02.08.2024 aktualisiert
100 % verfügbar
Senior Data Scientist, Data Scientist, Quantitative Analyst/Trader
Zürich, Schweiz
Weltweit
MSc Engineering PhysicsSkills
HTMLJavaScript.Net FrameworkKünstliche IntelligenzAmazon Web ServicesSoftware-PlattformMicrosoft AzureC#CSSSaasContinuous DeliveryContinuous IntegrationConvex OptimizationInformation EngineeringDatensysteme
.NET, AWS, AI, artificial intelligence, back-end development, C#, CSS, software platform, Continuous Deployment, Continuous Integration, CI/CD, Convex Optimization, Dask, data systems, Data Visualization, Deep Learning, Distributed Computing, Docker, FastAPI, Flask, HTML, data engineering, JavaScript, Keras, Kubernetes, MATLAB, Machine Learning, Azure, Natural Language Processing, NoSQL, NumPy, Pandas, PySpark, Python, PyTorch, SQL, scikit-learn, Software Architecture, software development, software tools, SaaS, TensorFlow, text summarization
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2023
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicherSchwedischMutterspracheSerbischMuttersprache
Projekthistorie
InvestCloud specializes in financial industry SaaS solutions packaged as
apps within a cloud-native, no-code software platform.
* Spearheaded the development of a transformer-based text
summarization and classification component for an NLP-based
investment research analyzer and security level investment
recommendation engine, significantly improving performance and
value for clients.
* Led the establishment of the Data Science SW Architecture & CI/CD
pipelines, improving deployment efficiency and operational scalability
across the enterprise.
* Contributed to the further development of the InvestCloud Portfolio
Optimizer, applying advanced Operations Research and convex
optimization methodologies to improve investment portfolio
performance.
apps within a cloud-native, no-code software platform.
* Spearheaded the development of a transformer-based text
summarization and classification component for an NLP-based
investment research analyzer and security level investment
recommendation engine, significantly improving performance and
value for clients.
* Led the establishment of the Data Science SW Architecture & CI/CD
pipelines, improving deployment efficiency and operational scalability
across the enterprise.
* Contributed to the further development of the InvestCloud Portfolio
Optimizer, applying advanced Operations Research and convex
optimization methodologies to improve investment portfolio
performance.
Klapp is a parent-teacher communication platform (web/mobile) now in use
in 750+ schools and by 150k+ parents in Switzerland.
* Co-founded Klapp, single-handedly developing the initial MVP and
driving the platform's adoption in over 750 schools and by 150k+
parents in Switzerland.
* Managed the technical architecture, back-end development, and
coordination of near-shore front-end developers, establishing a robust
and scalable solution.
* Played a pivotal role in the startup's successful acquisition in 2022.
in 750+ schools and by 150k+ parents in Switzerland.
* Co-founded Klapp, single-handedly developing the initial MVP and
driving the platform's adoption in over 750 schools and by 150k+
parents in Switzerland.
* Managed the technical architecture, back-end development, and
coordination of near-shore front-end developers, establishing a robust
and scalable solution.
* Played a pivotal role in the startup's successful acquisition in 2022.
Ava Women is a digital health firm that combines artificial intelligence and
clinical research to improve women's reproductive health.
* Led the data science contribution to a novel product for detecting
pregnancy anomalies, resulting in a patent for early delivery detection
based on physiological signals.
* Analyzed user data to generate new insights, resulting in two
conference abstracts and significantly contributing to the body of
research in women's reproductive health.
* Headed the development of an improved algorithm for sleep stage
detection using the Ava wearable device and led the data collection
collaboration with a partner university.
clinical research to improve women's reproductive health.
* Led the data science contribution to a novel product for detecting
pregnancy anomalies, resulting in a patent for early delivery detection
based on physiological signals.
* Analyzed user data to generate new insights, resulting in two
conference abstracts and significantly contributing to the body of
research in women's reproductive health.
* Headed the development of an improved algorithm for sleep stage
detection using the Ava wearable device and led the data collection
collaboration with a partner university.