rschifini
Ricardo Schifini Gladchtein
Data Science Leader at Supervielle Seguros
Buenos Aires, Argentina
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605.4
CodersRank Rank
Top 3%
Based on:
Stackoverflow 389 events
Top 1
R
R
Developer
Argentina
Highest experience points: 0 points,

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List your work history, including any contracts or internships
Supervielle Seguros
Aug 2020 - Present (2 years)
Buenos Aires, Argentina Current workspace
Currently Ricardo Schifini Gladchtein supports the Supervielle Seguros

Ricardo Schifini Gladchtein's scores will be added to this company.

Data Science Leader
Lead a small team of data scientists, grow and maintain the company’s data warehouse, model client churn and help create retention strategies, classify claims as suspicious behavior for fraud detection, segment clients to improve cross selling of products.
machine learning powerbi data science jupyter notebook sklearn data analysis data visualization r python3 pandas
Acamica
Mar 2019 - Dec 2019 (9 months)
Buenos Aires, Argentina
Teacher
Taught two courses of Data Science. Began with an introduction to Python’s pandas, numpy, seaborn and matplotlib. And ended with machine learning methods like: Regression, KNN, NLP, NN, Deep NN, Random Forest,
SVM, Bagging, Boosting, PCA, SVD, and others.
pandas machine learning data science python r data visualization numpy matplotlib tensorflow
Inteligentia
Aug 2015 - Jul 2020 (4 years 11 months)
Buenos Aires, Argentina
Leading Consultant
Worked on data science and analytics projects for oil & gas clients (Petrobras, Pan American Energy, Vista), health insurance (Osde), agrochemical (Monsanto), beverage (Coca Cola) and several others.
Created ETL, data analysis, machine learning models to solve our clients needs. Also created several dashboards with Spotfire.
r Spotfire machine learning data analysis data visualization data analytics data science

This section lets you add any degrees or diplomas you have earned.
Universidad de Buenos Aires
Master, Physics
Feb 1987 - Nov 1996
Pontifícia Universidade Católica do Rio de Janeiro
PhD, Physics
Feb 1998 - Feb 2002
Thesis: Non-destructive testing - Solution of the inverse problem of magnetic flux-leakage inspection

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