Christian Streibl
Angestellt, Co-Founder / COO, FBS-Systems
Augsburg, Deutschland
Werdegang
Berufserfahrung von Christian Streibl
Bis heute 1 Jahr und 1 Monat, seit Juni 2023
Co-Founder / COO
FBS-Systems
Wir ermöglichen die Energiewende - mit Speicherkapazität & Flexibilität. Projektentwicklung von Großbatteriespeichern & Beratung
Participation in the Deloitte Analytics Journey: Financial Advisory / M&A Transactions Services (Jun 22 – Sep 22) • Simulation of a large and realistic demo sales dataset in R • Data analysis and visualization in QlikSense & PowerBI Risk Advisory (Oct 22 – Jan 23): • Building a software tool to quickly and automatically analyze customer spend cubes using Python. Consulting / Center for Process Bionics (Feb 23 – Jun 23): • Process mining and process automation with QlikSense and MPM Process mining
- Identifying BI-potentials for Operations departments & teams - Controlling Support in Data Analytics & Business Intelligence - Implementation of Power BI and creation of dashboards and reports - SYNCPILOT process Landscape support - Power BI / Excel Support - Perform Tool workshops (Excel/Power BI) - Identifying automation potentials for Operations Departments & Teams
Productmanagement and Data Analytics - Creating analyses (e.g. on booking figures, customer behavior) and statistical evaluations (e.g. A/B testing) with Excel and QlikView - Creation of ad-hoc reports for the management, the product management and the business intelligence team - Data preparation with R
Ausbildung von Christian Streibl
2 Jahre, Nov. 2020 - Okt. 2022
BWL
Universität Augsburg
Quantitative study with Major Finance and Information and courses in Econometrics, financial engineering and machine learning. Master thesis at the Chair of Statistics with the topic: "Exchange power price forecasting on the German energy market using neural networks and meteorological parameters" in cooperation with the startup alitiq.
3 Jahre und 1 Monat, Okt. 2017 - Okt. 2020
Betriebswirtschaftslehre
Universität Augsburg
Quantitative study with Major Finance and Information and courses in data mining, data analysis, corporate finance, risk management, statistics, and financial mathematics. Final grade: 1.82