Portfolio CR .pdf

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Author: Chiara Rampini

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Chiara RAMPINI
Paris 75008
Mobile: +33 781022803
E-mail: chiara.rampini@gmail.com
LinkedIn: https://fr.linkedin.com/in/chiara-rampini

MANAGEMENT ENGINEER | DATA SCIENTIST
TECHNOLOGIES
Knime
Python
SQL
Cassandra
Spark
Coheris Spad
PostgreSql
Mysql
R
QGis/GrassGis
IBM SPSS
SAP PA

KEY COMPETENCES

PROFILE
Management engineer, data scientist with more than two years
experience in data analysis and geomatics

DATA SCIENCE PROJECTS
NOKIA NETWORKS FRANCE & BELL LABS
Data Scientist Project Manager
Text mining and NLP for maintenance tickets analysis
Use of text mining and NLP techniques for raw text cleaning and preparation. Predictive analysis.
Industrialization of a recommendation system in big data environment.
Feb 2017 – Mai 2017
Technical environment: Python, MySQL, Cassandra, Spark

STANLEY SECURITY FRANCE
Data Scientist consultant
Churn analysis
Data collection and preparation. Data enrichment with open data. Geolocation of each store. Churners
profiling and prediction of customer churn probability.
Oct 2016 – Dec 2016
Technical environment: PostgreSQL, Knime, R

OTHER COMPETENCES
✓ Logistique
✓ Supply chain management
✓ Demand forecasting

CERTIFICATIONS
✓ Machine Learning by Stanford
University (Coursera) 2016

COURSES
✓ 2016 Python (Coursera)
✓ 2015 Hadoop (B&D
University)
✓ 2015 R Programming
(Coursera)
✓ 2015 SPSS Modeler (IBM)
✓ 2015 Data Science (EPF)

LANGUAGES

PANZANI
Data Scientist consultant
Study of seasonality of Panzani product for each specific grocery brand
Data collection and preparation. Data enrichment with open data. Geolocation of stores with calculation of
isochrone customers areas around each store. SARIMA Time series model estimation for outliers detection.
Determination of weekly and monthly product seasonality for each grocery store brand.
June 2016 – Aug 2016
Technical environment: Knime, R, QGis, Grass Gis

TOTAL Marketing Services
Data Scientist Consultant
Study of marketing campains impact on carwash customer attendance
Collection of data of interest in a single data lake. Exploratory analysis for determining key business
indicators. Cluster analysis. Predictive modeling.Design of a customized algorithm for solving interlinked
marketing campains poblem.
Dec 2015 – Apr 2016
Technical environment: Knime, R, SPAD, Postgre, Qlick

COCA-COLA Enterprise France
Consultant Data Scientist
Prediction of soft drinks sales
Data collection and preparation. Business drivers definition thanks to the analysis of the client’s data base
enriched with sociodemographic data. Sales prediction for each specific store.
Nov 2015 - Dec 2015
Technical environment: Knime, R, SAP PA

VEOLIA EAU IDF
Consultant Data Scientist
Ile de France water demand forecasting
Determination of water demand explanatory variables. Integration of Veolia data with open data. Three
prediction horizons: short, medium and long-term prediction. Comparison of different methods of time
series analysis and machine learning.
June 2015 – Aug 2015
Technical environment: Knime, R, SPAD


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