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Still copying data from PDFs, emails, spreadsheets, or CRMs by hand? I build AI-powered workflows that automate repetitive business processes using OpenAI, Claude, Python, APIs, n8n, Make, Zapier, Airtable, Google Sheets, and Excel. My work is focused on one thing: turning messy manual operations into reliable automated systems. I can help you automate: • PDF and invoice data extraction • Email-to-CRM or email-to-spreadsheet workflows • Google Sheets / Excel reporting pipelines • AI agents for internal operations • Document classification and structured data extraction • n8n / Make / Zapier workflows • OpenAI and Claude API integrations • Data cleaning, validation, and business reporting Typical projects include: • Extracting data from hundreds of invoices into a clean Excel file • Building an AI agent that reads incoming emails and prepares structured responses • Connecting Gmail, Google Drive, Airtable, Slack, Notion, and OpenAI • Creating a workflow that validates extracted data before sending it to a CRM • Automating operational reports from messy CSV, PDF, or spreadsheet inputs I am not here to sell you “AI magic.” A good AI workflow needs clear business logic, reliable validation, proper error handling, and simple documentation. That is where I focus. My background in data science, economics, and financial engineering helps me understand both the technical side and the business side of automation. If you want a clean, practical, and maintainable AI workflow built around your actual process, send me a message with: 1. The task you want to automate 2. The tools you currently use 3. One example of the input and output you expect

Hello, I am an embedded software engineer by day and a web developer by night. In my day job, I am working in the automotive industry for more than 10 years now. I have strong experience in C and strong knowledge of c++. I have worked on interesting topics like bootloaders and secure boot features. I have knowledge in ARM cortex M4 and try to build the MCAL library in my free time. As a web developer, I have experience in PHP-based frameworks, especially Symfony and Laravel. I have worked on multiple projects at the same time, and I managed to deliver something I am proud of and meets the customer requirements.

👋 Hi, I'm Paul, an Analytics Engineer and BI Developer based in France (originally Australia). My background spans supply chain, commercial operations, and five+ years of hands-on analytics engineering on enterprise data. I understand the business problem, not just the technical one. 🔧 What I can help you with: - Building or rebuilding excel spreadsheets - Cleaning and transforming data using SQL or Power Query - Automating workflows and reports with Python or Excel VBA - Optimising database queries and performance - Building insightful dashboards in Power BI 🏆 Certifications: - Microsoft Certified: Power BI Data Analyst Associate - Microsoft Certified: Fabric Analytics Engineer Associate - Microsoft Certified: Fabric Data Engineer Associate - Microsoft Certified: Excel Expert

Welcome to my profile! “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” (Geoffrey Moore, author and consultant) I'll help you getting High Quality, Accurate work that'll add value to your business. If you decide to work with me you can expect a high level of dedication and passion in the project we do together. I will try hard to adapt my knowledge and experience to your needs and I will always put a special emphasis on a creative solution. With a Master's degree in Data Science and Engineering from Université Paul Sabatier and 3 years of experience in major French leading companies, such as SAFRAN. My journey through academic and industrial environments has allowed me to develop deep expertise in several key areas: Languages: Python, Java, C, SQL, HTML, XML, CSS, and R. Tools and Platforms: SQLDeveloper, MySQL, Talend, Jupyter Notebook, Eclipse, NetBeans, RStudio, Power BI, Spark, Tableau, AWS, Azure, and Google Cloud. Frameworks:Angular, Flask, JavaFX, Tkinter, TensorFlow, Keras, PyTorch, and pandas. Data Science and Engineering Skills: Data Manipulation and Transformation: Advanced techniques for cleaning, transforming, and enriching large datasets. Data Analysis: Expertise in statistical analysis, data exploration, and developing predictive models. Machine Learning: Developing and deploying machine learning models for classification, regression, clustering, and anomaly detection. Text Mining: Extracting and analyzing textual data to gain significant insights from large text collections. Network Mining : Analyzing networks to uncover hidden structures and relationships in connected data. ETL Processes: Expertise in data extraction, transformation, and loading to build robust and efficient data pipelines. Data Integration: Skills in integrating data from diverse sources, ensuring a consolidated and coherent view of information. Database Modeling and Structuring: Designing and optimizing relational and non-relational database schemas for optimal performance. Algorithm Development:Creating advanced algorithms to solve complex problems and improve data-driven decision-making. Code Quality:Applying MCDC (Modified Condition/Decision Coverage) principles to ensure the quality and reliability of software development. Professional Milestones: Versatile and Curious Thinker:Always exploring new technologies and methodologies to stay at the forefront of data science. Creative and Analytical:Ability to approach problems from different angles to find innovative solutions. Excellent Problem-Solving: Aptitude for solving complex challenges and effectively communicating within a team. I am passionate about applying my skills to innovative and ambitious projects, and I am constantly motivated to learn and adapt in a dynamic professional environment. While I may not have in-depth knowledge of certain software or tools, my quick learning ability and motivation ensure that I can master them swiftly.

I am a Data Scientist and ML/BI Engineer specialized in building and industrializing data & ML pipelines on Google Cloud. With 5 years of experience across large enterprises (Amazon, Equifax, SFR), scale-ups (Glovo) and multiple freelance projects in Europe, I help companies design robust data architectures, automate analytics workflows and deploy production-grade ML systems. My expertise covers the full lifecycle: • Data engineering on GCP (BigQuery, Cloud Run, Cloud Functions, Vertex AI) • End-to-end ML engineering & MLOps (model migration, training, serving, CI/CD) • BI and analytics solutions (Looker, Power BI, dbt, automated reporting) • API/Data integrations and process automation at scale Today I work through my EURL Damiani Data Consulting, supporting SMEs, scale-ups and grands comptes in modernizing their data stack and delivering actionable, production-ready solutions. 🔊​Call to Action: Feel free to contact me for data-driven solutions to your business challenges. Let's work together to turn your data into actionable insights.

I’m a Data Scientist and Actuary with 10+ years of experience helping clients build robust data infrastructure, perform in-depth analysis, and deliver impactful solutions. My background spans insurance, financial services, and AI, with notable success in projects that involve end-to-end data pipelines, dashboard creation, automation and advanced analytics. What I Bring to the Table: - GCP Data Platform Engineering: Skilled at designing and deploying scalable solutions using GCP (BigQuery, Cloud Run, Composer, Cloud Build), integrating APIs, and orchestrating data workflows. - Data Pipelines & Warehousing: Expertise in creating data warehouses (SAS, SQL, NoSQL) and ETL processes (Talend, Hadoop, Spark) to handle large-scale data efficiently. - Machine Learning & AI: Experience with advanced ML techniques, GPT-4 Turbo for unstructured data analysis, and pattern recognition algorithms to unlock hidden insights. - Financial Modeling & Risk Management: Combining actuarial knowledge with quantitative finance for regulatory reporting (Solvency 2, IFRS), pricing models, and risk assessment. - Reporting & Visualization: Building interactive dashboards (Power BI, Plotly/Dash) and automating reporting workflows to drive data-driven decisions. - Agile Methodologies & Collaboration: Led cross-functional teams, mentored junior colleagues, and delivered multiple projects on time in Agile environments. Whether it’s optimizing data flows, extracting insights from complex datasets, or implementing AI-driven solutions, my goal is to provide efficient, reliable, and high-impact data outcomes. Let’s connect and discuss how I can help bring clarity to your data challenges and empower your business with actionable insights. Feel free to reach out, I'm excited to collaborate on your next project!