Ray VERA

Data Scientist

Salaire / Taux journalier

Neuilly-sur-Seine, France

Freelance, ouvert au CDI

Peut venir sur site

Expertises

PythonData ScienceData AnalysisBase de donnรฉes SQLDeep LearningMATLABPostgreSQLPower BIGitGrafanaLLMs / Large language modelsData VizualizationETLOracle DatabaseMongoDBGoogle Cloud PlatformMySQLSAP HANATableauRequรชtes SQLGoogle BigQueryLinuxSupabaseGitHubZapierOracleMakeNotionAirtableMachine LearningIA

Langues

AllemandAnglaisDanoisEspagnolFranรงais

ร€ propos

Introduction

Jr. Data Scientist with hands-on experience in financial analytics and process automation at Rail Logistics Europe. Achieved 85% reduction in processing time through ETL automation with BigQuery and Tableau. Specialized in predictive modeling, dashboard development, and machine learning solutions for business optimization.

Liens

Expรฉrience de travail

Data Scientist

Rail Logistics Europe

sept. 2023 - oct. 2024

1 an 2 mois

93400 Saint-Ouen-sur-Seine, France

๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป, ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น๐—ถ๐—ป๐—ด ๐—ผ๐—ณ ๐—ณ๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ถ๐—ฎ๐—น ๐—ฎ๐—ป๐—ฑ ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ to generate insights that facilitate decision-making in financial areas such as contribution margin and operational KPIs in the railway sector. โ€ข ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ผ๐—ณ ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ฒ๐˜€: Development of VBA macros and algorithms to extract multidimensional data from systems like Oracle/SAP S/4HANA. The automation of these tasks reduced processing time by 85%, using an integrated ETL pipeline with BigQuery and Tableau Software. โ€ข ๐——๐—ฎ๐˜๐—ฎ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฎ๐—ป๐—ฑ ๐—•๐—œ: Creation of data flows with Tableau Prep Builder, data cleaning and restructuring for optimal analysis in Tableau Desktop. Development of interactive dashboards in Tableau, Looker Studio, and Power BI. โ€ข ๐—™๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ถ๐—ฎ๐—น ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€: Contribution margin analysis by contracts, corridors, and business sectors of entities, identifying strengths and weaknesses to optimize investments and markets in railway infrastructure. โ€ข ๐—”๐—œ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐˜‚๐—น๐˜๐˜‚๐—ฟ๐—ฒ: Promotion of AI use and BI tools for financial data analysis, along with statistical studies to identify relevant correlations and define future operational KPIs.

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