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@rangeonnicolas
Flag of France Amiens, France
Member since June, 2016
0 Recommendations

Nicolas R

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"One of the best freelancers I ever meet. On time delivery and efficiently worked on my project" (Real Time Data Analysis with Spark - Sep 2016) "Top work, on time! Nicolas was very helpful with suggestions and improvement to the project and solutions to technical issues" (Gephi Network Analysis - July 2016) >> Feedbacks coming from my Upwork Profile (Upwork is an other freelance platform), feel free to visit it: www . upwork . com/freelancers/01b575c10807c27309 to see other client feedbacks ______________ => What I love : - Parallel Computing (Spark / pyspark) - Making hidden & important information available for everyone - Algorithms - Graphs (gephi, sigmaJS, data mining on graphs, spark) - Machine Learning - Data visualisation => Skills : Python (800h) / R (700h) / Pandas (500h) / C (300h) / Django (200h) / PHP (200h) / Symfony 2 (150h) / PostgreSQL (250h) / Javascript (200h) / PySpark [apache spark] (100h) / MongoDB (100h) / Data Mining / Machine Learning
$37 USD/hr
1 review
0.2
  • 100%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • N/ARepeat Hire Rate

Portfolio

Recent Reviews

  • image of SarahLickel Spark Data Mining (Spark MLlib + Spark Streaming + NLP) €10.00 EUR

    “Nicolas is definitely a very good freelancer. He is very communicative and seems very experienced in Spark technology (Python Spark, MLlib, Spark Streming) and also NLP. It was very easy to work with him. I would recommend him, and will probably hire him again if I need.”

Experience

Data Scientist

May 2016

Data Mining / Pharmacovigilence

Data Scientist

Mar 2015 - Mar 2016 (1 year)

> Python / Django / Spark (pyspark) > MongoDB ( documents ; 2 new documents/second ) > Elaboration of a RECOMMENDER ENGINE based on DATA MINING ( data mining ) and CO-OCCURENCE GRAPHS for tourism websites ( up to 150.000 visits / month / site ) > Elaboration of a CRM web-app ( PHP ; Symfony2 )

Data Scientist

Sep 2014 - Feb 2015 (5 months)

> Data Mining : STATISTICAL MODELLING > Python / Pandas > Implemented PREDICTIVE MODELS > Measured the models performances

Data Scientist

Sep 2012 - Feb 2013 (5 months)

> Data Mining on Facebook Data > R > SQL (Postgres) > Association Rules > Principal Component Analysis > Kohonen Maps > Hierarchical Ascendant Classification

Education

French Diplôme d'Ingénieur

2011 - 2016 (5 years)

Certifications

Decision & Data Mining (2015)

UTC - Université de Tecnologie de Compiègne

The courses proposed cover data warehouse and decision process protocols, multi-dimensional data analysis as used in data mining and statistical analytical methods (factorial analyses, regressions, automatic discriminating classification, neuron networks, vectorial computers, ...), plus techniques such as indexing, referencing, OR and image treatment.

Certifications

  • SQL Level 1
    85%
  • US English Level 1
    80%

Verifications

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