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Laetitia C.LC

Laetitia C.

Data Engineer/ Data Analyst/ Business Intelligence

€560/day
8 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Laetitia

I have 6 years of experience in the data field, I have worked on the different stages of a data project and I master the data creation and management part as well as the data visualization and analysis part. I have worked on the technical side as well as the functional side, I have often been in direct contact with the business.

I mainly work on the following technologies:
-SQL (PostgreSQL, SQL Server)
-Python
-ETL (Talend)
-Data Visualization (Power BI)


I am available for long and short term assignments.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

Can work on-site
Paris (up to 15km)

Experience

  • TotalEnergies
    Data Analyst
    ENERGY AND UTILITIES
    January 2023 - Today (3 years and 5 months)
    Microsoft Power BI Python (programming language)
  • Senettis
    SQL / Java Developer
    DIGITAL AND IT
    March 2022 - September 2022 (6 months)
    Context:
    Senettis is a small cleaning company that had no system for managing its data. The project therefore consisted of implementing a database and a User application to add or modify elements in the database. The goal was to store all company information (employees, projects, expenses, etc.) and to calculate the profitability of each project.

    Achievements:

    *Definition of user needs*:

    • Needs gathering
    • Needs analysis and prioritization

    *Database Creation*:

    • Database modeling
    • Database implementation (SQL Server)

    *Adding data to the Database (Talend)*:

    • Retrieval of existing data (Excel)
    • Data cleanup
    • Addition to the database

    *User Application Development (Java)*:

    • Creation of Employee and Project Modules to store/modify/delete employees and projects
    • Creation of Supply, Equipment, and Product Modules to store/modify/delete products and equipment used
    • Creation of the Assignment Module to assign an employee to a project occasionally or for a given period
    • Creation of the Delivery Module to group products and equipment delivered to each project
    • Creation of Turnover and Profitability Modules to easily view and analyze figures per project to identify potential problems

    *Monitoring and fixes*:

    • User training
    • Potential fixes

    Results:
    • Data centralization: simplified management, improved data quality and security
    • Automated monitoring and alerts (e.g., salary modification based on seniority, change of necessary equipment)
    • Automation of the financial indicator calculation process (e.g., turnover calculation, project profitability calculation to check if projects are profitable and identify the most and least profitable ones)

    Technological stack and tools used:
    • Versioning:Git
    • Database:SQL Server, Talend
    • Data visualization:Power BI
    • Development:Java
    SQL SQL Server Java Talend Microsoft Power BI Git Transact-SQL Talend Open Studio Power BI
  • Colas
    Business Intelligence Consultant
    CIVIL ENGINEERING
    December 2020 - February 2022 (1 year and 3 months)
    Vélizy-Villacoublay, France
    **Context**:

    At Colas DS, I joined the team responsible for Finance reporting. Our goal was to manage all reports related to COLAS financial data, from database construction to user training on visualization tools.

    **Achievements**:

    *Creation of a new data cube*:

    • Needs gathering
    • Needs analysis and prioritization
    • Modeling of dimensions and fact tables
    • Table creation(SQL Server)
    • Testing and corrections

    *Creation of aPower BIreport based on cube data*:

    • Needs gathering
    • Needs analysis and prioritization
    • Creation of a first version of the report(Power BI, DAX)
    • User workshops: Visual modifications
    • Final report construction(Power BI, DAX)
    • Deployment and user communication

    *Creation of aPower BIreport based on files*:

    • Needs gathering
    • Needs analysis and prioritization
    • Creation of a first version of the report(Power BI, Python script to format data correctly from the file, DAX)
    • User workshops: Visual modifications
    • Final report construction(Power BI, Python, DAX)
    • Deployment and user communication

    *Evolution of data or visuals*:

    • Needs gathering
    • Modeling of dimensions and/or fact tables to add
    • Table creation (SQL Server)
    • Testing and corrections
    • PBI visual modifications (Python, DAX)
    • Deployment and user communication

    **Results**:

    • Quick identification of late invoices and blocking points in processing thanks to the creation of a report to track invoice payment progress
    • Monitoring of the company's agencies' Turnover, Revenue, and Expenses
    • Easier identification of data entry anomalies thanks to the creation of a report
    • Consolidation of data to eliminate diverse sources for similar data

    **Technological stack and tools used**:

    • Project Management:Azure Devops
    • Database:SQL Server
    • Data visualization:Power BI
    • Development:Python, DAX
    Microsoft Power BI Python DAX Data Modeling Azure DevOps

Reviews

4.0

Out of 1 rating

E

Erwann

Kallista Energy

Reviewed on 2/27/2023

As it was a single day for support on a pre-project, it is difficult to elaborate on comments, but Laetitia usefully enlightened us on aspects we had not identified in our project.

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Education

  • Master MIAGE apprenticeship
    Dauphine
  • Bachelor MIAGE apprenticeship
    Dauphine

Certifications

Skill set (32)

Categories