Maxime Khamnei

💼 Professional experience

Agilytic

• Banking: Modelling of a fraud detection algorithm to detect genuine document for loan applicants (Python)
• Marketing: Identify market trends thanks to structured data extraction from text documents (Python, LLM)
• Recruitment:
• Improve the matching between candidate and recruiters by automating the extraction of information and developing a recommendation engine (Python, SQL)
• Enrich and update the profile of the job applicant candidate with exogenous data and implement change monitoring (Python)
• Pharma: Data modelling and processing. Optimization of supply chain processes, to reduce the delivery time by a month, leading to significant gains (PySpark, Databricks)
• Public Institution:
• Design and setup of a brand new cloud data platform to analyze millions of documents (Python, AWS)
• Model and design a chatbot interface to automate the management of complaints from customers (Python, Azure, ArcGis, GCP)
• Retail:
• Enrich company profiles for market segmentation purposes (Python, LLM)
• Customer profile enrichment to support market segmentation and lead scoring applications (Python)
• Services: Competitive watch tool development through web scraping (python, Azure)

I Gialli e Rossi – Le Palais de la Truffe

• ERP solution deployment
• Internal processes digitalization
• Data base migration
• Operational marketing

🦾 Certifications, trainings

Methodologies

• ML modeling
• Data analysis
• Statistics
• Natural Language Processing
• Large language models (LLM)
• Optical Character Recognition
• Web scraping
• Reporting and Dashboarding
• Agile developments

Software & programming

• Python
• Amazon Web Services (AWS)
• Microsoft Azure
• Apache Spark – PySpark
• Excel
• Git
• PowerBI
• SQL
• R

Certifications

• Microsoft Azure Data Fundamentals, DP-900 (April 2023)
• Amazon Web Services Certified Cloud Practitioner, CLF-C01 (September 2023)

🎓 Academic credentials

🇺🇳 Languages