Descripción

A graduate of MSc in Data Science with 9+ years of international experience as a Senior Data Analyst in various industries ranging from tech to international finance and transportation & logistics services. Proficiency in platforms and languages such as Python, R, SQL, MS Azure, Apache Spark, dbt, Snowflake, Power BI, and more.

Core strengths include:

• Data Science • Machine Learning • Natural Language Processing • Data Analytics • SQL • Fraud Detection • Blockchain

Ámbito de especialización en el sector

Idiomas

Inglés
Competencia profesional completa
Español
Competencia profesional básica
Rumano
Bilingüe o nativo

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

Maersk
Data Scientist
HIGH TECH
mayo de 2023 - Hoy (3 años y 1 mes)
Barcelona, España
Responsibilities:
Coordinate the ingestion to Azure data lake of all local data and BI solutions for 13 terminals from Africa and Europe, including building the inventory files, assessing technical challenges, and building post-migration visualizations
Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges
Analyze large amounts of complex data to extract insights and drive decision-making
Machine learning pyspark SQL data ingestion Microsoft Azure
Superside
Senior Data Analyst
HIGH TECH
octubre de 2022 - abril de 2023 (7 meses)
Barcelona, Spain
Main Achievements:
Assessed the relationship between the scores obtained by the candidates at Cognitive tests during the recruitment process and their subsequent performance in the company
Developed a multi-tab dashboard in Thoughtspot (including logic attribution, modelling, BI, and rollout plan), updated daily from Snowflake DB, to reflect the performance of the company’s employees for better measurement accuracy.

Responsibilities:
Develop 360º analyses related to multiple areas impacting customer metrics and the overall evolution of the company's capabilities
Build structures and visualizations to monitor and analyze project delivery bottlenecks, delays, wait-time, iterations, staffing, team utilization, and more.
Microsoft Power BI dimensional modelling dbt SQL Python
National Bank of Romania
Economist
BANCA & SEGUROS
noviembre de 2018 - junio de 2022 (3 años y 7 meses)
Bucharest, Romania
Main Achievements:
Elaborated an econometric research paper on the impact of structural reforms on growth and productivity with a particular focus on Romania under its IMF agreements
Analysed the ROBID/ROBOR data and IRCC financial benchmarks in the context of LIBOR transition to alternative risk-free rates
statistics spss modeller