GCP ML Engineer with expertise in Data Science, Forecasting, Python (Pandas, Scikit-learn, TensorFlow); seeks ML project success with BigQuery.
Aktualisiert am 06.05.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 28.03.2024
Verfügbar zu: 100%
davon vor Ort: 20%
Python
Google BigQuery
Forecasting
SQL
Machine Learning
Softwarearchitektur
Teamleading
Projektleitung
Retail
Google Cloud
Marketing
German
A2
English
B2

Einsatzorte

Einsatzorte

Passau (Deutschland) (+50km)
Deutschland, Österreich
möglich

Projekte

Projekte

7 Monate
2023-01 - 2023-07

Significantly enhanced seed forecasting accuracy

Lead Consultant (GCP)
Lead Consultant (GCP)
  • Significantly enhanced seed forecasting accuracy by 25% through the successful creation and deployment of a Machine Learning model, leveraging weather data to drive agricultural decision-making.
  • Ensured robust data integrity and system reliability by implementing 2 monitoring and alerting frameworks within the pipeline, contributing to the seamless operation of the technology stack comprising Dataflow, BigQuery, Cloud Functions, Stack Driver, Cloud Scheduler, Cloud Storage, Monitoring & Alerting, Cloud Run, and XG Boost.
  • Successfully led a team of three data scientists in optimizing various ML parameters, resulting in a notable improvement in model performance, demonstrating effective leadership in the intersection of agriculture, technology, and data science.
Devoteam G Cloud
Munich
3 Jahre 7 Monate
2019-06 - 2022-12

Boosted retail order forecasting accuracy

Cloud Engineer (GCP)
Cloud Engineer (GCP)
  • Boosted retail order forecasting accuracy by 30% across all MMS outlets through the development of two ML pipelines, emphasizing precision in demand prediction for the retail sector.
  • Analyzed sales trends during key events (Black Friday, Easter, Christmas, and Corona) with 3 implemented BigQuery models, showcasing strategic data insights.
  • Streamlined on-premises to BigQuery data migration with 3 CI/CD stream pipelines, reflecting a commitment to efficient and agile data management.
  • Achieved a 15% cost reduction through the creation of 5 operational dashboards for multi-country business processes, leveraging a diverse tech stack, including Pub-Sub, FTP, SFTP, App Engine, Compute Engine, Looker Studio, Jupyter Notebooks, Jira, Git, Slack, and Cloud IAM.
Media Markt Saturn
Ingolstadt
4 Jahre 2 Monate
2015-04 - 2019-05

Developed full-stack neural networks

Freelance ML Engineer (Python)
Freelance ML Engineer (Python)
  • Developed full-stack neural networks using Keras for Lesara.com, using 6 datasets to accurately predict the gender and amount of visitors.
  • Predicted rent prices for luxury apartments in Texas, USA using KNN and Decision Trees.
  • Developed ML model to predict bike prices for Berlin shops using 50 years of data, improving efficiency by 29%.
  • Tech Stack - Scikit-learn, Pandas, Matplotlib, Seaborn, GridSerchCV, Tensorow, Keras.
Kaggle
Göttingen
2 Jahre 4 Monate
2016-04 - 2018-07

Built a Widget in Orange

Research Assistant
Research Assistant
  • Built a Widget in Orange (Open Source ML) to parallelize data using MPI (Python).
  • GUI Library Application for storing & updating books using Tkinter & PostgreSQL.
  • Astronomy Application using MYSQL to nd the position of planets from a location.
  • Web Scrapping to parse prices & location from a Real Estate Website using BeautifulSoup4.
  • Web Map Application using Folium to arrange places according to Volcano eruption.
Georg-August-Universität Göttingen
Göttingen
6 Monate
2017-10 - 2018-03

Named Entity Recognition and Disambiguation

Master Thesis
Master Thesis

Master Thesis - Scalable Architecture for Entity Recognition and Disambiguation

  • Develop a scalable full-stack web application that extracts person and location names from texts and disambiguates them from Wikipedia to find probable real-world Wikipedia entries.
  • Tech Stack - NumPy, Cosine Similarity, Natural Language Toolkit (NLTK), Stanford Named Entity Recogniser, Count Vectorizer, Punkt Tokenizer, German Stemmer, TF-IDF.

Georg-August-Universität Göttingen
Göttingen

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 5 Monate
2015-03 - 2018-07

Applied Computer Science

Master, Georg-August-Universität Göttingen
Master
Georg-August-Universität Göttingen
4 Jahre 1 Monat
2010-07 - 2014-07

Technology (Software Engineering)

Bachelor, SRM University
Bachelor
SRM University

Kompetenzen

Kompetenzen

Top-Skills

Python Google BigQuery Forecasting SQL Machine Learning Softwarearchitektur Teamleading Projektleitung Retail Google Cloud Marketing

Produkte / Standards / Erfahrungen / Methoden

ABOUT ME

  • Experienced GCP ML Engineer skilled in Data Science Pipelines, Forecasting Models and Data Visualisation.
  • Result-oriented proficiency in Python libraries like Pandas, Scikit-learn, and Tensor-flow.
  • Seeking for driving business success via ML projects and by leveraging management & leadership skills.


MANAGEMENT AND LEADERSHIP SKILLS

  • Managed and grew a YouTube Channel with 85,000 subscribers, 1600 videos, and 16 Million views.
  • Delivered engaging content focused on life coaching & personality development.
  • Leveraged marketing strategies to increase channel visibility and foster community engagement.
  • Utilized analytical tools to track channel performance & make data-driven decisions for maximum reach.

Einsatzorte

Einsatzorte

Passau (Deutschland) (+50km)
Deutschland, Österreich
möglich

Projekte

Projekte

7 Monate
2023-01 - 2023-07

Significantly enhanced seed forecasting accuracy

Lead Consultant (GCP)
Lead Consultant (GCP)
  • Significantly enhanced seed forecasting accuracy by 25% through the successful creation and deployment of a Machine Learning model, leveraging weather data to drive agricultural decision-making.
  • Ensured robust data integrity and system reliability by implementing 2 monitoring and alerting frameworks within the pipeline, contributing to the seamless operation of the technology stack comprising Dataflow, BigQuery, Cloud Functions, Stack Driver, Cloud Scheduler, Cloud Storage, Monitoring & Alerting, Cloud Run, and XG Boost.
  • Successfully led a team of three data scientists in optimizing various ML parameters, resulting in a notable improvement in model performance, demonstrating effective leadership in the intersection of agriculture, technology, and data science.
Devoteam G Cloud
Munich
3 Jahre 7 Monate
2019-06 - 2022-12

Boosted retail order forecasting accuracy

Cloud Engineer (GCP)
Cloud Engineer (GCP)
  • Boosted retail order forecasting accuracy by 30% across all MMS outlets through the development of two ML pipelines, emphasizing precision in demand prediction for the retail sector.
  • Analyzed sales trends during key events (Black Friday, Easter, Christmas, and Corona) with 3 implemented BigQuery models, showcasing strategic data insights.
  • Streamlined on-premises to BigQuery data migration with 3 CI/CD stream pipelines, reflecting a commitment to efficient and agile data management.
  • Achieved a 15% cost reduction through the creation of 5 operational dashboards for multi-country business processes, leveraging a diverse tech stack, including Pub-Sub, FTP, SFTP, App Engine, Compute Engine, Looker Studio, Jupyter Notebooks, Jira, Git, Slack, and Cloud IAM.
Media Markt Saturn
Ingolstadt
4 Jahre 2 Monate
2015-04 - 2019-05

Developed full-stack neural networks

Freelance ML Engineer (Python)
Freelance ML Engineer (Python)
  • Developed full-stack neural networks using Keras for Lesara.com, using 6 datasets to accurately predict the gender and amount of visitors.
  • Predicted rent prices for luxury apartments in Texas, USA using KNN and Decision Trees.
  • Developed ML model to predict bike prices for Berlin shops using 50 years of data, improving efficiency by 29%.
  • Tech Stack - Scikit-learn, Pandas, Matplotlib, Seaborn, GridSerchCV, Tensorow, Keras.
Kaggle
Göttingen
2 Jahre 4 Monate
2016-04 - 2018-07

Built a Widget in Orange

Research Assistant
Research Assistant
  • Built a Widget in Orange (Open Source ML) to parallelize data using MPI (Python).
  • GUI Library Application for storing & updating books using Tkinter & PostgreSQL.
  • Astronomy Application using MYSQL to nd the position of planets from a location.
  • Web Scrapping to parse prices & location from a Real Estate Website using BeautifulSoup4.
  • Web Map Application using Folium to arrange places according to Volcano eruption.
Georg-August-Universität Göttingen
Göttingen
6 Monate
2017-10 - 2018-03

Named Entity Recognition and Disambiguation

Master Thesis
Master Thesis

Master Thesis - Scalable Architecture for Entity Recognition and Disambiguation

  • Develop a scalable full-stack web application that extracts person and location names from texts and disambiguates them from Wikipedia to find probable real-world Wikipedia entries.
  • Tech Stack - NumPy, Cosine Similarity, Natural Language Toolkit (NLTK), Stanford Named Entity Recogniser, Count Vectorizer, Punkt Tokenizer, German Stemmer, TF-IDF.

Georg-August-Universität Göttingen
Göttingen

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 5 Monate
2015-03 - 2018-07

Applied Computer Science

Master, Georg-August-Universität Göttingen
Master
Georg-August-Universität Göttingen
4 Jahre 1 Monat
2010-07 - 2014-07

Technology (Software Engineering)

Bachelor, SRM University
Bachelor
SRM University

Kompetenzen

Kompetenzen

Top-Skills

Python Google BigQuery Forecasting SQL Machine Learning Softwarearchitektur Teamleading Projektleitung Retail Google Cloud Marketing

Produkte / Standards / Erfahrungen / Methoden

ABOUT ME

  • Experienced GCP ML Engineer skilled in Data Science Pipelines, Forecasting Models and Data Visualisation.
  • Result-oriented proficiency in Python libraries like Pandas, Scikit-learn, and Tensor-flow.
  • Seeking for driving business success via ML projects and by leveraging management & leadership skills.


MANAGEMENT AND LEADERSHIP SKILLS

  • Managed and grew a YouTube Channel with 85,000 subscribers, 1600 videos, and 16 Million views.
  • Delivered engaging content focused on life coaching & personality development.
  • Leveraged marketing strategies to increase channel visibility and foster community engagement.
  • Utilized analytical tools to track channel performance & make data-driven decisions for maximum reach.

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Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

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