04/23/2024 updated

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Data Scientist, University Professor, Research Scientist

Buenos Aires, Argentina
Only remote
PhD Astrophysics, Master Data Science
Buenos Aires, Argentina
Only remote
PhD Astrophysics, Master Data Science

Profile attachments

CV - Pablo Sotomayor

Artificial IntelligenceAmazon Web ServicesBash ShellBig DataC++ (Programming Language)Cloud ComputingComputer ProgrammingInformation Technology ConsultingLinuxFortran (Programming Language)GitHubApache HadoopData IntelligencePython (Programming Language)Linear ProgrammingMachine LearningNumPyOctaveTensorFlowSciPySQL DatabasesSalesforce TableauPyTorchApache SparkNumerical ComputingKerasMatplotlibPySparkPlotly
AWS, Hadoop, Spark, artificial intelligence, Bash, Big Data, C++, Cloud Computing, programming, Data Intelligence, Fortran, GitHub, IT Consulting, Keras, Linear programming, GNU/Linux, machine learning, Matplotlib, NumPy, Numerical Computing, Octave, Plotly, PySpark, Python, PyTorch, SQL, SciPy, Tableau, TensorFlow

Experience

Professional experience5 - 10 years
Freelancer since2022

Languages

EnglishGoodSpanishNative speaker

Project history

Data Scientist

Generali

Insurance

>10.000 team member

Forecasting, Financial Data Scientist, Machine Learning Engineer

University Professor

Forecast of car insurance policies 2024
Project carried out for an internal management of the company
The goal was to predict the number of new car insurance policies for the next 6 months in digital channels
(Internet and WhatsApp), distinguishing between end-to-end and assisted processes. Statistical SARIMAX
and artificial intelligence models were implemented.

University Professor

Project carried out for a motorcycle spare parts distribution company in Mexico
The objective was to predict the demand for their products within a window from 1 to 12 months. We achieved
a success metric of 83%.

University Professor

Project carried out for a cement company in Peru
The objective was to generate a logistics plan that optimizes the daily needs of the organization. Linear programming
and mathematical optimization techniques were used.

University Professor

Consumption prediction
Project carried out for a multinational satellite internet company
The goal was to predict the type of consumption of potential customers using responses from a survey conducted
during service application.

University Professor

Default prediction
Project carried out for a national health insurance company
The goal was to predict which clients will not pay the service fee in the next two months. We managed to
identify 80% of defaulting clients.

Data Scientist

RockingData
* Development and maintenance of machine learning models in AWS cloud.
* Development of mathematical optimization models (linear and nonlinear programming).
* Writing internal documentation for team training in the use of Python statistics and optimization libraries.

Research Scientist

National Council for Scientific and Technical Research; Buenos Aires, ARG
* Thirteen articles published in international and national refereed journals.
* Participation in four international schools with scientific contributions presented as talks and/or posters.
* Training of human resources.

Certificates

AWS Partner: Accreditation (Technical)

Amazon Web Services

2023


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