• Led the rolling of an Airflow DAG using Apache Spark and involving Delta Lake and Elasticsearch databases to improve Balbix’s current data pipeline responsible for the product UI’s proper functioning.
• Created a statistical framework for normalizing distributions to provide clients with readable insights of their cyber-risk.
• Optimize Balbix’s cloud infrastructure to reduce cost of Apache Spark tasks by 50%.
• Conducted research and development within the cyber risk quantification team presenting research papers and modeling cybersecurity problems.
• Developed a new feature using an improved Shapley values-based framework to provide clients’ with their next best steps for them to prioritize their IT teams’ work and improve their cyber-risk posture.

During the Summer 2023, I perfomed an internship at Balbix within the AI/ML Team to help them improve their modelization of risk’s over a network and develop a new scoring metric for prioritizing vulnerabilities' resolution.

I am continuing my work at Balbix during the Fall 2023 semester as a part-time intern while finishing my studies at Columbia University. I am working on improving Balbix’s CRQ model using new datasets and state-of-the-art modeling techniques following my Summer 2023 work.

Tasks:
• Architecting machine learning models using graph theory and MITRE’s CAPEC dataset to enhance Balbix’s Cyber Risk Quantification (CRQ) platform, which quantifies cyber risk exposure and potential financial impact in business terms ($, €, £, ¥).
• Pioneered a novel cyber risk scoring methodology using Shapley values to help clients intelligently prioritize 1000s of vulnerabilities' mitigations based on potential financial impact. The approach considers each vulnerability’s marginal contribution to overall network risk, providing more nuanced insights than traditional CVSS scores.
• Optimized scoring algorithm runtime by 500%, compared to base implementation, by parallelizing computations in Apache Spark using PandasUDF, enabling hourly updates of risk scoring of millions of devices and vulnerabilities.

Teaching Assistant for the Department of Mathematics at Columbia University for Calculus II (Fall 2022 & Spring 2023), for Linear Algebra & Probabilities (Summer 2023) and for Calculus I (Fall 2023).

Tasks:
• Evaluated and overlooked assignments, projects and exams performance of over 350 students.
• Enhanced students learning by providing individualized assistance to follow lesson plan.
• Top 9 finalist of the University-wide ‘2023 Presidential Awards for Outstanding Teaching by a Graduate Student Instructor’.

Research Assistant in Jacobs lab: Electrophysiology, Memory, and Navigation Laboratory (https://jacobslab.bme.columbia.edu/)

Worked on a research project to develop classification machine learning models (using Linear Classifier, SVM, and MLP) to predict visual stimulus using electrocorticography neuronal signals with statistical significance.

• Developed for a startup machine learning models using Linear Regression, SVM, or XGBoost to predict time-series of daily attendance levels over a week of restaurants in Paris.
• Automated the collection and the pre-processing of open data from 6 different sources (weather, road traffic, events, etc.) depending on the location of the restaurants.
• Released a statistical method using Meta Prophet framework to predict attendance levels with 95% confidence intervals.
• Compiled a report to explain the functioning of my code and the impact of different parameters.

• Organized conferences with prestigious alumni (Paul-François Fournier, Michel Combes, Fred Potter, Jean Schmitt).
• Expanded corporate relations (partnerships with PwC, Strategy& and AlumnEye).
• Handled the communication of the association (Facebook, Instagram, LinkedIn and the website).
• Managed all the association’s administrative procedures and archives.
• Realized a conference on personal finance to introduce this subject to Télécom Paris' engineering students and explain them why they should invest as soon as possible, where they could start investing in and how they could develop their portfolio in the future
• Participated, as Secretary-General, in the definition of the association’s strategy to make it grow.

• Tutored 4 students from 6th grade to 12th grade in mathematics, physics, French, and chemistry for preparation to French examinations.
• Helped students with post-baccalaureate education counseling.

Managed a team of 40 people to organize Télécom Paris' 2021 career fair
Results : more than 500 students, 78 companies, €200k turnover, company satisfaction: 4.1/5 and student satisfaction: 4.4/5.
Handled:
• corporate relations (prospecting, customer service, etc.);
• logistics (choice of furniture, organization before the event, etc.);
• communication (administrator of Facebook & Instagram pages);
• the website (development of a digital business card solution via a QR Code system, CV library, interactive map, etc.);
• the organization of the association’s events (association campaigns, student parties, distribution of €55k for student projects, etc.).
As an elected member of the association’s board to represent both students' and school’s interests, I was always in discussion with the administration and corporate relations of Télécom Paris. I was also responsible for major decisions concerning the association.

Joined a team at Sopra Banking Software as part of the Undergraduate Program set up by Sopra Steria.

Tasks:
• Automated their internal documentation website (Python & GitLab) for referencing solutions deployed for their customers;
• Automated verification of bank security certificates from providers (Python & AWS Lambda) to send the necessary information to the Support teams.

I also learned more about the group by discovering all the verticals and subsidiaries of Sopra Steria. I was able to spend a full day with the HR manager and member of the Comex of Sopra Steria Group: Jean-Charles Tarlier.