ABOUT ME
I'm a young engineer graduate from ENSIIE (Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, ex IIE-CNAM), specializing in Applied Mathematics, Statistics, Data Analysis and Data Science. I also have a strong background in informatics, especially in Python and SQL.
I did several internships during my studies, including one at TotalEnergies in 2024 which made me get in touch with the world of economy, commodities, the energy markets and renewables.
I am very much a jack of all trades and like to explore everything I can get my hands on. From art (digital as well as traditional) to technologies through literature, I have never met a subject that I don't want to know more of.
EDUCATION
Master of Science and Engineering
2021-2024
ENSIIE (Evry, France)
• Engineering degree at ENSIIE (Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise).
• Specialization in Applied Mathematics : Statistics, Data Analysis, Machine Learning (supervized and unsupervized).
• Courses of project and team management, law (especially cybersecurity regulations), communication, economics (microeconomics, macroeconomics, introduction to finance)
Preparatory class for engineering school
2018-2021
Lycée Fabert (Metz, France)
• Preparatory class (CPGE, Classes Préparatoires aux Grandes Ecoles) in Mathematics, Physics (MPSI-MP).
• Specialization in Computer Science.
• Courses of mathematics, physics, chemistry, informatics, philosophy.
Baccalauréat degree
2018
Lycée Saint-Pierre-Chanel (Thionville, France)
• Scientific Baccalauréat (biology, mathematics, physics, chemistry).
• Specialization in Mathematics.
• Graduated with honours.
Other certifications
• Bloomberg : Finance Fundamentals (2024).
• Bloomberg : Market Concepts (2024).
• Bloomberg : ESG (2025).
EXPERIENCE
Internship in Data Analysis and Economic Modelling
April 2024 - October 2024
TotalEnergies - Paris (France)
• Created and updated a database containing critical informations about energy production (such as energy source location, service dates, power output, type of energy (nuclear, solar, hydro, Cycle Combined Gas Turbine (CCGT), Open-Cycle Gas Turbine (OCGT), etc.).).
• Processed and structured data for application in Levelized Cost Of Energy (LCOE) and Levelized Cost of Hydrogen (LCOH).
• Developed and modified the application summarizing necessary information and forecasts for LCOE and LCOH prices depending on chosen parameters the entire company.
• Enhanced economic model for strategy plans. Calculated the technical and economical aspect of LCOE using Long-Term Plan for economic assumptions.
• Assisted in the development of an economic model with the Merger & Acquisition team to value companies in the field of renewables.
• Use of Python, SQL, PowerQuery, PowerBI, Microsoft Excel, VBA, AWS, JavaScript.
Internship in Data Analysis and Machine Learning
June 2023 - July 2024
SnT (University of Luxembourg) - Kirchberg (Luxembourg)
• Worked under the supervision of a PhD student as part of his thesis at the Security and Trust center (SnT) in the University of Luxembourg.
• Predicted future electric consumption depending on external factors (such as sport events, weather related events and trends, school vacations, geopolitical events, etc.) using time-series and Neural Networks.
• Processed and structured data into time-series to embed into the existing model.
• Search for existing work by other researchers on the same theme to challenge the established model and assumptions.
• Use of Machine Learning methods & algorithms, Deep Learning. Use of Python, PyTorch, TensorFlow.
Internship in Software Development
May 2022 - July 2022
Atoz Digital Solutions - Niederanven (Luxembourg)
• Automated the extraction of information in accounting documents of different shapes and arrangements.
• Automated the detection of critical informations in these documents depending on their shapes to help with the automatic completion of annual reports for companies.
• Compared with Machine Learning method for automatic completion.
• Use of Python, AWS Textract, AWS Sagemaker.
SKILLS
COMPUTER LANGUAGES:
Python
R
JavaScript
SQL
VBA
HTML5
TECHNOLOGIES:
Microsoft Excel
(PowerBI, PowerQuery)
PostgreSQL
Tensorflow
PyTorch
Jupyter
AWS
LANGUAGES:
ENGLISH C1 (111/120 TOEFL)
FRENCH Fluent (Native)
GERMAN B1 (certification)
CHINESE A2 (HSK2)
PROJECTS
President of association
2023
• Responsible for the external communication of ENSIIE.
• Managed the allocated budget and the members of the association.
• Created and sold goodies, created the associative brochure, organized contests among students to renew designs.
• Represented the school in forums and in various events.
President of association
2022
• Responsible for the organization of the 2022 student gala at ENSIIE.
• Planned the event as well as logistic (catering, site privatization, security, decorations, invitations, sale of invitations, legal matters)
• Managed the allocated budget as well as the privision one. Managed the organisation team.
• Communicated about the event on social networks and inside ENSIIE.
Founder & President of student association
2022
• Student association dedicated to sewing and embroidery.
• Organized workshops to make students discover or improve sewing and embroidery.
• Provided sewing services to other students (such as repairs or cloth fitting).
Founder & Member
2018 - 2023
• Founded and performed in a music group in CPGE and at ENSIIE.
• Oragnized concerts and musical events (such as High School Concert in CPGE).
• Practiced the flute since 2007.
TIPE : password encoding
2020 - 2021
• Project as par as TIPE (Travaux d'Initiative Personnelle Encadrée) during CPGE on the theme "Societal Matters : environment, security, energy".
• Study of the encoding and decoding of passwords and the most famous methods.
• Study of Caesar's encoding method, Enigmaand differential confidentiality.
• Implemented some of these encoding and decoding methods (with or without encoding keys) using Python.
TIPE : submarine cables
2019 - 2020
• Project as par as TIPE (Travaux d'Initiative Personnelle Encadrée) during CPGE on the theme "Ocean".
• Study of the submarine cables across Earth and the information transport in it.
• Modeled some parts of Earth's submarine cables by using graphs and studied the optimization in this graph by using optimization algorithms such as Dijkstra.
• Implemented the optimization using Python.
Optimization of networks
2023
• Theoretical otimization to minimise the cost of networks for broadcast/multicast routing using non-oriented connected graphs with weighted edges.
• Implemented different methods to get spanning trees of these graphs with a minimal number of branching vertices.
• The methods using linear program formulation were : Integer linear program formulation with exponential number of constraints; Integer linear program formulation based on the simple flow concept (PLNE-CP); Integer linear program formulation based on the multiple flow concept (PLNE-CPM); Martin's formulation.
• Used a cycle-based method.
• Used a machine learning based approach (RandomForest Classifier, K-Nearest Neighbors Classifier, SVM Classifier, XGBoost Classifier).
• Implemented and compared all these different methods using Python.
Non-deterministic Turing machine : solving the Maximum Cut problem in polynomial time
2023
• Created a non-deterministic Turing machine for solving the Maximum Cut problem in polynomial time.
• This problem consists in determining whether there exists a cut (S,T) of a graph G = (V,E) (with m edges) of size k less than m, i.e. a partition of V into two sets S and T such that there are at least k edges connecting a node of S to a node of T.
Mental Health Prediction according to working conditions
2023
• Studied the impact of working conditions on mental health according to a survey from 2021 depending on different factors (age, possibility of remote working, insurance, family history, etc.).
• The methods used were : RandomForest Classifier, SVM Classifier, K-Nearest Neighbors Classifier, Gradient Boosting Classifier.
• You can find the project notebook on my GitHub !
Prediction contest : Spaceship Titanic
2023
• Project in a group of 2 students.
• The aim of this project was to make the best predictions on a dataset provided by Kaggle. This dataset is Spaceship Titanic.
• We had to predict whether or not a passenger would be transported to a parallel dimension after a shock in space aboard a spaceship depending on factors like homeplanet, age, cabin number, destination, whether or not the passenger was cryogenized, its expenses in the ship, etc.
• The methods used were : Elastic Net Classification , Decision Tree Classification, RandomForest Classification.
Optimization of routes for Amazon drivers
2023
• Project in a group of 3 students.
• Proposed an optimized solution for a route based on streets, stop and parcel data provided by Amazon for Amazon drivers delivering packages.
• Implemented optimization in Python.
Challenge Entreprendre
2023
• Project in a group of 6 students from engineering school as well as business school.
• The goal was to create and pitch a startup in a week, including its business plan and technology.
• Team nominated as one of the competition's winner (2nd place).
• Started to create and implement a robot operating system verification tool to ensure safety on assembly lines using formal proofs
• Assisted in the creation of the business plan.
• Assisted in marketing and pitch video.
Optimization of factory bar cutting
2023
• Optimized the cut of metallic bars of a specific length depending on the customer's demand.
• Implemented the optimization using Julia.
Font creation using Bézier curves
2022
• Project in a group of 2 students.
• Create a font using Bézier curves.
• Use of Casteljau's algorithm to construct the letters.
• Created two different fonts : an empty one and a full one with the same outline.
Chlorophyll-a distribution prediction
2022
• Project in a group of 2 students.
• Retrieved the subsurface distribution of Chlorophyll-a at different depths using the sea-surface data.
Video Game : quizz game
2022
• Project in a group of 7 students.
• Created a quizz video game in HTML using "scrum" methods to learn to work in bigger teams.
• In the quizz, you are given an actor, and your goal is to click on the film where the actor has played. This is linked to a database.
Representation of words using binary trees
2022
• Implemented in CamL to write and stock words in trees as the letters were stocked in the leafs.
Black Scholes simulation
2022
• Project in a group of 3 students.
• Demonstrated Black Scholes equations mathematically, applied it to the evolution of market prices and implemented theories.
Video Game : card game
2022
• Project in a group of 4 students.
• Created a video game in C consisting of a board, on which you could play differents cards with different effects to win or lose points. The goal was to be the one with the most points at the end.
Word reading in LR(1) automatons
2021
• Implemented word recognition and word reading in LR(1) automatons using the C language.
• Implemented this project by using a matrix representation of the automatons after studying different possible templates and examples.
And many more to come!
HOBBIES
Art
Since I was a kid, I've always liked to draw. I liked to create "beautiful" things.
I started with traditional drawing, and as the years passed I discovered many different forms of art.
Among the techniques I use, you can find coloured pencils, alcohol markers, acrylics...
One thing art taught me is patience. To have a great result, you have to be patient and learn new skills every day.
More recently, I discovered digital drawing, and it made me question everything I knew about making art. Between new canvas, new pencils and a new horizon with colours, I felt lost at the beginning. However, I am still working on mastering digital art !
Literature
Reading a book feels like dreaming. and I mean that ! Since I learned how to read, I never stopped. What I especially like to read are novels.
The style I like has changed as the years have passed, and it went from sci-fi novels to fantasy, then to polars and back to political stories between families. More recently, I've also discovered more visual stories like Webtoons or visual novels. However, I don't really have a style that I prefer.
Some of my favorite authors are Madeline Miller, Junji Ito, Robin Hobb, Robert Jordan and Victor Dixen (and way, way more...).
Video Games
As for my more nerdier side, I often like to play video games.
From gaming consoles to computer games, I never encountered a game I didn't like, even if I tend to prefer cosy games.
Some of my favorite games are Zelda (especially Breath of the Wild), Genshin Impact, Stardew Valley, Animal Crossing...
As you may have seen thanks to some of my favorite games, I'm a huge fan of open-world games. Indeed, discovering and adventuring in places with the freedom to move as you want is a blessing.
If you have some game suggestions, feel free to let me know ! I'm always up to try new things !
Travels
Fond of discovering new things, I had the chance as a kid to have my parents taking me on every trip they made. As a result, I developed a burning passion for travels, especially in places where I never went.
Now that I am a bit older, I can travel on my own, and discover the world as I wish, and it fills my heart with joy every time I see a new place, new people, or a new culture. To celebrate the end of my engineering studies, I even gifted myself a solo-trip to South Korea and Japan !
Something these trips really made me discover is my ability to accept differences and to enjoy it. I can easily accept new opinions or new ways of seeing things.
Some of the other countries I've been to are the USA, Canada, China, Mauritius, Oman, lots of European countries, and way way more...
Sewing & Embroidery
I discovered sewing and embroidery thanks to my grandmother. Since then, I undertook different projects. As an example, I started a tapestry from Zelda Breath of the Wild (you can see I like video games...) last year, and I still haven't finished it yet.
I also designed and sewed my own gala dresses for both the 2021 and 2022 editions of my school Gala. When creating clothes, I like to imagine it from scratch, and I often start with just a piece of fabric. Then, I plan everything until it's finished.
Both sewing and embroidery require patience, a quality that I already developped thanks to art and drawing. It also requires precision.
Music
I've always liked music. I started playing the flute at 7 years old, and have never stopped since then.
I tried to learn the guitar (acoustic) and piano when I entered high school. I also gave music theory lessons to kids.
During my middle and high school , I was in a orchestra in my conservatory. During my preparatory classes, I created a music band with some of my classmates. We even played at the high school's concert. During my engineering school, I participated in the creation of a symphonic orchestra with some other students. This project must (is still) go(ing) on !
I don't only like to play music, I also love to listen to it. From the classic Bluetooth speakers to my vinyl record player, music never stops playing.
CONTACT
Feel free to contact me !
Or via email : typhaine.hauser@gmail.com