Insight Data Science. While here, I delivered an application to Good Shepherd that isolates the features most responsible for student matriculation into LifeLink, their college access and success program.

Before joining Insight, I was head data scientist at Rudin Management, where my work included designing and implementing ensemble forecasting models in Python using the full SciPy stack. Models used in the forecasting include Random Forests, Gradient Boosted Trees, ARIMA(X), SARIMA(X), and SVM. Work experience is detailed in my resume.

Please feel free to email me at david.karapetyan@gmail.com if you have comments or questions. Thanks for visiting.