Florent KoziolFK
Open to opportunities

Florent Koziol

@florentkoziol

Data analyst with expertise in cloud architecture and data visualization.

France
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What I'm looking for

I seek a role that fosters growth, encourages innovation, and values data-driven decision-making.

As a data analyst and engineer with extensive experience in cloud architecture, I have successfully managed projects at the Ministry of Finances in Paris. My expertise lies in Python programming, data ingestion, and lifecycle management, where I have developed automated data deletion reports and built proof of concepts for data storage solutions using Docker.

Throughout my career, I have collaborated with various teams, including business and legal, to ensure data conformity and develop technical solutions that streamline processes. For instance, I transformed a time-consuming Excel macro into a user-friendly Streamlit app, significantly reducing processing time. My experience spans multiple industries, including luxury, energy, and defense, where I have honed my skills in data visualization using tools like Power BI and R.

I am passionate about training teams with no data skills and have successfully implemented agile methodologies to prioritize projects based on business needs. With a strong foundation in machine learning and data governance, I am committed to delivering impactful insights and fostering a data-driven culture within organizations.

Experience

Work history, roles, and key accomplishments

MF
Current

Data Analyst/Engineer

Ministry of Finances

Sep 2023 - Present (1 year 10 months)

As a Data Analyst/Engineer, I focused on data ingestion, lifecycle management, and building POCs for data storage solutions. I utilized Python and Google Cloud Platform to manage projects and train business teams on data visualization tools while ensuring data compliance with regulations like GDPR.

Education

Degrees, certifications, and relevant coursework

Université Gustave Eiffel logoUE

Université Gustave Eiffel

Master's degree, Data Science

2020 - 2021

Master D2SN (Data Science et Société Numérique) with a focus on machine learning techniques such as regression, PCA, K-means, and natural language processing methods including tokenization, topic modeling, and sentiment analysis.

Université Paris Nanterre logoUN

Université Paris Nanterre

Master's degree, Social Psychology

2013 - 2018

Masters degree in Social Psychology, research-oriented, focusing on marketing, prevention, and workforce-oriented psychology. Involved in research methodology, including reading and summarizing scientific papers and writing essays.

Tech stack

Software and tools used professionally

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