Nupur Kulkarni

Studentin, Master in Applied Data Science, Frankfurt School of Finance & Management
Frankfurt Am Main, Deutschland

Fähigkeiten und Kenntnisse

Python-Programmierung
Scikit-Learn
Numpy
Pandas
Tensorflow
Keras
Jupyter Notebook
SAP Business Intelligence (SAP BI)
SAP BO
Tableau Software
Engine

Werdegang

Berufserfahrung von Nupur Kulkarni

  • 1 Jahr und 2 Monate, Apr. 2017 - Mai 2018

    Technical Consultant

    Tata Technologies Limited

    Developed and delivered 2 projects for Tata Motors Ltd. My responsibilities: - SAP BW 7.4, BO 4.1, Xcelsius, SAP BEx Analyzer, Qlikview - Enhanced transaction and master data as and when required. - Gathered requirement - Developed DSI (Day Sales Inventory)/DSO (Day Sales Outstanding) report and dashboard to display how well a company’s account receivables were being managed. - Rolled out all the projects across plants for Tata Motors, starting with Pune CVBU.

  • 2 Jahre und 1 Monat, März 2015 - März 2017

    SAP Business Intelligence/Business Objects consultant

    Experis IT Pvt. Ltd

    - Worked extensively on SAP BW 7.4, SAP Business Objects Web Intelligence 4.1. - Monitored the incidents, Change Requests and issues with the help of BMC Remedy Tool. - Created business user’s IDs & authorization of the respective reports and dashboard in enterprise portal. - Independently handled ISO – 9001 and CMMi Quality Audit. - I was a member in the application maintenance team serving Mercedes Benz India Limited - Attended Power BI training.

  • 7 Monate, Jan. 2014 - Juli 2014

    Trainee Engineer

    Greaves Cotton Ltd.

    - Worked on improper functioned engine based on client feedback. - Documentation of approach and activities of engine testing. Project: Testing & Documentation of approach & activities of engine testing and emission optimization using “Electronic fuel injection system”.

Ausbildung von Nupur Kulkarni

  • Bis heute 6 Jahre und 10 Monate, seit Sep. 2018

    Master in Applied Data Science

    Frankfurt School of Finance & Management

    Introduction to Data Analytics, Computational Semantics - Data Structures and Algorithms, Quantitative Fundamentals, Machine Learning I, Deep Learning, Managing, Storing and visualizing Big data, Business Statistics for problem decomposition and analysis.

  • 5 Jahre und 1 Monat, Aug. 2009 - Aug. 2014

    Production engineering

    Maharashtra Institute of Technology

    - GPA: 2.6 (Percentage: 68%) - Team member in the college team participated in intercollegiate competitions run by Society of Automotive Engineers (SAE), BAJA SAE and SUPRA SAE.

Sprachen

  • Deutsch

    Grundlagen

  • Englisch

    Fließend

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