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*:I’m very familiar with Python and R, the two most common languages for statisticians. I have also some experience in Java and PHP.
 
*:I’m very familiar with Python and R, the two most common languages for statisticians. I have also some experience in Java and PHP.
 
* Please describe your experience with being in a development team.
 
* Please describe your experience with being in a development team.
*:I worked in a tech startup and I had to collaborate with other 5 developers who have different academic profiles and different skills . We have structured the code from scratch and the process can be likened to a package development.
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*:I’m currently working in a tech startup and I have to collaborate with other 5 developers who have different academic profiles and different skills . We have structured the code from scratch and the process can be likened to a package development.
 
* Please describe the biggest project you have written code for and what you learned by doing so. Also describe your role in that project over time.
 
* Please describe the biggest project you have written code for and what you learned by doing so. Also describe your role in that project over time.
 
*:# '''Octave''': When I was at INRIA in France, I implemented a Godunov’s scheme to resolve stochastic conservation laws in modeling highway traffic. I started with the implementation of a deterministic method, fitting the parameters from real data gathered from a gps company. In this phase I learned to deal with data input and storage problems. In the second part of the project I modeled a stochastic version of the method with an optimized multidimensional Monte-Carlo approach, which gave me some expertise about computational optimization.
 
*:# '''Octave''': When I was at INRIA in France, I implemented a Godunov’s scheme to resolve stochastic conservation laws in modeling highway traffic. I started with the implementation of a deterministic method, fitting the parameters from real data gathered from a gps company. In this phase I learned to deal with data input and storage problems. In the second part of the project I modeled a stochastic version of the method with an optimized multidimensional Monte-Carlo approach, which gave me some expertise about computational optimization.

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