My Resume

Expedia Group

Machine Learning Scientist at Expedia, in the data science and revenue optimization team (for Expedia partner Solutions). I’m working on Machine Learning models for price optimization and market demand. I developed the model's framework in Scala and python, mostly based on was.
I developed an anomaly detection system, in python, based on time series in order to promptly detect errors or critical changes in the transactions (avoiding losing hundreds of thousands per day of an issue).
I also created some business and model insights on tableau and python to follow up on the models results, with relevant teams.

At CERN

I worked at the FLUKA simulation group at CERN/STI-BMI. I was involved in fixed targets development, with physics optimization of the targets design and perform radiation to electronics (R2E), doses, energy deposition calculations, and damage to materials. I worked on the following projects:

• AD (Antiproton Decelerator) target: I was responsible to perform physics simulations for the new target design optimization, increasing the anti-proton flux coming from the complex (target plus hornet and magnets). The target will be installed during the LS2 (long shutdown 2). Energy deposition calculations were also performed since the new design has to survive the high energy beam power. Different target shapes and materials were tested for optimizing the target keeping in mind the target durability. I also perform dose and R2E calculations for equipment and shielding in the AD area.
  
  
• n_TOF (Neutron Time Of Flight) target: In this working group I performed the physics calculations for the energy deposition, R2E, doses as well as the neutron flux produced by the target. The purpose was to optimize the new target design, to be installed in the LS2 (long shutdown 2). It should be able to deliver the highest neutron flux possible while keeping a good mechanical behavior in operation.  
  
  
• BDF (Beam dump facility) target: This will be the target for SHIP experiment. I perform energy deposition, R2E, and dose calculations for the target and galleries around the target, for the design report of the facility.
  
  
• SHIP: I was working with the SHIPtau group (an extension of the SHIP experiment) to be approved. Based on the particle interactions simulations we determined the levels of background particles and dose levels to study the feasibility of the implementation of the detectors.
  
  
• GBAR linac: I did some studies of R2E, doses and residual does for possible shielding options in the GBAR linac, to protect the coils and other equipment.
  
  
• ISOLDE: I was doing radiation to electronics calculation implementing new shielding for equipment and test the possibility to use the beam remnants for other experiments.
  
  
• HiRadMat test: I performed R2E, doses, and residual dose calculations for the HiRadMat tests of possible n_TOF, BDF, AD targets. I also simulated the DPA (displacement per atoms) and gas productions inside the final and tested targets. To subsequently have a better idea about the damage that the materials would suffer in operation. 
  

I was involved in the development of a fast code to simulate muons in High energy cosmic ray cascades. We were able to change some physics parameters to understand the Pierre Auger data. 
Results in ultra-high-energy cosmic rays showed that the LHC 2015 tuned hadronic models couldn't be described consistently, at the same time, the electromagnetic and muonic component of an extensive air shower. It was considered that the problem came from the muon sector. So I changed the muon characteristics such as the energy production, transverse momentum, and directions to find out correlations between physical effects and differences in the data.
I was also involved in the Auger data analysis for the recovery of the number of muons.