Kurzvorstellung
Ich biete
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Jira4 Jahre Erfahrung
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Python4 Jahre Erfahrung
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SCRUM4 Jahre Erfahrung
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Machine learning4 Jahre Erfahrung
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Agile Entwicklung4 Monate Erfahrung
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Big Data4 Monate Erfahrung
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Git
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SQL
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Data Science
Projekt‐ & Berufserfahrung
E-Commerce / Fashion
9/2017 – 12/2017
TätigkeitsbeschreibungPredictive modeling
Eingesetzte QualifikationenTableau, MicroStrategy, R (Programmiersprache), Machine learning, Big Data, SCRUM, Agile Entwicklung, Python, Jira
Kundenname anonymisiert, Nürnberg, Berlin, Karlsruhe
Details anzeigen
E-Commerce
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
Machine learning, Oracle Database, mySQL, Ubuntu, SCRUM, Python, Jira, Projektmanagement, Projektleitung / Teamleitung
Qualifikationen
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
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
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Ungarisch (Fließend)
- Europäische Union
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