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Hello , I’m Nada El Berri Data scientist.
After joining the mathematics and physics preparatory classes, I discovered that I did not like physics at all, but I had always been interested in maths and programming. During my 3 years of engineering school at INSEA “Institut national de statistique et d’économie appliquée”, I was fascinated by complex combinatorial problem solving, prediction and optimization. Therefore, as my first professional experience, I was looking to combine operations research with machine learning and subsequently, I was hired as a Data Scientist at Datategy and this position allowed me to reach my professional goals.
In my spare time, I like to go out for a drink with my friends, go to the cinema. I also like to go to amusement parks and other exciting things.
What's your role at Datategy ?
My role as a Data Scientist is to collect unstructured data and convert it into a usable format. After analyzing the data, I write reports or presentations, detailing the approach and its results.
These analyses aim to find new areas for optimization and growth. Currently, I am working in the transport team where my main task is to optimize the itineraries of the control officers with reinforcement learning, applying ‘ The Orienteering Problem with Time Window ‘ which is a combinatorial optimization problem where the objective is to maximize the total score collected in the different stations visited.
What does your typical workday look like ?
I have very organized days !
- 9:00 – 10:00: Daily meeting with the whole Transport team to determine the progress of the projects and to set the objectives for the day. then i prepare my to-do list.
- 10:00 – 12:00 : I spend a lot of time to study, analyze and understand the problems of the day to become familiar with the concepts and principles of the different models created.
- 12:00 – 14:00: I move on to data collection and exploitation.
- 14:00 – 15:00 : The data are at my disposal, I start the cleaning and analysis stage.
- 15:00 – 18:00 : Once my data is usable, I move on to the modelling and evaluation. At the end of the day, I quickly go through my to-do list to check if I’ve processed everything, if not I reschedule what I couldn’t finish.
Tell us a little about Datategy AI solution
The papAI platform is a simple, fast and efficient artificial intelligence solution with a high level of explainability of the results, It is used in several sectors such as transport, for example. It is used by public transport networks (SNCF, RATP, Le Groupement Lacroix & Savac..), which aims to reduce fraud.
The solution is divided into two applications: A web application to manage teams, shifts, itinenaries and analyze data. A mobile application for field officers that allows them to enter a ticket, view the ticketing history and have in real time the list of areas to visit and thus direct officers to the places where fraud is highest at the moment.
What's your favorite part of your job ?
I really like the fact that there is always something new to learn. I am really passionate about learning new things in the field of artificial intelligence and I consider myself very lucky to work in a field that is constantly evolving and developing with new technologies. And most importantly, my job requires a lot of multitasking, which allows me to develop my softskills.
What's your next challenge on Datategy ?
Continue to develop our platform to best support the challenges of tomorrow’s world, and more specifically, implement the OPTW approach to optimize enforcement officers’ itineraries to help our clients recover their lost revenue from fraud.
Interested in discovering papAI ?
Our commercial team is at your disposal for any question.