Summary Mobile aplication for a confidential use case, something like an Airbnb with IoT. It includes
the development of an Android application for mobile phone with geografical data, Beacons and IoT
using Raspberry Pi. The server side is hosted on Google Cloud Firebase.
Summary Conception and implementation of a revenue forecast POC. Evolution of the Rebeca tool
having a web user interface ful y Javascript, JSON, REST. Decision support and automatic data
adjustments using Machine learning. Al the reporting in SSAS feeded in near real-time with SSIS.
Development of an API using ASP.NET Core Web API.
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Curriculum vitae
Helder ********
Project Région Globale dashboard
Summary Development of a reporting dashboard for the "Région Globale" of Project Management
Institute France. It characterizes the worldwide based PMI France members over the time with trends
and evolution KPI's.
Technologies Power BI online and desktop, DAX, M
Project Trainer on Microsoft BI Architectures
Summary Prepared and delivered a training about Microsoft Business Intel igence architecture for
the internal team of L'Oréal.
Works as freelance helping clients conceiving solutions with custom developments. Specialized in
near real time Business Intel igence, Machine Learning and SOA solutions.
I'm very technical, I love programming languages, algorithms, data structures, paral el and distributed
computing, real time computing, cryptography and security algorithms. But my strongest point is the
understanding of the functional requirements and the conception and optimisation of the solution
ergonomics to accomplish the process.
I also have a continuous experience and university degree in Project Management.
Summary Conception and development of a solution for revenue forecasting for al the International
Business of OBS. It included the development of an Excel Add-In to adjust data on SSAS cubes in
real time, using C# and VSTO. It includes the development of an SSIS paral el execution Scheduler,
capable of asynchronously launch SSIS packages and control execution graphs, taking into account
dependencies and priorities.
Master Data Management was implemented on SQL Server 2016 MDS where we stored al the
referentials, with the ability to update and versioning it, together with the access rights and
responsibilities matrix for each Referential.
We built a standard injection mechanism able to trigger, accept and reject data treatments. For al
sources we configured the interface contract, including mapping with referentials and data validations
rules like data type, mandatory/optional. Over this standard injection mechanism, we built Data
Quality standard reports able to show errors or warnings on input files. Those reports were used for al
kind of files, behaving particularly accordingly with the configured interface contract.
Responsible by Microsoft licenses assignment and optimization and for Cloud P&L.
Project REBECA - Financial forecast
Summary Construction of a Forecast solution using SSAS cubes tabular and multidimensional ,
ASP.NET, SSIS, SSRS and SharePoint. The solution receives files on the SharePoint site and treats
al the data using Integration Services. The cube is refreshed with the new data some seconds after
the user submits it to the SharePoint site.The solution is highly customized using multithreading c# on
al levels SharePoint, ASP.NET, SSIS, SSAS stored procedures and SSRS web services. The control
of the solution is implemented using SharePoint Workflows.
As part of the deliverable was the configuration of a SharePoint 2013 farm, including SQL 2014
Business Intel igence components PowerView and PowerPivot.Also included the configuration of the
distributed security between servers using Kerberos.
Summary Using Wi-Fi data sent by smartphones, tablets and laptops, the system is able to localize
people in public buildings. It consists in a set of receivers placed on the building capturing frames sent
by devices sending data, or simply trying to reach an access point. The data is captured using .Net
specific development for the wireless cards, then is transmitted in near real-time to an Apache Spark
server that synchronizes the streams coming from the dif erent receivers. The synchronized stream is
used to query a trained neural network Microsoft Analysis Services and places de results in a
database.
This system was developed in the context of a proof of concept Apache Spark Streaming.
Main responsibility Ful conception and development
Project L'Oréal - iPanel
Summary Development of a Business Intel igence solution containing data about the worldwide
sales of cosmetics. It receives data from each country in several file formats using SSIS and .NET
parsing. A web application was developed to control al the system operations and proceed to the data
treatment involving reference data management and mappings. At the end of the treatment the data is
stored in a data warehouse and published to the users in a SSAS cube. The system receives data
from more than 30 countries containing near 15 bil ion of facts a month and updates data in less than
one minute.
Main responsibility Solution Architect Design of a solution to deal with a large data volume in real
time, using a web application that al ows to instantly scrol ing over lists and trees of hundreds of
thousands of dimension members. Designing of large data files parsers to receive and store several
GB of data in some seconds. Design databases for real time mapping and al ETL needed to
accomplish the data warehouse feeding. Conception and implementation of several algorithms for
data treatment al owing the publication of new data in the SSAS cube on some seconds.
Development of several system parts using .NET, SSIS, SQL and SSRS. It also included a
datamining proof of concept using Microsoft Time Series Algorithm for sales predictions.
My main role in Capgemini was to conceive information systems architectures adapted to the Vision
and Strategy of our clients, led by business and business benefits. Deal with clients is one of my
preferred tasks in either contexts of pre-sales or project.
In the fol owing paragraphs I present the main Capgemini projects where I've been