Deep Learning / Machine Learning Expert

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Umkreis (bis 200 km)
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125€/Stunde
90763 Fürth
01.09.2018

Kurzvorstellung

Deep Learning / Machine Learning Expert

Ich biete

IT, Entwicklung
  • Jira
  • Python
  • SCRUM
  • Machine learning
  • Agile Entwicklung
  • Big Data
  • Git
  • SQL
Forschung, Wissenschaft, Bildung
  • Data Science

Projekt‐ & Berufserfahrung

Data Scientist
Kundenname anonymisiert, Herzogenaurach
9/2017 – 12/2017 (4 Monate)
E-Commerce / Fashion
Tätigkeitszeitraum

9/2017 – 12/2017

Tätigkeitsbeschreibung

Predictive modeling

Eingesetzte Qualifikationen

Tableau, MicroStrategy, R (Programmiersprache), Machine learning, Big Data, SCRUM, Agile Entwicklung, Python, Jira


Deep Learning Expert / Machine Learning Engineer
Kundenname anonymisiert, Nürnberg, Berlin, Karlsruhe
1/2014 – 8/2017 (3 Jahre, 8 Monate)
E-Commerce
Tätigkeitszeitraum

1/2014 – 8/2017

Tätigkeitsbeschreibung

Deep Learning / Machine Learning Projects

Date: 2014
Technology: Apache Mahout
Use case: Product recommendation using k-nearest neighbors algorithm
Goal: Show similar Products for unknown users on a marketplace platform

Date: 2014
Technology: Apache Mahout
Use case: Product recommendation using Item-Based Collaborative Filtering
Goal: Recommend similar Products for known users based on user behavior on a marketplace platform

Date: 2014
Technology: Regression
Use case: Fraud detection
Goal: Find similarities between new customer registrations to prevent multiple registrations (fraud/misusage)

Date: 2015
Technology: Random Forest
Use case: Product recommendation using Random Forest algorithm
Goal: Product recommendation optimized on long time revenue

Date: 2016
Technology: TensorFlow, LSTM, Convolutional Neural Networks
Use case: Classification and anomaly detection using Deep Learning
Goal: Labeling transactions, find anomalies, reduce manual work

Date: 2016 Technology: TensorFlow, LSTM
Use case: Audio signal analysis and synthesis using Deep Learning
Goal: Various experiments to deconstruct and construct audio signals

Date: 2017
Technology: TensorFlow, Keras, Convolutional Neural Networks
Use case: Prototype for detecting product variants on an image
Goal: Reduce manual effort, fully automate and scale processes

Date: 2017
Technology: TensorFlow, Keras, Convolutional Neural Networks
Use case: Image detection, classification and metadata extraction for product images
Goal: Enrich metadata for product descriptions from images, finding outliers - helping content management teams to improve data quality

Eingesetzte Qualifikationen

Machine learning, Oracle Database, mySQL, Ubuntu, SCRUM, Python, Jira, Projektmanagement, Projektleitung / Teamleitung

Qualifikationen

Deep Learning Nanodegree Foundation at Udacity
Hadoop Platform and Application Framework by University of California, San Diego on Coursera
Introduction to Big Data Analytics (2015) by University of California, San Diego on Coursera
Learning How to Learn [University of California, San Diego] on Coursera
Machine Learning [Stanford University] on Coursera
Machine Learning [University of Washington] on Coursera
Machine Learning Foundations: A Case Study Approach by University of Washington on Coursera
Machine Learning With Big Data (2015) by University of California, San Diego on Coursera
Machine Learning: Classification by University of Washington on Coursera
Machine Learning: Clustering & Retrieval by University of Washington on Coursera
Machine Learning: Regression by University of Washington on Coursera
Neural Networks and Deep Learning by deeplearning.ai on Coursera
Neural Networks for Machine Learning by University of Toronto on Coursera

iSAQB® Domain-Driven Design (DDD) Workshop
iSAQB® Certified Professional for Software Architecture

Certified Scrum-Master
Sun Certified Java Programmer

Studium der Elektrotechnik an der FH Nürnberg
Studium der Informatik an der UNI Erlangen

Über mich

Frameworks:
scikit-learn, TensorFlow, Keras

Applications:
Machine Learning, Deep Learning, Audio Analysis and Synthesis, Fraud Detection, Recommendation Systems, Computer Vision, Image Processing, Image Recognition / Classification, Speech Recognition, Natural Language Understanding, Anomaly Detection

Algorithms:
Random Forest, XGBoost, Deep Neural Networks, Convolutional Neural Networks, R-CNN, RNN, LSTM, Autoencoder

Programming skills:
Python (numpy, scikit-learn), MATLAB/GNU Octave, JAVA, PHP, Git

Database skills:
MS-SQL, Oracle Database, MySQL, Exasol, Elastic Search

Agile-Tools:
JIRA, Confluence

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Ungarisch (Fließend)
Reisebereitschaft
Umkreis (bis 200 km)
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
619
Alter
46
Berufserfahrung
19 Jahre und 11 Monate (seit 01/1999)
Projektleitung
15 Jahre

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