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Engineer Data

Location:
Calgary, AB, Canada
Posted:
February 24, 2021

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Resume:

Blaise Ehou

● Data Scientist-MachineLearning, Engineer Statistician, IT Masters'degree, Certified Database Administrator

● Citizenship: Canadian

● Calgary(AB) Canada ● Phone 403-***-**** ● Email: adkgi7@r.postjobfree.com

DATA SCIENCE EDUCATION

● Data science & Machine Learning with R, Professional Certificates, Harvard University. 2020-2021

- R language,

- Data Wrangling

- Visualization with ggplot2

- Probability, Monte Carlo simulations,

- Productivity tools: Version control R Studio, terminal, UNIX, Git/GitHub

- Inference Modeling: Bayes stats, hierarchical model, t-distribution, LR, …

- Machine Learning:smoothing, kernels, loesss; Cross val., caret; algorithms: logistic regression, k-nearest, neigbors, random forests, trees, clustering; generative models: Naive Bayes, QDA, LDA,…

● Data Science & Big Data Analytics under Python, Massachusetts Institute of Technology (MIT), 2019

- Unstructured Data: Supervised/Unsupervized Learning, Clustering, K-Means, Dimensionality Reduction, Networks/Complex Data, Principal composent Analysis

- Regression and Prediction: Linear and Non-Linear Regression, Modern Regression with High-Dimensional Data, Inference, Lasso, Cross-Validation

- Classification, Hypothesis Testing, and Deep Learning

- Recommendation System: Matrix Completion, Collaborative Filtering, Personalized Recommendation, Hidden Markov Model, Neural Networks, Graphs

- Networks and Graphical Models: Centrality Measures, Global Network Statistics, Stocastics Models, Hidden Markov Model, Kalman Filter, Influence Maximization

- Predictive Modeling for Temporal Data: Feature Engineering, Deep Feature Synthesis, Primitives and Algorithms, Model Evaluation and Selection,

- Python, Scit-Learn

-Industrial projects: New York Taxi trip durations prediction under Deep Feature Synthesis Modeling.

Movie Recomendation System under Collaborative Filtering Modeling and Matrix Factorization Modeling

OTHER EDUCATION AND CERTIFICATIONS

● Engineer Statistician (Ph.D Engineering), at Ecole Nationale de la Statistique et de l’Administration Economique (ENSAE) [National School of Statistics and Administration in Economy], Paris, France

● Master’s degree in Information Technology, Centre d’Ingénierie des Technologies de la Communication (CITCOM) [Engineering Center of Communication Technologies] and Nancy & Paris Universities

● Sybase (ASE) Database Server Certified Administrator, at Sybase Corporation

● Microsoft Certified System Engineer (MCSE), Microsoft Corporation

SUMMARY OF DATA SCIENCE TECHNICAL SKILLS

● Statistics

● DS& ML languages R, Python, SQL

● AWS, CGP (some knowledge)

● Hadoop for Big Data, HDFS,

● NOSQL database MongoDB (some knowledge)

● Relational databases Sybase, Oracle12c, MS Access

● Apache Ambari

● DS & ML Algoritms Neural Network / Deep Learning, Time Series Analysis, Regression, K-Means Clustering,, K-Nearest Neighbors, Support Vector Machine (SVM), Decision Tree, Random Forests, Naïve Bayes, PCA/ Dimensionality Reduction

● Operating Systems UNIX (HP-UX, Sun Solaris, Linux, IBM AIX), Windows

EMPLOYMENT HISTORY

Database administrator and Engineer Statistician, at Matelec, Paris, France, 2008 -12/2018.

Designed and implemented data security strategies, created databases, carried out databasw administration after installing servers. carried out statistical projects forecasting product sales;Technical environment: HP-UX, Sybase databases 15.x and 12.x., SAS

Statistical Database Administrator and Engineer Statistician, United Nations, Economic and Social Commission for Asia and the Pacific, Bangkok, Thailand, 11/1999 - 12/2007

Carried out, via Sybase & HP-UNIX, database administration (Master database and user databases) after creating servers and databases, ; Retrieved/collected data from main sources (member countries, World Bank, Internationl Monetary Found,), wrangled and uploaded data into databases, implemented data security ; creating Machine Learning models analyzing and forecasting Millennium Developement Goals(MDGs).

Database and Network Administrator, EIC, Montreal, Mission to Stock Exchange of Paris, 5/1996 – 10/1999

Established data security and administered databases and a Netware 4.x and Windows NT 4.0 network after analyzing and migrating Oracle database 6.x to 7.x and Novell 3.x to Netware 4.x



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