Conny C. Brintzinger

ist kurz vor dem Abschluss. 🎓

Bis 2024, Werkstudentin - Process Mining / Data Science, Eviden - an atos business

Berlin, Deutschland

Über mich

We are surrounded by a growing amount of data and information. I am fascinated by the resulting possibilities to find decisive patterns in data, to optimize processes and to get answers to central questions. I am convinced that a better understanding through data analysis leads to efficient, resource-saving and future-oriented technologies. My studies have given me a broad basis in data science and business analytics with a focus on AI/ML. As a working student at Eviden, I was able to successfully apply my knowledge in challenging projects. One core topic was the identification of optimization potential using process mining. In the course of this, I completed extensive Celonis trainings and gained practical experience. A strong retail, e-commerce and marketing background enables me to capture, extract and analyze business processes holistically. This closes the circle to my basic belief that continuous optimization and efficiency improvement is the way forward.

Fähigkeiten und Kenntnisse

Data Analysis
Data Science
Data Mining
Big Data
Business Intelligence
Digitalisierung
Python Programmierung
Artificial intelligence
Celonis
Process mining
R
Tableau
Git
Machine Learning
PostgreSQL
SQLite
TensorFlow
Scikit-Learn
Statsmodels
eCommerce
Marketing
Netzwerk
Kommunikationsfähigkeit
Teamfähigkeit
Engagement
Flexibilität
Selbstmanagement

Werdegang

Berufserfahrung von Conny C. Brintzinger

  • Bis heute 6 Jahre und 9 Monate, Okt. 2017 - Juni 2024

    Freiberufliche Fotografin

    Conny Brintzinger / Freelancerin

  • 1 Jahr, Mai 2023 - Apr. 2024

    Werkstudentin - Process Mining / Data Science

    Eviden - an atos business

  • 11 Jahre und 1 Monat, Sep. 2006 - Sep. 2017

    Inhaberin

    The Feisty Cat Store

    Label & Onlineshop

Ausbildung von Conny C. Brintzinger

  • 3 Jahre und 9 Monate, Okt. 2020 - Juni 2024

    Data Science and Business Analytics (B.Sc.)

    Digital Business University, Berlin

    Studieninhalte: - Grundlagen BWL und Informationstechnologie - Strategisches Management, Marketing, Data Modeling, Data Mining, Business Intelligence, Big Data Management - statistische Verfahren zur datengetriebenen Analyse - Machine Learning und Artificial Intelligence (Schwerpunkt) - Visualisierung Bachelor: "Schlüsselfaktoren zur Steigerung des Photovoltaik-Ausbaus in Deutschland" Erwartete Bewertung und Exmatrikulation: Juni 2024

  • 3 Jahre, Sep. 1998 - Aug. 2001

    Handelsassistentin

    BZE Springe

Sprachen

  • Deutsch

    -

  • Englisch

    -

Interessen

Fotografie
Reisen
Pilates

21 Mio. XING Mitglieder, von A bis Z