About
Highly motivated Engineering Graduate specializing in Artificial Intelligence and Data, with hands-on experience in developing robust microservices architectures and machine learning solutions. Proven ability to optimize data processing pipelines, implement real-time fraud detection systems, and enhance web applications, demonstrated through internships and impactful projects. Eager to leverage expertise in Python, Java, Kafka, and Spark to drive innovative data-driven solutions and contribute to cutting-edge advancements.
Work
Artik Consulting
|Consultant (Internship)
Paris, Île-de-France, France
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Summary
Spearheaded the "Webhook" project as a Consultant for Colissimo, focusing on real-time parcel tracking system development and API optimization, leveraging Java, Spring Boot, and Kafka.
Highlights
Contributed to a significant project overhaul, migrating the system to Spring Boot and implementing message mapping for multiple Kafka topics to enhance data flow efficiency.
Developed and integrated new back-end API features, improving system functionality and data processing capabilities for real-time parcel tracking.
Wrote comprehensive unit and integration tests using JUnit 5 and Mockito, ensuring code quality and system reliability for critical applications.
Participated actively in daily Scrum meetings, fostering agile development practices and effective team collaboration to meet project deadlines.
Supported the "Webhook" project, which successfully reduced daily API calls by 70% (from 5.9M to 1.7M) by enabling real-time status updates without direct server requests.
Participated in drafting a successful call for tenders response for ESCP, contributing to new business acquisition and strategic growth for Artik Consulting.
Completed internal training on Angular (front-end), Spring Boot (back-end), Kafka & Spark (data processing), and Elasticsearch & Kibana (analysis & visualization) to enhance technical skill set and project contributions.
Technilog
|Internship
Paris, Île-de-France, France
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Summary
Developed a prototype web application demonstrating machine learning models for Technilog, enhancing product features and user experience using Python, Plotly Dash, and Git.
Highlights
Implemented advanced variable forecasting features within the application, accurately predicting future sensor values for enhanced predictive analytics capabilities.
Designed and developed an impact analysis module to effectively study relationships and influences between complex system variables, providing critical insights.
Developed an anomaly detection module based on an autoencoder and reconstruction error, enabling the identification of critical deviations in data streams.
Improved user experience through implementing robust authentication features and streamlining model update processes, enhancing application usability and security.
Contributed significantly to the development of a web application designed to showcase new features of Technilog's solutions, supporting product innovation and client engagement.
Education
École supérieure d'informatique, électronique, automatique (ESIEA)
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Engineering Degree, Master level
Artificial Intelligence and Data
Wrexham Glyndwr University
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Study Abroad Exchange Semester
General Studies
Languages
French
English
Certificates
Relational Database
Issued By
freeCodeCamp
JavaScript Algorithms and Data Structures
Issued By
freeCodeCamp
Data Analysis with Python
Issued By
freeCodeCamp
Skills
Programming Languages
Python, Java, JavaScript, R.
Python Libraries & Frameworks
Pytorch, Tensorflow, Plotly Dash, Pandas, Pyspark, Spring Boot, Angular.
Databases & Data Tools
SQL, PostgreSQL, Kafka, Elasticsearch, Kibana, Spark, Tableau.
DevOps & Cloud Tools
Docker, Git.
Machine Learning & AI
ML Models (Stacked), Anomaly Detection, Variable Forecasting, Incremental Learning, Active Learning, Affective Computing, Fraud Scoring.
Architecture & APIs
Microservices Architecture, REST API, Swagger, Webhooks.