École nationale de la statistique et de l'analyse de l'information : ENSAI

Training "Data science pour la connaissance client" is rich in soft skills, statistics and marketing background

Université Paris 8 Vincennes

From September 2018, I have the chance to poursuit my studies in Big Data and machine learning. Studying abroad has allowed me firts discovering many things and to emancipate myself and open myself to the world.

Université de Bambey, Senegal

I've graduated in this University for my bachelor degree.

Data collection tools

Design and implementation of a questionnaire for health data collection in rural area

customer churn modeling for financial bank

Churn modeling for financial data

Customer identification and profitability studies

Web Scraping: Collecting data from various website for database formation. Customer studies: classification of contract, client clustering. Applying machine learning model.

Natural Language Processing

The recognition of emotional states is a relatively becoming a technique in research, in this Apprenticeship I'm working in emotion prediction using audios files and deep learning algorithms.

Data analyst, Orange

Implementation of Predictive Model: Explolatory Data analysis Create KPI, Data quality control, Predictive Analyzes using K-means and CAH key words: statistics, Segmentation, Logistic regression, Statistical test, k-means, Finance

Statistician

Data collection: Implementation of data collection in Android aplliance using Open Data Kit Data analysis and data visualition for medical registers. Key words: medical, data collection, health, PCA, Data mining, SPSS

Certificat

keywords: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models

Link to certificate

Keywords: GDPR, Data privacy

Customer Churn modeling

This project is a modeling of credit card holders, the goal is to predict a holder's default over 12-month horizon. In short, it is about detecting "bad payers" from a series of characteristics measured on individuals, in order to grant or refuse a financial loan.

keywords: SAS, Logistic regression, financial data, data wrangling

Text mining for topic news classification

In this project we had to scrape data in the web and apply deeplearning algorithm. Scraping rss news, clean them by using BeautifulSoup and regex, describe the data before applying machine leatning model.

Keywords: rss, regex, text mining, deep learning algorithms, Naives Bayes

Machine learning & Data Viz

Random forest applied to weather data , Random forest applied to Diabets data , Data viz using QlikView, Tableau and Dataiku on Financial and Sales data. Keywords: Data viz, machine learning

Link to certificate

keywords: Bring meals to hospital, Receiving meal at Hospital for patients, Data teams in Slack

GitHub Project

keywords: Dataagainstcovid19 France teams: Collaborate in Slack, Collect data througt ARS and SPF of France, Report data daily data throught social network chanel