About Camille
As a Data Scientist with 2 years of experience, I am motivated and skilled with a MSc in Data Analytics specialised in Machine Learning. Throughout my career, I have had the opportunity to work with companies in a wide range of fields including marketing and real estate. My expertise in supervised, unsupervised, and reinforcement learning has allowed me to complete a variety of projects with success. My proficiency in Python, as well as my experience with ETL using pandas and SQL, have proven to be valuable assets in my projects. Additionally, I am familiar with GCP and Azure, which have proven to be useful in my work. I am young and ambitious, eager to continue developing my skills and contributing to projects as a Data Scientist.
French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Remote only
Primarily works remotely
Experience
- Cloud.IQMachine Learning EngineerDIGITAL AND ITMarch 2023 - Today (3 years and 2 months)London, UK• Designed, trained and deployed a Reinforcement Learning model on GCP leading to an average increase of 33%in recommender system Click-Through Rate (CTR).• Developed a benchmark for demand forecasting timeseries models to enhance stock and marketing campaignsoptimisation the model was learning over time.
- DATA IMMO SOLUTIONSData ScientistREAL ESTATEJune 2022 - March 2023 (10 months)• Designing and developing ETL data pipelines in Python using OOP principles to efficiently process recurring jobs.• Managing the data workflow across various databases using SQL and SQL Alchemy to ensure efficient integration and data processing.• Created the primary database table for the platform's backend by consolidating and standardizing data from 10 diverse sources, improving data accuracy and accessibility for the team.• Utilized Beautiful Soup to write web scraping scripts and gather additional information, enhancing the reliability of in-house data for data science projects.
- AcquisitAccount StrategistSeptember 2020 - July 2021 (10 months)Dubai - United Arab Emirates• Built 5 dashboards on Google Data Studio by concatenating data from Google Analytics, the client's official website and email tools to effectively monitor client performance and identify trends.• Utilized performance dashboards to optimize ROI-driven advertising campaigns daily on Facebook Manager, maximizing the effectiveness of marketing efforts through data-driven decision making.• Conducted a comprehensive newsletter analysis using key marketing KPIs as performance indicators. The outcomes of the analysis enabled me to optimize the newsletter marketing strategy based on the length of the newsletter, the type of images to include, the titles and the text organisation.
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Education
- Master's degree, Data AnalyticsUCL2022Master's degree, Data Analytics
- Bachelor's degree (Hons), Management (International Business Economics)The University of Manchester2021Bachelor's degree (Hons), Management (International Business Economics)