akshata bhat

Abschluss: Masters, Albert-Ludwigs-Universität Freiburg

Sindelfingen, Deutschland

Fähigkeiten und Kenntnisse

Python
Java
C++
Machine learning
Deep learning
Hadoop
Pig
Hive
MapReduce
Software Development
ALM
UFT
Javascript
Artificial intelligence
J2EE
HTML
CSS
jQuery
MySQL

Werdegang

Berufserfahrung von akshata bhat

  • Bis heute 7 Jahre und 8 Monate, seit Nov. 2016

    Graduate Student

    Max-Planck-Gesellschaft, Generalverwaltung

    Graduate student working on deep learning applications to ease human effort

  • 6 Monate, Nov. 2016 - Apr. 2017

    Master Thesis Student

    Robert Bosch GmbH

    * Design and build Machine Learning applications to solve real-world problems * Experience developing Convolutional Neural Networks(CNN) for medical image analysis. * Working on unsupervised deep learning algorithms to learn meaningful feature representations * Evaluating algorithms like Jigsaw puzzle and cross channel prediction to overcome scarce labelled medical images * Proficient in deep learning libraries like Caffe, Tensorflow and Theano

  • 8 Monate, März 2016 - Okt. 2016

    Working Student

    Haufe Gruppe

    Experience in software testing of web based applications using structured methodologies * Good experience in writing Test Cases, Test Plans, executing Test Scripts, reporting defects and preparing Test Result reports * Proficient in Functional Testing tool Quick Test Professional (QTP/UFT) and HP Application Lifecycle Management (HP ALM) * Good experience on Data driven and Keyword driven frameworks in QTP

  • 2 Jahre und 5 Monate, Sep. 2012 - Jan. 2015

    Senior Software Engineer

    MindTree Ltd.

    * Create fast-speed, stable, scalable and cross-browser web-interfaces front-end HTML CSS Code for a pharmaceutical company (ALCON) * Hands on experience in designing and coding web applications using Core Java and J2EE technologies.

Ausbildung von akshata bhat

  • 2 Jahre und 6 Monate, Apr. 2015 - Sep. 2017

    Informatik

    Albert-Ludwigs-Universität Freiburg

    Cognitive system(Machine learning, Artificial Intelligence)

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

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