Profilbillede af ngorovitch
Medlem siden 26. marts 2015
0 Anbefalinger


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Recent Graduate in Data Science at the University of Rome. Developed an interest in machine learning, deep learning, recommendation systems, social network analysis. Fluent in French and English.
$20 USD/hr
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Portfolio Items

Nylige bedømmelser

Ingen bedømmelser.


Data Scientist

May 2019 - Jul 2019 (2 months)

Built and AI powered recommendation engine for a client with Python, Flask, Azure.

Data Scientist

Sep 2017

Character Recognition: Built a model using Convolutional Neural Network to recognize Font Type, Size, Bolt or Italic on a scanned documents using python and Keras. (Python, Keras, Sklearn) Various Other projects

Founder & Manager

Mar 2016 - Jun 2018 (2 years)

Led a team of 10 on the management, strategic planning and day-to-day management of the 5th biggest e-commerce site in Senegal Build the whole website with Magento and maintained it (Full stack). Created various applications for website such as a POS system for sellers with Java, an API for online payments, a price comparator by scrapping the web with Python

Communication Intern

Jun 2012 - Aug 2012 (2 months)

Tech support on Oracle e-Business suite. Helped in fixing computers daily, from hardware to software failure Worked on installing new equipments and maintaining current ones Provided tutorials on how to use new equipments


Master of Science in Data Science

2017 - 2019 (2 years)

Bachelor in Computer Science

2012 - 2015 (3 years)

Bachelor in Information Systems

2012 - 2015 (3 years)


Facebook PyTorch Training Camp (2018)

Università degli Studi di Roma 'La Sapienza'

Received training on the main techniques used in Natural Language Processing to manipulate and extract knowledge from natural language. The training consisted of numerous examples using the popular framework Pytorch applied to real life data

SAS Viya Training Camp (2019)

Università degli Studi di Roma 'La Sapienza'

Received training on the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decisiontree, regression, and neural network models).


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