Senior Data Scientist
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- auf Anfrage
- 80469 München
- Europa
- de | en | es
- 07.09.2023
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
1/2022 – 12/2022
Tätigkeitsbeschreibung
People & technical lead for the data science team of 5 persons
Design & implementation of the BI platform
Design & implementation of the deep learning based plant species detection
Build up of company wide AI network
DevOps of internal Django web application
Agile Entwicklung, Amazon Web Services (AWS), Business Intelligence (BI), Cloud Computing, Django (Framework), Docker, HTML, JavaScript, Keras, Projektleitung / Teamleitung (IT), Python, SCRUM, TensorFlow
9/2020 – 12/2022
Tätigkeitsbeschreibung
Elected spokesperson and person of trust from the employees
Design & execution of a company wide meditation program in a weekly rhythm
Responsible for company wide diversity and inclusion topics
Psychologie (allg.), Mitarbeiterbeteiligung
5/2020 – 1/2022
Tätigkeitsbeschreibung
Computer Vision: Deep learning based plant prediction (phenotyping)
Business Intelligence: Design & implement business intelligence platform with google data studio
Data Engineering: Design & implement etl pipeline with AWS (Dynamo DB, Lambda) and Docker
Software Development: DevOps of internal Django web application
Agile Entwicklung, Amazon Web Services (AWS), Business Intelligence (BI), Data Science, Django (Framework), Docker, Git, HTML, JavaScript, Keras, Python, SCRUM, Software engineering / -technik, TensorFlow
9/2017 – 7/2019
Tätigkeitsbeschreibung
Computer Vision: Application of Deep Learning algorithms for quality control in assembly lines
Project Management: Price optimization and prediction based on sales & customer data based on machine learning algorithms
Big Data Ethics
Lecturer for company wide deep learning training
Tableau, Keras, Lineare Regression, TensorFlow, Projektmanagement (IT), Docker, Python, Software engineering / -technik, Softwareentwicklung (allg.)
Ausbildung
Drishti Yoga School, Rishikesh, India
Technische Universität München (TUM)
München
Technische Universität München (TUM)
München
Schenker Deutschland AG
Über mich
I believe that culture, psychological safety and concise communication are essential. Only with a deep understanding of the data and underlying business units processes can AI projects succeed.
I am therefore convinced that a close collaboration with your team is key for sustainable impact. I can however work fully self reliant as well.
I am equally rooted in both the tech world and the project management space. I therefore thrive in positions where I can combine my applied coding knowledge and my communication and social skills.
Skillportfolio:
- Explorative Data Analysis: Adhoc analysis of business relevant data and creation of dashboards.
- Machine Learning Model Training & Consulting: The whole pipeline from data cleaning, architecture design to use case implementation and evaluation.
- Data Engineering: On-hands CI/CD agile implementation of data pipelines
- AI Models Dev to Prod: Launch of prototype models into an productive environment e.g. the cloud (aws etc.)
- Data Science Team Coaching: Support for hiring and educating specialists within your company.
Industry Know-How:
- Car
- Agriculture
- Consumer Products
- Startups
- Corporate
Weitere Kenntnisse
Python, AWS (DynamoDB, Cognito, Lambda),Tensorflow/Keras, SQL, NoSQL, Deep Learning, Docker, Git, Web Development (Django, HTML, CSS, Java Script)
Software Engineering, Agile Development - Scrum, Jupyter Notebook, Tableau, Google Data Studio, CI/CD
Softskills
Leadership, Communication, Intercultural Competence, Mindfulness, Didactics
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Spanisch (Grundkenntnisse)
- Europäische Union
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