Arval is a global leader in full-leasing solutions and fleet management, present in more than 30 countries. They provide innovative mobility solutions helping businesses optimize their vehicle usage and become a part of digital transformation.
I interned as a Data Scientist at their Data and RPA Office, Corporate Centre suited in Rueil-Malmaison, where I provided small contribution in their journey of adopting AI solutions for simplifying the business processes.
Projects accomplished
Model Match and KPI Extraction
Built a user-friendly dashboard for the ESG department, where they can upload certain files, compare the amount of vehicle models matched in them and extract the Key Performance Indicators of those matched models. The KPIs include various parameters related to vehicle pollution emissions, which indeed help in making sustainable business decisions.
Feedback analysis app
Assisted in building an application for viewing employee feedback in simple business terms using LLMs for translation, classification and summarization.
AI evaluation framework
Designed a framework to measure the AI performance and effectiveness of both newly built and existing chatbots to ensure they meet defined quality standards and bring AI value to the business processes.
Tender questionnaire answering tool
Built an application for the ESG Department using Large Language Models (LLMs) to answer tender questionnaire with efficiency and accuracy. The app utilizes GenAI models and Retrieval Augmented Generation (RAG) pipeline to provide relevant answers.
RPA automation task
Implementing Python skills, I helped automate a pre-existing workflow for the creation of issues/tickets in the JIRA Request Management tool using generated log files of activities in the device management.
Dashboard for chatbot analysis
Contributed and designed a dashboard which utilizes the message histories of a chatbot to build visualizations for usage evaluation, helping business analysts make better decisions.
Skills mobilized
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Pre-internship knowledge:
Python, Natural Language Processing (NLP), Problem solving, Communication
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Post-internship skills:
Robotic Process Automation (RPA), Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Generative AI, JIRA, Confluence, Project Management, Creativity, Cross-team collaboration, Stakeholder engagement, Adaptability