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Aiku Technologies GmbH

DevOps, IT-Projektmanagement, Data Science, Python
4.8
4 Bewertungen
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Unternehmensdarstellung

At aiku, we elevate businesses by transforming their business processes through a holistic human-and-technology approach. We believe that every business is unique. Therefore, our custom-made solutions enable enterprises to accelerate their successes and push them ahead of competition while keeping their system intact at its core. With a team of experts, we deliver custom products in the space of Applied Data Science, Data Engineering, Python Programming and Innovation Management. Our clients mostly stem from the Pharma and Life Science industry. We elevate businesses to make data-driven decisions and increase efficiency. We have served solutions for Customer Segmentation, Geospatial Clustering, Forecasting, Web Scraping, and Automated Data Pipelines.
Tagessatz
800€/Tag
Mitarbeiter
2 Mitarbeiter insgesamt
Unternehmenstyp
Start-up
Homepage
https://www.aiku.tech
Standort
Wiesbaden

Referenzen

ML Application for Geospatial Clustering

Medizinische und Pharmazeutische Industrie

Verifizierte Bewertungen

Kommunikation
Termintreue
Qualität

05/2021 - 05/2022

30.000 Euro

Ähnliches Projekt anfragen

Kommentar

We used to have an outdated tool to map the territories. However, with the rich amount and complexity of data we have, there was a need to invest more time in leveraging new technology. Anyways, the tool was no longer compatible with the latest operating system. So, there was a need to migrate the system and rethink the whole processing.

In result, we realised a much better user experience with a web app interface. Plus, the algorithm performs a lot better than the heuristic approach that we deployed so far.

Projektbeschreibung

Our client needed a service to structure and form sales territories based on geospatial and demographic data. In a long collaboration we were successful to create a web application that helps the company to serve their customers faster, at higher quality, and with more ease. After all, they can now save about 80 hours of manual work every month.

With the software package, there is no need for our client to keep updating the operating system or migrating to a different environment. They can retrieve the geospatial maps and process it right away without manipulating the data.

Webanwendungen
Geoinformationssystem
Systemmigration
Kollaboration
Betriebssysteme
Python
Maschinelles Lernen

Operations Control System

Verifizierte Bewertungen

Kommunikation
Termintreue
Qualität

01/2019 - 12/2020

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Projektbeschreibung

The project introduced a central data model to systematically monitor workflows spanning over 7 homegrown and third-party production systems. We reported a potential to decrease time between production and delivery by on average 2-3 days through deploying a regression-based model to calculate estimated production cycle time.

Requirements Engineering
Data Engineering
Predictive Analytics
Datenvisualisierung
Automation Engineering
Data Pipeline
Datenmodellierung
Data Science
Maschinelles Lernen

Challenges and Lessons Learned Practicing CI/CD for ML Applications

Information Technology

Verifizierte Bewertungen

Kommunikation
Termintreue
Qualität

01/2023 - 06/2023

Ähnliches Projekt anfragen

Projektbeschreibung

The research paper on 'Challenges and Lessons Learned in CI/CD for ML Applications' delved into the complexities of implementing CI/CD pipelines through real-world case studies. It offered valuable insights and practical recommendations based on the lessons learned from twenty ML projects. The work integrated in-depth insights into ML, software engineering, and cutting-edge technologies, providing in-depth insights into the challenges faced in organization, development, and operations.

DevOps
Software Engineering
Forschung
Künstliche Intelligenz
Maschinelles Lernen

Schwerpunkte

Google Cloud
Projektplanung
Webanwendungen
DevOps
GitLab
Künstliche Intelligenz
Sprint-Planning
Maschinelles Lernen

Weitere Fähigkeiten

Data Engineering
SQL
Agiles Projektmanagement
ETL
Produktdesign
Requirements Engineering
Process Analytics
Produktmanagement
Produktstrategie
Git
Marketing
Dashboard
Pandas
Data Science
Produkt Backlog
Data Pipeline
Projektmanagement
Product Creation Process
Kundensegmentierung
Datenkompetenz
Anforderungsmanagement
User Stories
Datenstrategie
Anforderungsanalyse
Prozessüberwachung
Python
+14

Branchen

Medizinische und Pharmazeutische Industrie
10 - 30 Projekte
Einzelhandel
0 - 10 Projekte
Energiewirtschaft
0 - 10 Projekte

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