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Patrice Giardino

Patrice Giardino

Data Analyst with a rich career in business development /Storyteller/BI

France flagLyon, France
$70.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Agritech
Data collection / CRM
Prompt writer

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Classification
Data Collection
Prompt Response Writing SFT

Freelancer Overview

I bring a unique blend of experience in data structuring, business intelligence, and AI training environments. Over the past few years, I have led several CRM transformation projects and implemented data-driven sales operations for B2B companies, using tools such as SQL, Python, and Tableau. My work included cleaning and structuring large datasets, designing customer segmentation models, and automating data pipelines to support commercial performance. I recently completed a Data Analyst certification from MINES ParisTech, with a specialization in machine learning and AI data handling. What sets me apart is my ability to bridge the gap between business goals and data operations. I combine strong analytical skills with real-world experience in aligning sales, marketing, and customer success teams through structured data strategies. Whether it's annotating business data, building training sets for AI models, or deploying intelligent dashboards, I ensure that data is not just processed—but turned into actionable insight.

IntermediateFrenchEnglish

Labeling Experience

Voice IA

Internal Proprietary ToolingAudioAudio Recording
Record my voice for an personnal assistant

Record my voice for an personnal assistant

2024 - 2024

Red project

Internal Proprietary ToolingComputer Code ProgrammingComputer Programming Coding
Purpose: To analyse and use data to improve the results of the website. Data processing: Use of Pandas and NumPy to manage large volumes of data. Data visualisation: Exploring and communicating data with Matplotlib, Seaborn and Plotly. Data pre-processing: Techniques for managing missing values, encoding categorical variables, and normalisation. Machine learning: Research and evaluation of classification, regression and clustering algorithms using Scikit-Learn. Tools: Use of Jupyter and Colab Notebooks for supervision, final report on StreamLit. Presentation: Oral presentation to a DataScientest / MINES Paris Tech jury on 29 April 2023. Github link Project : github.com/patrice-droid/Projetfilrouge

Purpose: To analyse and use data to improve the results of the website. Data processing: Use of Pandas and NumPy to manage large volumes of data. Data visualisation: Exploring and communicating data with Matplotlib, Seaborn and Plotly. Data pre-processing: Techniques for managing missing values, encoding categorical variables, and normalisation. Machine learning: Research and evaluation of classification, regression and clustering algorithms using Scikit-Learn. Tools: Use of Jupyter and Colab Notebooks for supervision, final report on StreamLit. Presentation: Oral presentation to a DataScientest / MINES Paris Tech jury on 29 April 2023. Github link Project : github.com/patrice-droid/Projetfilrouge

2023 - 2024

Education

M

Mines executive / Datascientest

Master, Data Anlalysis

Master
2023 - 2024

Work History

P

Paradise Seeds BV

Business analyst

Amsterdam
2018 - 2024
F

Floratek

Business Analyst

Poitiers
2016 - 2018