Deep Learning / Machine Learning Expert / Data Scientist
zuletzt online vor wenigen Stunden- Verfügbarkeit einsehen
- 0 Referenzen
- 135€/Stunde
- 90763 Fürth
- National
- de | en | hu
- 26.03.2021
Kurzvorstellung
Ich biete
Projekt‐ & Berufserfahrung
9/2017 – 3/2021
TätigkeitsbeschreibungPredictive modeling, machine learning / deep learning consultant, coaching, guiding machine learning projects from conception to production and maintenance/optimization
Eingesetzte QualifikationenAgile Entwicklung, Amazon Web Services (AWS), Big Data, Confluence (Atlassian), Data Science, Jira, Keras, Machinelles Lernen (allg.), MicroStrategy, PyTorch, SCRUM, Tableau, TensorFlow
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
Machinelles Lernen (allg.), Oracle Database, mySQL, Ubuntu, SCRUM, Python, Jira, Projektmanagement, Projektleitung / Teamleitung
Zertifikate
Qualifikationen
Studium der Elektrotechnik an der FH Nürnberg
Studium der Informatik an der UNI Erlangen
Über mich
- XGBoost, TensorFlow, Keras, XGBoost, PyTorch, PySpark
Applications:
- Machine Learning, Deep Learning, Audio Analysis and Synthesis, Fraud Detection, Recommendation Systems, Computer Vision, Image Processing, Image Recognition / Classification, Speech Recognition, Natural Language Processing, Anomaly Detection, Purchsase Propensity Scores, Consumer Life Time Value, Extraction of Product Design Elements (Visual Embeddings), Dynamic Pricing, Markdown Optimization
Algorithms:
- Gradient Boosting, Deep Neural Networks, Convolutional Neural Networks, LSTM, R-CNN, Autoencoder, Transformer
Programming skills:
- Python (pandas, numpy, scikit-learn, jupyter), JAVA, PHP, Git
Database skills:
- MS-SQL, Oracle Database, MySQL, Exasol, Elasticsearch, Spark
Agile-Tools:
- JIRA, Confluence, Bitbucket/Git
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Ungarisch (Fließend)
- Europäische Union
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