Celia Clements

Xconnectors team: Maintenance of scraping/API bank connectors by rapidly fixing critical bugs.

Created an in-house CV extraction system with LLMs, saving €10,000 annually Conducted R&D for data exploration, clustering, and transformation, testing on 5,000 CVs with a BART text-to-JSON model. Built a job validation module based on hexagonal architecture for efficient job approval workflows. Developed key features such as a calendar system, one-click rejection, and customisable notifications with adjustable colour schemes. Played a crucial role in providing robust technical support & proficiently refactored legacy code into optimised and reusable modules. Technology used: Python, CSS, javascript, Flask, MySql, XML, Docker, Bootstrap

Projects: POC Chatbot for Acoss: - Creation of a demo chatbot using the Microsoft Bot Framework in C# - Microsoft cognitive services : LUIS - The aim of the chatbot is to aleviate the number of calls to the technical help desk by treating 6 common use cases. Demo Chatbot for the Microsoft Envision event: - Microsoft Bot Framework in C# - Microsoft cognitive services : LUIS FAQ Corona Virus Chatbot: - Microsoft QnA Maker Internal Project: -Power BI + MS Excel

A 7 month artificial intelligence bootcamp (Simplon & Microsoft) followed by a 12 month contract at DXC Technology. Projects: Job market analysis: vacant jobs in 2019 in 5 French cities(Paris, Lyon, Toulouse, Lille and Nantes): - Web scraping of Indeed.fr using Python - Data extraction: Job title, role, skills needed, salary, experience - Salary Prediction for offers that didn't contain this information. Machine learning models : SVM and Random Forest Telephone Voicebot: - Coding from scratch a voicebot capable of calling phone numbers, asking a series of questions and saving the answers - Using Python, Twilio, Dialogflow, MongoDB Telecom Operator - analysis of 400 shops' data - Prediction of phone accessory sales using time series machine learning algorithms - Evaluation of the prediction algorithms - Preprocessing of a large dataset of 5 million lines - Data visualisation Text generation with deep learning (RNN , LSTM)

Organising a two-week summer program in Paris for 40 students from France and Japan. Translation and Interpreting French→English→Japanese Organising activities, conferences and outings during the year Creating and maintaining professional relationships with businesses, sponsors and international institutions + Fundraising of 8000 euros Recruiting new members and 20 host families + Social media management