neusinger GmbH

neusinger GmbH

IT-Dienstleistungen und IT-Beratung

Frankfurt am Main, Hessen 226 Follower:innen

we think data - AI & Data Engineering

Info

We are supporting companies in Big Data, AI and BI projects. If appropriate, we are also using our own AI-automation methods for very quick and very accurate analytics results. Some of our Use Cases: • Credit Scoring • Fraud Detection • Customer Churn • Employee Churn • IoT Analysis / Predictive Maintanance • Heart Desease Prediction • Marketing Optimizations • Modern Data Architecture and Data Engineering • Cloud based Enterpise Data Architecture (Data Lake, DWH, Data Virtualization, Analytics, Ad-hoc Reporting) • Realtime/Batch Data Engineering (Apache Kafka, Spark, CDC, Informatica, Talend) • Data Quality & Governance • Data Pipelines (Informatica, Oracle, Talend) • Enterprise ad-hoc Reporting (SAP BO, Tableau, Power BI, MicroStrategy, Cognos) Our Story: • 2018 founded startup with innovative machine learning automation software after selling a since 10 years successful-acting IT-consulting company UGE GmbH to SoftServe, Inc. • Currently 65 fellows in our specialized business units • Focus: implementation of data science, big data & BI solutions & integration of our machine learning automation software Our Values: • We are bringing our startup spirit to our customers • We combine our corporate and startup experience to achieve best results in projects • We focus on smart pragmatic solutions and implement them with the highest quality • Honesty and straightforwardness are important to us Company Facts: • HQ in Frankfurt am Main • Own software product and a framework for fast results • Own innovation center in Kiev • Member of Frankfurt Startup Hub “TechQuartier” • Member of BITKOM • Cooperation with universities • Cooperation with “Frankfurt Data Science Community”

Website
https://www.neusinger.ai
Branche
IT-Dienstleistungen und IT-Beratung
Größe
11–50 Beschäftigte
Hauptsitz
Frankfurt am Main, Hessen
Art
Kapitalgesellschaft (AG, GmbH, UG etc.)
Gegründet
2018
Spezialgebiete
Big Data, AI, BI, Data Lake, Data Warehouse, Advaced Analytics, Reporting, Data Virtualization, Cloud, Python, Apache Spark, Apache Kafka, AWS und MS Azure

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