Sharan Srinivasan

Angestellt, Lead Consultant, LEONI AG / LEONI Kabel Holding GmbH
Student, Executive MBA, IESE Business School
Munich, Germany

Fähigkeiten und Kenntnisse

Project Management
Business Development
Business Analyst
Data Analyst
Produktmanagement
Consulting
Entrepreneurship
Decision Making
problem solving skills
Customer orientation
Leadership
Team work
International experience
Management
IT-Consulting
Product

Werdegang

Berufserfahrung von Sharan Srinivasan

  • Current 3 years and 6 months, since Dec 2022

    Lead Consultant

    LEONI AG / LEONI Kabel Holding GmbH

  • 3 years and 3 months, Sep 2019 - Nov 2022

    Technical Product Consultant

    Verisk Analytics

  • 1 year and 9 months, Dec 2017 - Aug 2019

    Sales Operations Consultant

    Elsevier GmbH

  • 1 year and 7 months, May 2016 - Nov 2017

    Business Data Analyst

    McAfee Germany GmbH

  • 7 months, Jul 2015 - Jan 2016

    Master Thesis

    econworks GmbH

    •Customer focus and services for Vodafone •Working on Statistical Media Modelling, KPI & Data Forecasting. •Creating and implementing hypothesis and patterns over Vodafone data, calendar, weather. •Data analysis on Vodafone Media and Vodafone shops. •Data landscape using Data Analytics & Data visualization. • Software Used: Postgres, Stata & Tableau

  • 3 months, Apr 2015 - Jun 2015

    Intern

    econworks GmbH

    • Working on Business Intelligence ideas for Vodafone. • Working on Statistical Media Modelling. • Creating and implementing hypothesis on real time. • Data analysis on telecommunication. • Data Analytics & Data visualization using: Postgres, Stata & Tableau.

  • 6 months, May 2014 - Oct 2014

    Working Student

    Hochschule Darmstadt

    Data analysis, data preprocessing, visualization for Toplink GmbH (Telecommunication) Machine Learning: Supervised Learning, Unsupervised Learning Data mining techniques: Cluster analysis, Classification Predictive Analytics: Regression, Decision Trees

  • 1 year, Nov 2011 - Oct 2012

    Junior Data analyst

    The Advisory Board Company

    • Work on complex SQL queries to deal with the business requirements. • Ability to analyze and understand the data that could support decision making. • Performed data manipulation/ transformations on a regular basis. • Identified and resolved any technical issues raised on the above two processes. • Generated various reports and trends using data sets.

Ausbildung von Sharan Srinivasan

  • Current 1 year and 9 months, since Sep 2024

    Executive MBA

    IESE Business School

  • 5 months, Aug 2014 - Dec 2014

    Masters in Computer Science

    University of Wisconsin-Platteviile

  • 2012 - 2014

    Masters in Computer Science

    Darmstadt University of Applied Sciences

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

  • Hindi

  • Tamil

  • Telugu

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