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Fedja CicicFC

Fedja Cicic

Data Scientist | Python, Machine Learning & BI

255 €/Tag
Tilburg, NL
0-2 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Fedja

You need data that drives decisions, not reports that gather dust. I help companies turn complex operational and business data into simulation models, machine learning pipelines, and dashboards that your sales, technical, and leadership teams can actually use.

During my time at Philips International and Abbott Diagnostics, I delivered exactly this. At Philips, I built Python-based capacity planning and scenario simulation models deployed across hospital networks in eight countries, used directly in client pitches. At Abbott, I developed a competitive sustainability benchmarking platform from scratch, analyzing 15 diagnostic machines across four rivals, adopted by three departments to support client acquisition and marketing campaigns.
I work across the full data pipeline, from raw analysis and predictive modelling to interactive Power BI dashboards and Plotly Dash applications, and I communicate results clearly to both technical teams and C-level stakeholders.

Typical projects I take on:
— Python simulation and scenario modelling
— Machine learning models for prediction and classification
— Power BI and Plotly Dash dashboard development
— Competitive data analysis and business intelligence
— NLP and text analytics pipelines

Based in the Netherlands. Available for remote and on-site missions across the Netherlands. Fluent in English, elementary Dutch and German.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Niederländisch

    Konversationssicher

  • Deutsch

    Konversationssicher

  • Serbisch

    Muttersprachlich oder zweisprachig

  • Kroatisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Tilburg (bis zu 50 km), Amsterdam (bis zu 50 km)

Projekt- und Berufserfahrung

  • Abbott B. V. | Core Diagnostics
    Data Analyst
    DIGITALAGENTUREN & IT-CONSULTING
    September 2024 - März 2025 (6 Monate)
    Amsterdam, Niederlande
    During my time at Abbott B.V. Core Diagnostics, I developed a comprehensive competitive sustainability analysis benchmarking 15 diagnostic machines across four rival companies, measuring energy consumption, heat output, water use, and waste. Built entirely from scratch over six months using Plotly Dash, pandas, and NumPy, the resulting interactive simulation platform allowed users to model different operational scenarios based on configurable inputs such as working hours and usage load. The tool was adopted by the sales, technical solutions, and marketing teams to support client acquisition and commercial campaigns, giving Abbott a structured, data-driven way to demonstrate product advantages over competitors.
    Python Dash Data visualization Business intelligence Machine learning
  • Philips International B.V. | Consultancy IR
    Data Modelling Analyst
    DIGITALAGENTUREN & IT-CONSULTING
    Oktober 2025 - April 2026 (6 Monate)
    Amsterdam, Niederlande
    During my time at Philips International B.V., I developed Python-based scenario simulation and capacity planning models for hospital networks across five countries. These models were used directly by account managers in client pitches, enabling them to quantify staffing and equipment requirements with data-driven precision. Alongside this, I produced structured analytical reports that helped identify upsell opportunities within existing client accounts. I also designed Power BI dashboards tracking team KPIs and project outcomes for C-level leadership, which became a standard tool in executive review cycles.
    Python Microsoft Power BI Data analysis Scenario Simulation Data visualization

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Ausbildung und Abschlüsse

  • BSc Data Science
    Eindhoven University of Technology
    2025
    BSc Data Science
  • Gymnasium "Slobodan Škerović"
    2022

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