freiberufler Deep Learning / Machine Learning Expert / Data Scientist auf freelance.de

Deep Learning / Machine Learning Expert / Data Scientist

zuletzt online vor wenigen Stunden
  • 135€/Stunde
  • 90763 Fürth
  • National
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  • 26.03.2021

Kurzvorstellung

Deep Learning / Machine Learning Expert / Data Scientist

Ich biete

  • Agile Entwicklung
  • Big Data
  • Data Science
  • Git
  • Jira
  • Machinelles Lernen (allg.)
  • Python
  • SCRUM
  • SQL

Projekt‐ & Berufserfahrung

Data Scientist
Kundenname anonymisiert, Herzogenaurach
9/2017 – 3/2021 (3 Jahre, 7 Monate)
E-Commerce / Fashion
Tätigkeitszeitraum

9/2017 – 3/2021

Tätigkeitsbeschreibung

Predictive modeling, machine learning / deep learning consultant, coaching, guiding machine learning projects from conception to production and maintenance/optimization

Eingesetzte Qualifikationen

Agile Entwicklung, Amazon Web Services (AWS), Big Data, Confluence (Atlassian), Data Science, Jira, Keras, Machinelles Lernen (allg.), MicroStrategy, PyTorch, SCRUM, Tableau, TensorFlow

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

Machinelles Lernen (allg.), Oracle Database, mySQL, Ubuntu, SCRUM, Python, Jira, Projektmanagement, Projektleitung / Teamleitung

Zertifikate

deeplearning.ai - Natural Language Processing Specialization
Oktober 2020
Machine Learning Engineer Nanodegree at Udacity
Juni 2018
Deep Learning Nanodegree Foundation at Udacity
September 2017
Neural Networks and Deep Learning by deeplearning.ai on Coursera
September 2017
Neural Networks for Machine Learning by University of Toronto on Coursera
November 2016
Machine Learning: Clustering & Retrieval by University of Washington on Coursera
August 2016
Machine Learning: Classification by University of Washington on Coursera
April 2016
Machine Learning With Big Data (2015) by University of California, San Diego on Coursera
Januar 2016
Machine Learning by Stanford University on Coursera
Januar 2016
Machine Learning: Regression by University of Washington on Coursera
Januar 2016
Introduction to Big Data Analytics (2015) by University of California, San Diego on Coursera
Dezember 2015
Machine Learning Foundations: A Case Study Approach by University of Washington on Coursera
November 2015
Introduction to Big Data (2015) by University of California, San Diego on Coursera
Oktober 2015
Certified Scrum-Master
Januar 2015
iSAQB® Certified Professional for Software Architecture
Januar 2015
Sun Certified Java Programmer
Januar 2010

Qualifikationen

iSAQB® Domain-Driven Design (DDD)

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

Über mich

Frameworks:
- 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

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Ungarisch (Fließend)
Reisebereitschaft
National
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
4150
Alter
49
Berufserfahrung
22 Jahre und 3 Monate (seit 01/1999)
Projektleitung
15 Jahre

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