Guided by the core belief that trial and error beats academic knowledge, I believe the best insights come from learning through experimentation.
About me
Data nerd, SQL obsessed, aspiring AI Expert.
Data analyst with proven experience in data quality, including a mission for Disneyland Paris on a large-scale DevOps CI/CD project. Automated Snowflake routines, reducing execution time by 90%. Skilled in Power BI. Aspiring AI expert seeking a 2-year internship starting in September 2026, to apply my skills and gain hands-on experience in modern AI systems before beginning my Master’s degree in AI the same month. Trilingual (ENG/FR/RU) with strong intercultural background.

Certifications
2012 - 2017
MSc in Languages, Culture & Societies
University of Strasbourg
Plurilinguism & Interculturality
Permanent validity
France
Current skills


Python Automation
I design Python scripts to automate repetitive tasks, streamline workflows, reduce human errors, and improve productivity. I took the initiative to implement automation in Snowflake, helped my team do it in Azure Functions with Microsoft SQL Server, and apply it whenever I can.
SQL Mastery
During my work with Disney data, my task was to reproduce the complex SQL queries used by their teams to achieve the same results. This required deep logical thinking and optimization skills. I thought I knew SQL, but this mission truly taught me how to craft professional-grade, efficient queries while learning on the fly.


DevOps & CI/CD
For the first time, I worked within a DevOps framework, collaborating with multiple teams across an international environment and engaging with CI/CD pipelines. The challenge was heightened because the data schema often changed—even in production—adding unexpected complexity at my level, which pushed me to adapt quickly and understand how development, operations, and analytics intersect in real-world projects.
Work
Highlights
Highlights of the projects and experiences I’m most proud of in my professional journey.

Problem solving using ML
At BLC Data Services, I handled a time-sensitive ad-hoc analysis to verify an external consultant’s work that management couldn’t. Using linear regression, I identified the key variable and solved the equation in 15 minutes, uncovering inconsistencies, earning strong positive feedback.

ML-Powered Supplier Insights
During my apprenticeship at Hager Group, at the request of the supply chain service, I developed a supplier scoring system from scratch, using ML clustering in a Power BI report to categorize suppliers and took the initiative to create visuals that were particularly appreciated.

Internal Tech Talk: Power BI AI Tools
I introduced Power BI AI tools at the company’s TechExchange, presenting in English to 50+ Hager Group participants, most of whom were new to Power BI. The session received positive feedback, and I confidently addressed their technical questions.

Automating Data QA for Disney
At BLC Data Services, ensured data quality for a new Disneyland Paris mobile app, auditing 100M+ records. Organized work efficiently and automated checks with a Python script in Snowflake, cutting execution time by 90% and catching errors overlooked by Disney’s own teams, freeing time to support colleagues on other missions.
Side projects
AI customer manager
Flask, Google Gemini
AI CRM that eliminates 4 hours daily SDR data entry. One sentence → Instant pipeline. Bulk E-mail. No forms. No typing. No spreadsheets. Natural language → Smart CRM. SDRs close deals, not data entry.

real e-commerce analytics
Power BI
Uncovering actionable insights from real e-commerce data — delivering customers/sellers segmentation, year-over-year sales trends, and performance insights through powerful data exploration and visualization of orders, products, payments, and sellers.

AI 3D segmentation API
Dash, Scikit-Learn
API connected to PostgreSQL database with the possibility to create, read, update and delete data + perform a simple clustering technique with hyperparameter tuning.

cyber threat detector
Flask, PyTorch
Demo of how advanced AI techniques and adversarial dataset conditions can help organizations proactively defend against cyber attacks and safeguard critical information.

What I'm striving for
1
Advanced technical skills
2
Area of expertise
3
Project management skills
4
Initiative and leadership
Contact
abkn © 2026

