Luca Massimo

Data Scientist

Remote from Madrid

  • 40.4167
  • -3.7036
  • Indicative rate €400 / day
  • Experience 7+ years
Propose a project The project will only begin when you accept Luca's quote.

Availability not confirmed

Part time, Evenings & week-ends

Propose a project The project will only begin when you accept Luca's quote.

Location and geographical scope

Location
Madrid, España
Remote only
Works remotely most of the time

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Verifications

Languages

  • Inglés

    Full professional proficiency

  • Italiano

    Native or bilingual

  • Español

    Limited working proficiency

Skills (16)

Luca in a few words

Luca Puggini is a dynamic person and a fast learner with a strong interest in quantitative and computational subjects. He has a deep knowledge of machine learning, artificial intelligence, mathematics and statistics and a wide experience in computational intelligence techniques applied to large datasets. He is also passionate about programming, and experienced in several programming languages. In particular he has an advanced knowledge of Python and its numerical libraries (tensorflow, sklearn, numpy, scipy, pandas, statsmodels) and a working knowledge of R, Scala, C and Matlab.

Experience

Corvil / Pico Trading

High Tech

Data Scientist

Madrid, España

October 2016 - Today

Development of algorithmic solutions to monitor network efficiency in high frequency trading platforms.
Main achievements:

Development algorithms for anomaly detection (distribution agnostic) in time series at scale
(monitoring up to 50k metrics).

Analysis of diagnostics data for common product root cause detection (customer support)

Development of pipelines for high volume data collection.

Intel

High Tech

Data Scientist (Visiting Researcher)

Dublin City pre 1849, Irlanda

December 2013 - September 2016

Researcher in the Data Analytics department at Intel. Development of systems for efficient real time
data analysis in a semiconductor manufacturing contest.

Main achievements:

Development of anomaly detection systems for wafer processing.

Predictive model for high dimensional Optical Emission Spectroscopy data.

Unsupervised features selection algorithm for robust and interpretable dimensionality reduction.

Peak calibration system through the use of genetic algorithms

Google

High Tech

Developer (Student Developer)

Dublín, Irlanda

May 2015 - August 2015

Funded by Google as part of the GSoC 2015 project to develop a Generalized Additive Models toolbox
for the python statsmodels library. The project was under the supervision of Josef Perktold from McGill
University. The code and the library are available at
https://github.com/statsmodels/statsmodels.

Achievements:
- Development of a GAM toolbox for python. A contributions of around 2300 lines of python code.

Bergen University

Medical field

Statistician 20%

Bergen, Noruega

January 2014 - November 2016

Statistician as part of the project: "Menopause and respiratory health: The role of sex hormones,
life-style factors and hormone therapy" founded by the Norwegian Research Council. Analysis are
carried on a large medical dataset collected during the last 20 years
(http://www.rhine.nu/index.htm).

Main achievements:
- Development of new techniques to estimate the importance of risk factor in a classification problem.
- Development of a statistical test to separate the effect of correlated input variables in a classification
problem

Statistics for Innovation

High Tech

Computational Statistician (Internship)

Oslo, Noruega

February 2013 - July 2013

Development of new computational techniques to solve high dimensional data problem in relation to
genetic data.

Main achievements:
- Development of a new algorithm to perform robust features selection in high dimensional data
scenario

Niall Moran - ICHEC

11/29/2019

I worked with Luca on the data science team at Corvil. He is a very skilled programmer and experienced with mathematics, machine learning and data science methodologies. Luca also has an ability to come up with creative solutions to problems.

Gregorio Palmas - Datalogic S.R.L.

11/29/2019

He is very good in programming and complex problem solving.

Education

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