04.01.2025 aktualisiert
(New freelancer) PhD in Machine Learning / Senior Data Scientist / Machine Learning and AI Expert
Miesbach, Deutschland
Miesbach +100 km
PhD in Machine Learning und Artificial intelligenceSkills
machine learningPythondeep learningMLOPSsoftware engineeringETL- ProgrammierungArtificial IntelligenceTransformerGenerative Adversarial NetworksTensorflow
Ich habe bereits seid 2013 zahlreiche Projekte im Bereich der Data Science/ Machine Learning / AI und Software Entwicklung durchgeführt. Ich stehe hier neben meinem Hauptberuf in diesem Bereich nebenberuflich für Ihre Projekte zur Verfügung. Seien Sie sicher, dass ich dank meiner Erfahrung hierbei auch bei geringerer wöchentlicher Verfügbarkeit hochqualitative Ergebnisse in kürzerer Zeit als andere Analysten die eine höhere Verfügbarkeit haben, erziele.
Um für Sie das Riskio zu minimieren starte ich gerne den ersten Monat kostenlos und sollten Sie zufrieden sein wird dieser Monat rückwirkend bezahlt. Sollten sie dies nicht sein ist der Monat für Sie gratis.
Data Engineering / Big Data:
Um für Sie das Riskio zu minimieren starte ich gerne den ersten Monat kostenlos und sollten Sie zufrieden sein wird dieser Monat rückwirkend bezahlt. Sollten sie dies nicht sein ist der Monat für Sie gratis.
Data Engineering / Big Data:
- building Data Pipelines in AWS or Azure
- Business Intelligence: Data analysis, Dashboarding etc.
- Visualization e.g. using Tableau, palantir slate
- MLOps
- Apache PySpark
- Chatgpt based technology
- Deep Learning / Transformers
- learning/analytics approaches: statistics (e.g. Multilinear Regression etc.), unsupervised, supervised, Reinforcement learning, Bayesian Networks, deep learning, process mining
- Common Libraries: tensorflow, pandas, plotly, scikit-learn, numpy, keras, libpgm, django
- Common Frameworks: Jupyter Notebook, Rapidminer Studio
- Palantir Foundry: Contour, Reports, Slate, Monocle, Repositories
- AWS Cloud Specialist
- DevOps
- Programming: Python, R, C++, Java, SQL
- Common Techniques: UML, Database Systems, Object Design, Design Patterns, Testing
Sprachen
DeutschMutterspracheEnglischverhandlungssicherPolnischMuttersprache
Projekthistorie
Data Science :
× productive deep learning pipelone in time series
* Clustering - Segmentation of customer data using Unsupervised Learning approaches.
* NLP - Verbatims analysis including Sentiment classification of
verbatims using transformer models, Latent Dirichlet Allocation for
topic identification & bag of words analysis.
* KDD - analyses in python (incl. Jupyter Notebook, pandas, plotly, etc.)
to discover insights from large market research data sets
* KDD - Answering complex analytics questions for other departments
using data.
* Automated Statistics - Automated hypothesis testing to discover
significantly deviating dimensions between samples of customers to
identify actionable differences.
* Statistics - Performance of driver analysis with multi-linear regression
in python.
* Statistics - Definition and tracking of KPIs
Data Science in Production :
* Social Media Analytics Pipeline: prototyping, implementation & Dashboarding
* Creation of a Large Dashboard Platform in Palantir Foundry
Data Engineering
* Regular update & preparation of data assets in AWS incl. preprocessing, merging of assets & building of ETL
pipelines.
Visualization & Presentation
* Tableau - Visualization of results from particular analyses in Tableau
(e.g. driver analysis, customer segmentation).
× productive deep learning pipelone in time series
* Clustering - Segmentation of customer data using Unsupervised Learning approaches.
* NLP - Verbatims analysis including Sentiment classification of
verbatims using transformer models, Latent Dirichlet Allocation for
topic identification & bag of words analysis.
* KDD - analyses in python (incl. Jupyter Notebook, pandas, plotly, etc.)
to discover insights from large market research data sets
* KDD - Answering complex analytics questions for other departments
using data.
* Automated Statistics - Automated hypothesis testing to discover
significantly deviating dimensions between samples of customers to
identify actionable differences.
* Statistics - Performance of driver analysis with multi-linear regression
in python.
* Statistics - Definition and tracking of KPIs
Data Science in Production :
* Social Media Analytics Pipeline: prototyping, implementation & Dashboarding
* Creation of a Large Dashboard Platform in Palantir Foundry
Data Engineering
* Regular update & preparation of data assets in AWS incl. preprocessing, merging of assets & building of ETL
pipelines.
Visualization & Presentation
* Tableau - Visualization of results from particular analyses in Tableau
(e.g. driver analysis, customer segmentation).
Development of S’arvo Android & iOS App to remember & plan events with friends. The frontend development is done in Typescript using Ionic Framework, the backend is implemented with Django in Python.
https://play.google.com/store/apps/details?id=sarvo.release&hl=de&gl=US
https://play.google.com/store/apps/details?id=sarvo.release&hl=de&gl=US
focus on Data Science