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Social Media Data

Location:
New York City, NY
Posted:
September 27, 2020

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Resume:

FLORENT

RUDEL

NDEFFO

******************@*****.***

917-***-****

*** ********* ******,

Brooklyn, NY 11233

SKILLS

Python, R, SQL, Java, JavaScript

Technologies: OpenCV, Selenium

Webdriver, Cocalc, R studio, ETL,

Android Studio, Eclipse Java,

Tableau, MS Excel, MS Word

Other Skills: Machine Learning,

Deep Learning, Regressions,

Convolutional Neural Network

Operating Systems: OS X,

Windows, LINUX

Languages: French (Native), English

(Fluent)

EDUCATION

New York City College of

Technology, CUNY

Brooklyn, NY • 05/2019

Bachelor of Science: Applied

Mathematics

Borough of Manhattan Community

College, CUNY

New York, NY • 05/2016

Associate of science: Computer

Science

Mathematical Optimization,

Stochastic Gradient Descent,

Statistics, Keras, Risk

Management, Computer Vision

PROFESSIONAL SUMMARY

Hard-working, passionate, success-oriented undergraduate in Applied Mathematics and Computer Sciences with ability to work on complex problems.

Interested in Data Science, Data Mining, Data analysis, Finance, Leveraging computational mathematics to solve problems. WORK HISTORY

Amazon – Machine Learning Data Associate

New York, New York • 02/2020 –

Performing Data Mining and Data Analysis to create and provide high-quality data to train Alexa

PTM Consulting – Data Scientist

New York, New York • 08/2019 – 02/2020

Leveraged Artificial Intelligence to predict the customers behavior and to provide useful insights to the marketing department

Trained a predictive model with an accuracy of 0.81

Using R to perform Data Mining from social media to provide insights TAP Network – Data Scientist Intern

New York, New York • 08/2018 – 12/2018

Worked on a machine learning project whose goal was to build a predictive model using Artificial Neural Network, to perform geodemographic segmentation

Leveraged large datasets to understand the level of engagement of clients then providing insights to the management

Used R to perform full and partial extraction of data. I cleansed, mapped and transformed data stored in databases

ACCOMPLISHMENTS

Leveraged Kaggle to train a model using Convolutional Neural Network to detect the Pulmonary Embolism

https://github.com/FlorentRu/Python-Programming-Developement-

https://cocalc.com/share/0575c859-1fd3-4d0f-9b99- c947b8c8e3b9/PolyRtFinder.sagews?viewer=share

https://cocalc.com/share/bcdd3c5f-6f10-4434-abb7- 1232b276ba44/Netflix%20Problem.sagews?viewer=share Member of one of the most popular Data Science website: Data Science Central https://www.datasciencecentral.com/profile/FlorentRudelNdeffo



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