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Daniel KovacevicDK

Daniel Kovacevic

Data & AI for SMEs — KPIs & Automation

€650/day
Avignon, FR
8-15 years

Average response time: 1 hour

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About Daniel

I help SMEs and VSEs turn their data into decisions — without unnecessary complexity. Dashboards, repetitive task automation, concrete AI integration into your processes.

My background makes the difference: former management controller and field sales representative, I speak ROI, margin, and time saved first — not tech for tech's sake. I start with your business problem and deliver a tool that your teams actually use.

Concrete example (Kliners): I replaced 12 Excel files with a web application featuring machine learning-based staffing forecasts → -40% planning time and -18% overstaffing.

What I can do for you:
• Dashboards & KPIs (clear, real-time steering)
• Time-consuming task automation (Python, n8n)
• Generative AI integration & training for your teams
• Simple and actionable predictive models

How I work: I always start by understanding your needs, I propose the simplest solution that works, and I train you to be autonomous. Response within 1 hour.

Have a project, even a vague one? Write to me, we'll explore it together.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Avignon (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Toulon (up to 50km), Montpellier (up to 50km)

Experience

  • Data Lumen
    Data & AI Consultant 📊 — Dashboards · Automation · AI Agents | SMEs & VSEs | Avignon · PACA
    CONSULTING AND AUDITS
    September 2025 - Today (11 months)
    Avignon, France
    Founder of Data Lumen, I support VSEs, SMEs, businesses, and service organizations in the practical use of their data, AI, and automation.

    My role: transforming files, scattered tools, and repetitive tasks into simple solutions to better manage business, save time, and improve margins.

    Areas of intervention:

    • Dashboards & KPIs
    Creation of dashboards to track sales, inventory, customers, margins, business activity, productivity, and operational indicators.

    • Business Automation
    Elimination of repetitive tasks with Python, n8n, Google Sheets, APIs, Telegram alerts, automatic reporting, and connected workflows.

    • Generative AI & AI Agents
    Design of agents to qualify leads, synthesize documents, extract information, assist teams, or structure data.

    • Predictive Analysis
    Forecasting models to anticipate operational needs: staffing, sales, workload, weak signals, or performance drifts.

    • AI Training
    Coaching for managers and business teams on the practical use of generative AI: ChatGPT, Claude, Gemini, prompting, data security, limitations, and best practices.

    Examples of achievements:
    • Sales dashboard to analyze customers, sales, inventory, and seasonality
    • Predictive model to anticipate staffing needs and reduce overstaffing
    • Generative AI training for administrative and management teams
    • Automation of lead qualification, reporting, and operational alerts

    Objective: deliver tools that are used, not technical demonstrations forgotten in a file.
    Python Machine Learning Automation Business Intelligence Artificial Intelligence
  • Euroclean Groupe
    Generative AI Trainer for Business Teams
    ENVIRONMENTAL
    April 2026 - April 2026
    Morières-lès-Avignon, France
    Training of 8 employees from Euroclean Group on the practical use of generative artificial intelligence in a professional context.

    The mission focused on mastering Gemini and Gemini in Google Workspace, with a simple objective: to help teams understand what AI can truly bring to their daily tasks, without jargon or a theoretical approach disconnected from the field.

    Training objectives:

    • understand the principles, strengths, and limitations of generative AI
    • learn to formulate effective requests through prompting best practices
    • identify useful use cases for administrative, HR, accounting, management, and customer relations roles
    • leverage Gemini within the Google Workspace environment to save time, structure information, improve communication, and produce clearer deliverables
    • educate teams on the risks associated with sharing data with AI tools: confidentiality, sensitive information, human oversight, hallucinations, and response verification
    • promote gradual, responsible, and useful adoption of these new tools

    The session was built around concrete examples, practical exercises, and discussions with employees to address their real needs.

    This mission demonstrates my ability to support businesses of all sizes, from small shops and VSEs to larger organizations, with administrative, managerial, and operational teams.
    AI Training Artificial Intelligence Generative AI Google Workspace Prompt Engineering
  • Kliners
    HR Platform with ML Forecasting
    HOSPITALITY
    November 2025 - Today (9 months)
    Avignon, France
    Replacement of 12 Excel files with a web application featuring machine learning for personnel needs forecasting. -40% planning time, -18% overstaffing. Stack: React, FastAPI, PostgreSQL, scikit-learn.
    Machine Learning Python Business Intelligence KPI Dashboards

Recommendations

SE
FC
ED
+1
Sylvie Edin and 3 other people have recommended Daniel

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Certifications

  • Data Analyst & AI
    La Capsule
    2025
    AI Agents Data Visualization Agile methodology KPI Dashboards Data Analysis Machine Learning Data Science Databases

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