Data Scientist

freiberufler Data Scientist auf freelance.de
Referenzen
offline
Verfügbarkeit einsehen
Weltweit
de  |  cs  |  en
auf Anfrage
73111 Lauterstein
16.05.2019

Kurzvorstellung

Experienced Data Scientist with a demonstrated history of working in the consulting industry. Skilled in R, Python, SQL. Deep knowledge in Machine Learning and Statistics.

Ich biete

IT, Entwicklung
  • Python
  • Big Data
  • Machinelles Lernen
Forschung, Wissenschaft, Bildung
  • Data Science

Fokus
  • R

Projekt‐ & Berufserfahrung

External Data Science Consultant/Developer
Kundenname anonymisiert, Ludwigshafen am Rhein
6/2018 – 3/2019 (10 Monate)
Chemieindustrie
Tätigkeitszeitraum

6/2018 – 3/2019

Tätigkeitsbeschreibung

• Test of different models and select the best performing with cross validation: Decision Trees, Gradient Boosted Trees, Support Vector Machines and Neural Networks
• Implement automated method for hyperparameter optimization with bayesian optimization and grid seach techniques
• Developing a memory efficient machine learning pipeline, including automated optimization techniques to allow run by non-technical users

Eingesetzte Qualifikationen

SAP HANA, Python


External Data Science Consultant/Developer
Kundenname anonymisiert, Ludwigshafen am Rhein
7/2016 – 3/2019 (2 Jahre, 9 Monate)
Chemieindustrie
Tätigkeitszeitraum

7/2016 – 3/2019

Tätigkeitsbeschreibung

Goals & Questions:
• Can recommendations be further improved by more advanced machine learning methods?
• Which performance can be achieved with different models, from simple and intepretable to very advanced and rather black-box models?
• Is it possible to improve model performance by adding additional features into more advanced models?
• Are more performant models black-boxes or can explanation/interpretation methods be applied?
• Generate ready to use R packages to apply different business scopes
Role:
• Consulting on method selection and coding embedded in a data science team
• Close interaction with peers and communication with stakeholders and internal IT staff to share knowledge and enable them to use the methods
• Coaching of internal IT colleagues to enable them to adopt the methods in practice and transfer knowledge to peers
Methods/Approach:
• Testing of several machine learning algorithms to generate recommendations: Decition Trees, Gradient Boosted Trees, Convolutional Neural Networks
• Evaluate tested models in cross validation settings and implement into existing algorithmic package
• Developing an automated pipeline from data import from databases over pre-processing and modeling to post-processing with prepared recommendations and if possible explanation layers
• Developing memory efficient functions and implement them in an R package for all pre- and post-processing steps for each implemented method
• Further development of an algorithmic R package based on S4 framework from recommenderlab to implement enseble methods and neural networks
Tools: R, Tensorflow mit keras (R), recommenderlab (R), xgboost (R), rpart (R), Python, SAP HANA, R Markdown

Eingesetzte Qualifikationen

SAP HANA, Python


External Data Science Consultant/Developer
Kundenname anonymisiert, Ludwigshafen am Rhein
3/2015 – 6/2016 (1 Jahr, 4 Monate)
Chemieindustrie
Tätigkeitszeitraum

3/2015 – 6/2016

Tätigkeitsbeschreibung

Role:
• Support as external consulant for conceptual work, methods selection and coding (on-site with remote periods)
• Close collaboration with peers from Data Science, Machine Learning and IT
• Frequent communication of results to peers and internal management consulting colleagues in order to spread the concept in the enterprise

Methods/Approach:
• Clustering methods to group customers on customer features, sales and purchasing patterns
• Selection of appropirate algorithms to discover patterns of frequently purchased products (itemset mining) and to derive rules (association rule mining)
• Post-processing and interpretation of results for stakeholders
• Create interactive platform in Shiny to visually explore and explain purchasing patterns, rules and recommendations

Eingesetzte Qualifikationen

SAP HANA, SAP HANA SQLScript, Python

Zertifikate

Neural Networks and Deep Learning
Januar 2019

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Januar 2019

Structuring Machine Learning Projects
Januar 2019

Qualifikationen

Many years of extensive experience as a Data Science Consultant
- External consultant in global operating enterprises
- Method consulting
- Programming of prototypes
- Programming of Data Science / Machine Learning Pipelines
- Projects in international, English speaking teams

Broad knowledge in Machine Learning tools and application with R and Python for many years
• Supervised Learning: Deep theoretical knowledge in classification- and regression methods and long experience in practical use
o Decision Trees, Random Forests, Gradient Boosted Trees, Support Vector Machines, Deep Learning (ANN, CNN), logistic – and linear regression methods, Ridge Regression, Lasso, Linear Discriminant Analysis, kNN
• Unsupervised Learning: Extensive experience in application of clustering/pattern recognition of unstructured data
o DBSCAN, OPTICS, k-means, hierarchical clustering
• Rule based Learning: Considerable experience with algorithms for learning patterns and derive rules from unstructured data
o apriori, eclat, FP-growth
• Dimensionality reduction methods: Experienced with application of
o Principal Component Analysis, Linear Discriminant Analysis, Non-negative matrix factorization

Deep knowledge in statistical methods and modeling
• Econometric models
• Time series models (ARMA, ETS)


Many years of experience in development of data science pipelines, for proof of concept and implementation in productive systems
• Data exporting and merging from different sources (HANA; MSSQL)
• Data preparation, cleaning- and pre-processing for final analysis
• Data post-processing of final results and insights (automated reporting, visualization, interaktive applications like Shiny or Tableau)

Über mich

Experience and focus in last couple of years

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Tschechisch (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
Weltweit
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
309
Alter
35
Berufserfahrung
7 Jahre und 4 Monate (seit 03/2012)

Kontaktdaten

Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.

Jetzt Mitglied werden »