Freelancer profile translated to English.
Back to original languageAbout Lucas
Consultant for over 7 years, I enjoy working on all types of data-related projects.
The large number of projects (startups, SMEs, large groups) completed within expert consulting firms gives me a clear vision on the best way to address your data challenges.
Fullstack, with comprehensive training in development (data science & data engineering), allows me to bring the necessary technical expertise for efficient execution.
I can support and train you on:
âś… DATA COLLECTION: APIs, Scraping, Tagging plans, Cookieless (CAPI, Enhanced Conversion), GDPR compliance
âś… ENGINEERING: Setting up Cloud data architectures (Modern Data Stack), pipelines, data processing, transformation, and orchestration processes (Airflow, DBT, SQL).
âś… STORAGE: In data warehouses (BigQuery, Azure, Snowflake, Redshift), data lakes (S3/GoogleCloudStorage), or relational databases (PostgreSQL/MySQL).
âś… VISUALIZATION: Dashboards (Data Studio, Looker, Dash) or Web.
âś… ACTIVATION: CRO, A/B Testing, Personalization, Customer Data Platform, Traffic Acquisition, Marketing Mix Modeling, Modeling.
For a successful project, I pay particular attention to:
➡️ Precisely defining the scope from the brief to the invoiced amount (context, methodology, deliverables, deadlines, and costs).
➡️ Communicating frequently on project progress and implemented solutions.
➡️ Explaining and documenting the work performed.
Always available and happy to discuss your projects!
Web Analytics • Google Analytics • GA4 • Google Tag Manager • GTM • Tagging Plan • Matomo • Analytics Consultant • Conversion Rate Optimization • Tracking • Tag Management • Dashboards • Reporting • UA • User Experience • Google Tag Manager • GDPR • GTM • AT Internet • Piano • Didomi • Piwik • Tableau • Tag Commander • Reporting • Dashboarding • Dashboard • Analytics Engineer • DBT • ETL • CRM
French
Native or bilingual
English
Fluent
Spanish
Conversational
Can work on-site
Paris (up to 50km)
Experience
- ACCORData & Analytics EngineerHOSPITALITYJanuary 2024 - May 2024 (5 months)Support in the combined migration of Accor's data (data warehouse and analytics source) as a full-time freelancer.âť– Migration of the GCP data warehouse to Snowflake.âť– Migration of the GA3 data source to GA4 and associated flows (internal tool).âť– Integration of the source into existing transformation layers.âť– Sessionization of events and reconstruction of sequence segments with high data volume constraints.âť– Modeling of fact and dimension tables to update dashboards.âť– Creation of datamarts to update dashboards (Tableau).âť– Creation of datamarts to feed activation scenarios via reverse ETL (Hightouch).
- M13H |Â Data Marketing & technology consultingSenior Data Engineer & Analytics EngineerCONSULTING AND AUDITSJuly 2022 - August 2023 (1 year and 1 month)Paris, FranceAs a Consultant - Data science & analytics engineer at M13h, I design and implement data pipelines, integrate data from various sources, and build data infrastructure for high-performance data analytics.We use technologies such as Python, SQL, and Cloud (GCP / AWS) to deliver value to our clients through data-driven insights and solutions.Implementation of Customer Data Platform (CDP) on different cloud environments (GCP, AWS & Azure). Creation and industrialization of different micro-services:âť– ETL for ingesting raw data sources (transactions, CRM, web, products...) within a data warehouseâť– Transformation of raw data via a SQL workflow using the DBT frameworkâť– Realization of different marketing use cases (modeling, reporting, activation)
- ELEVATE | Agence Data & Technologies MarketingSenior Data Consultant (Marketing, Engineering & Science)CONSULTING AND AUDITSJanuary 2020 - June 2023 (3 years and 6 months)Paris, FranceDATA COLLECTIONâť– Auditing on Google Analytics, and TMS (Google Tag Manager & Tag Commander ... ) to ensure reliable data exploitation and collection.âť– Tool setup and configurations: Google Analytics, Google BigQuery, AT Internet, Google Data Studio, Tag Commander & Google Tag Manager)âť– Redaction of tracking plans to expand the range of data collected. DATA ENGINEERING & SCIENCEâť– Data pipeline development: Designing, implementing, and optimizing data pipelines.âť– Data modeling: Modeling data for data science projects, using techniques such as regression, factor analysis, and machine learning.âť– Data analysis: Analyzing data for companies in various industries, using analysis techniques such as descriptive analysis, exploratory analysis, and survival analysis.DATA ANALYSIS & ACTIVATIONâť– Data Visualization: through Google Data Studio, Looker, Reeport and automated tablesâť– Conversion Rate Optimization (CRO): A/B Testing, tracking and optimization of conversion's funnelsâť– Performance measurement: definition of relevant KPI. (campaigns, audience, user's behavior)CONSULTING & MANAGEMENTâť– Project management : Definition of goals, planning, expressing and understanding needs.âť– Ressource management : Identification of needs and attribution of human ressourcesâť– Internal & external ressources training & upskillingâť– Commercial Offer and Sales: Developing and structuring commercial offers for consulting services, and participating in sales processes by preparing presentations and commercial proposals.
Reviews
J
Jessica
MCC ADQUALITY
Reviewed on 10/17/2023
Available, attentive, and very involved, Lucas was impeccable on the GA4 & BigQuery training mission entrusted to him. It was a pleasure to work with him, and I will not hesitate to call on his services for future missions. I recommend Lucas without hesitation!
Aurélien
Refraction
Reviewed on 12/5/2023
Recommendations
FU
FU
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Education
- LEAD - Data Science & EngineeringJedha Bootcamp2023Formation aux notions de pointe du data-engineering (120 heures) âť– Deployment & distributed ML : Docker, Kubernetes, Ray âť– Reinforcement learning : Rlib, Gym OpenAI âť– Data Pipelines : Airbyte, Kafka, Neo4J âť– Automation & Workflows : Airflow, Zapier + Projet data-science
- FULLSTACK - Data Science DesignerJedha Bootcamp2022Formation aux notions avancées de la data science (500 heures): ❖ Exploratory data analysis : Data Manipulation, Statistics and Seaborn, Distributions and Matplotlib, Interactive Graphs ❖ Data Collection and Management: Web Scrapping, Data Storage on AWS & GCP, ETL Processes ❖ Big Data : Distributed Computing with Spark SQL, PySpark & DataBricks ❖ Supervised ML : Pre-Processing, Linear regressions, Regularization and Hyperparameter Optimization, Logistic Regression, Decision Trees and Random Forest, SVM, Ensemble Learning, Model Selection and Evaluation, Time Series ❖ Unsupervised ML : KMeans, DBSCAN, Dimensionality Reduction, Natural Language Processing NLP, Topic Modeling ❖ Deep Learning : Gradient Descent, Introduction to neural networks, Introduction to tensorflow, Convolutional Neural Network, Transfer Learning, GAN, Word Embedding, Text Classification, Encoder Decoder ❖ Deployment : Docker, Dashboarding with Dash, MLFlow, Conda, Flask, SageMaker + Projet data-science
Certifications
- dbt FundamentalsDBT2023
- Commander Act CertificationCommanders Act2020