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Daniel KovacevicDK

Daniel Kovacevic

Data & AI Consultant | Automation & KPIs

€800/day
Avignon, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Daniel

Formerly a management controller and then a field sales representative, I spent years reading numbers, understanding margins, talking to executives, and transforming vague needs into concrete solutions.

Today, with Data Lumen, I help VSEs and SMEs better leverage their data, automate repetitive tasks, and integrate AI into their business uses.

My approach is simple: no jargon, no overly complex systems, no "pharaonic" projects. I start with your business, your real pain points, and then I build useful, understandable, and quickly deployable tools.

What I can do for you:

• Create a clear dashboard to manage sales, inventory, profit margins, customers, or activity
• Automate repetitive tasks with n8n, Python, Google Sheets, APIs, or your existing tools
• Train your teams in generative AI: ChatGPT, Claude, Gemini, and practical business uses
• Design AI agents to qualify, synthesize, extract, analyze, or assist your teams
• Audit your data/AI maturity and prioritize truly profitable actions

My deliverables are designed to be used, not just presented: dashboards, automated files, scripts, AI agents, training materials, analysis reports, or operational recommendations.

Based in Avignon, I work on-site in the South-East of France and remotely anywhere in France.

First consultation is free to define your needs and identify potential gains.
  • 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 (9 months)
    Avignon, France
    Founder of Data Lumen, I support VSEs, SMEs, businesses, and service structures 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 profit margins.

    Areas of intervention:

    • Dashboards & KPIs
    Creation of dashboards to track sales, inventory, customers, margins, 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 deviations.

    • AI Training
    Guidance 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 managerial 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 within Google Workspace, with a simple objective: to help teams understand what AI can truly bring to their daily uses, without jargon or theoretical approaches 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, managerial, and customer relations roles
    • Utilize Gemini within the Google Workspace environment to save time, structure information, improve communication, and produce clearer deliverables
    • Sensitize teams to the risks associated with data shared with AI tools: confidentiality, sensitive information, human oversight, hallucinations, and verification of responses
    • Promote progressive, responsible, and useful adoption of these new tools

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

    This mission illustrates my ability to support businesses of all sizes, from retail, VSEs, and SMEs 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 (7 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

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+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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