In short

Data Science - Analytical - Digital

Get in touch!

Tel: +31 6 45 50 27 81
Email: mahy_nicolas@hotmail.com
Skype: nicolas.mahy3
Let's connect: linkedin.com/in/nicolas-mahy/
D.O.B.: 29/09/1992

Find the latest version of my CV at www.nicolasmahy.com


Work experience

Oogst Online

Data Analytics Consultant

  • Data science projects like path analysis, recommender module, attribution analysis, ...
  • Building scripts/tools for marketing automation
  • Analyze and build A/B tests
  • Collecting data of online behavior of users and think of ways to make marketing more efficient
  • Combining, structuring and visualizing data flows
  • Worked together with brands such as NS, Patagonia, Mazda, Leen Bakker, Europcar, Bruna, Vandebron, NSinternational, NCOI, Stern, Hema,...

February 2018 - Present



Twist Digital

Freelance Web Developer

  • Building e-commerce platforms, websites, web applications
  • Custom web applications: Mail tracking systems, Email verifier, Database applications,...
  • Good knowledge of PHP, MySQL, Javascript & jQuery
  • Excellent knowledge of HTML & CSS
  • Specialized in WordPress based applications

October 2017 — March 2018



Qualifio

Account Manager

  • Assisting clients with online marketing strategy
  • Implementing minor design changes (front end development)
  • Researching organisations and individuals to identify new leads and potential new markets
  • Contacting potential clients via email or phone to establish rapport and set up meetings
  • Building and maintaining strong, long-lasting customer relationships

August 2017 — January 2018



Conversion Talent

Recruitment Consultant Digital Marketing (internship)

  • In charge of internal recruitment (Account Managers, Recruitment Consultants)
  • Learning more about online marketing to attract the right profiles
  • Using sales, business development, marketing techniques and networking to attract talents
  • Developing website employer branding
  • Receiving and reviewing applications, managing interviews and tests to create a shortlist of candidates
  • Informing candidates about the results of their interviews

September 2016 — December 2016



Data Analysis/Science experience

Programming languages:
-Python (Numpy, Pandas, Keras, Flask,sci-kit learn,matplotlib,…)
-R (ggplot2, WRS, car, mlogit, QuantPsyc, gmodels,…)
-PHP
-SQL
-Javascript
-HTML
-CSS
Data science projects:
-Recommendation module
-Path / Online behavior Analysis
-Attribution Analysis for Online Marketing Campaigns
-Building a ML project end-to-end, from gathering the data, analyzing the data, model creation, building an API with Google Cloud and evaluating the accuracy of the model
-Researching data from CRO tests to identify relationships / interactions
-Built a tool to export Google Analytics data using their API and prepare it to test classification models
-Sales prediction by using Linear Regression and LSTM networks (Time series analysis)
Data science methods:
-(Log)Linear Regression / Chi Square analysis
-Supervized Learning techniques (Decision Trees, OLS, kNN, SVM,...)
-Unsupervized Learning techniques (PCA, k-modes, k-means,...)
-Model optimization (Feature selection, One-hot encoding,...)
-Neural networks (Keras, Tensorflow (Basis))
-Time series analysis (LSTM, Markov Chains, Survival analysis,...)
Marketing automation projects:
-Built a Chrome extension to automate repetitive, manual configurations in Google Analytics
-Connecting to different API’s to centralize data flows
-Maintaining and (co-)developing a website scraper to load dynamic content
Tooling, frameworks:
-Linux (Debian) environment
-Relay42 TMS & DMP
-Google BigQuery
-Google Data Studio
-Google Compute Engine
-Google App Engine
-Google Analytics
-Google Tag Manager
-Apps Script, AdWords Script (automating online marketing applications)
-Channable (to merge on- and offline data)
  • Programming languages:
    -Python
    -R
    -PHP
    -SQL
    -Javascript
    -HTML
    -CSS
  • Data science projects:
    -Recommendation module
    -Path / Online behavior Analysis
    -Attribution Analysis for Online Marketing Campaigns
    -Building a ML project end-to-end, from gathering the data, analyzing the data, model creation, building an API with Google Cloud and evaluating the accuracy of the model
    -Researching data from CRO tests to identify relationships / interactions
    -Built a tool to export Google Analytics data using their API and prepare it to test classification models
    -Sales prediction by using Linear Regression and LSTM networks (Time series analysis)
  • Data science methods:
    -(Log)Linear Regression / Chi Square analysis
    -Supervized Learning techniques (Decision Trees, OLS, kNN, SVM,...)
    -Unsupervized Learning techniques (PCA, k-modes, k-means,...)
    -Model optimization (Feature selection, One-hot encoding,...)
    -Neural networks (Keras, Tensorflow (Basis))
    -Time series analysis (LSTM, Markov Chains, Survival analysis,...)
  • Marketing automation projects:
    -Built a Chrome extension to automate repetitive, manual configurations in Google Analytics
    -Connecting to different API’s to centralize data flows
    -Maintaining and (co-)developing a website scraper to load dynamic content
  • Tooling, frameworks:
    -Linux (Debian) environment
    -Relay42 TMS & DMP
    -Google BigQuery
    -Google Data Studio
    -Google Compute Engine
    -Google App Engine
    -Google Analytics
    -Google Tag Manager
    -Apps Script, AdWords Script (automating online marketing applications)
    -Channable (to merge on- and offline data)

Education

Data Science

Johns Hopkins University
(Coursera)

  • Exploratory Data Analysis
  • Regression Models
  • In progress...

2019 - Present


Master of Science International Management

University of Worcester (Worcester, United Kingdom)

Extracurricular activities:

  • Committee Member of the Economics Society
  • Member of the Debating Society
  • Member of the Table tennis Society
  • Student Representative

September 2016 - June 2017


Bachelor Degree,
Advanced Business Management

UCLL (Leuven, Belgium)

Extracurricular activities:

  • Chess Club

September 2015 - June 2016


Bachelor Degree, Sports and Exercise

Howest (Bruges, Belgium)

Extracurricular activities:

  • Student Representative

September 2012 - June 2015


Self-study / Books

  • Introduction to Machine Learning with Python
    by Andreas Müller, Sarah Guido
  • Discovering Statistics using R
    by Andy Field, Jeremy Miles
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow
    by Aurélien Géron
  • ...

Languages

Dutch (Native or bilingual proficiency)

100%

English (Native or bilingual proficiency)

90%

French (Elementary proficiency)

65%

Volunteering

De Voedselkringloop

Logistics (The Netherlands)

  • Transport food waste
  • Brainstorm about marketing strategy

May 2018 - August 2018


Worcester Arts Workshop

Web developer / Marketeer (United Kingdom)

  • Setting up online booking system
  • Discussing marketing strategies
  • Optimising website layout
  • Organising meetings with stakeholders

May 2017 - June 2017


Responsible Young Drivers

Logistic Coordinator (Belgium)

  • Encouraging people not to drink and drive
  • Driving people home safely on New Years eve

September 2016 - January 2017


Jong VLD Leuven

Board Member (Belgium)

  • Developing website
  • Online marketing to promote events
  • Discussing local government policy issues
  • Organizing events to make young people more aware of politics
  • Coördinating promotional activities of the events

2016 - 2017