Statistiker, Data Scientist, Analyst
- Verfügbarkeit einsehen
- 4 Referenzen
- 85‐120€/Stunde
- 12489 Berlin
- auf Anfrage
- de | en | fr
- 16.05.2024
Kurzvorstellung
Auszug Referenzen (4)
"N. expertise was an excellent help in creating complex dashboards and root cause analysis, has excellent enthusiasm. Would highly recommend"
10/2022 – 1/2024
Tätigkeitsbeschreibung
- Analysis and investigation of logistic flows for goods in EMEA scope
- Multi-Database-Server analysis using sequential flow methods in Power BI / Ziplabs / Python via SQL
Automobilhandel, Data Warehousing, Power Bi, SQL, Microsoft Excel
"N. ist ein persönlich und fachlich hochgeschätzter Freelancer. Er verfügt über umfassendes Know-how und liefert pünktlich."
1/2021 – 1/2024
Tätigkeitsbeschreibung
- Transformation: Transition from Excel-based portfolio optimization
routines to versatile Matlab framework
- Risk: Implementation of time-dependent, risk-based Algorithms
Asset-Management, Risikomanagement (Finan.), Portfolio-Optimierung, Simulink, Microsoft Excel
"It was a pleasure working with N.!"
1/2017 – 12/2018
Tätigkeitsbeschreibung
- Stress Testing: Analysis of Operational risks in an AMA framework
- Automatization: Development of internal processes in VBA and Web- Frontend (Python Selenium)
Risikomanagement (Finan.), Power Bi, Test Automation, Python
"Ausgezeichnete Arbeit! Nils ist ein ganz schlauer Kopf!"
1/2015 – 12/2017
Tätigkeitsbeschreibung
- Algorithms: Implementation of the dynamic portfolio optimization
algorithm Risk@Work using nonparametric bootstrapping
- Software: Back- and Frontend development in Matlab / R
Data Science, Data Mining, Data Warehousing, Simulink, Prozessoptimierung
Qualifikationen
Projekt‐ & Berufserfahrung
10/2022 – 1/2024
Tätigkeitsbeschreibung
- Analysis and investigation of logistic flows for goods in EMEA scope
- Multi-Database-Server analysis using sequential flow methods in Power BI / Ziplabs / Python via SQL
Automobilhandel, Data Warehousing, Power Bi, SQL, Microsoft Excel
1/2021 – 1/2024
Tätigkeitsbeschreibung
- Transformation: Transition from Excel-based portfolio optimization
routines to versatile Matlab framework
- Risk: Implementation of time-dependent, risk-based Algorithms
Asset-Management, Risikomanagement (Finan.), Portfolio-Optimierung, Simulink, Microsoft Excel
9/2017 – 12/2017
Tätigkeitsbeschreibung
- Auswertung und Analyse von erfassten Daten aller Milchbauern in Deutschland
- Automatisierung der erstellten Analyse im Excel-Framework via VBA
Data Science, Microsoft Excel, VBA (Visual Basic for Applications)
1/2017 – 12/2018
Tätigkeitsbeschreibung
- Stress Testing: Analysis of Operational risks in an AMA framework
- Automatization: Development of internal processes in VBA and Web- Frontend (Python Selenium)
Risikomanagement (Finan.), Power Bi, Test Automation, Python
1/2015 – 12/2017
Tätigkeitsbeschreibung
- Algorithms: Implementation of the dynamic portfolio optimization
algorithm Risk@Work using nonparametric bootstrapping
- Software: Back- and Frontend development in Matlab / R
Data Science, Data Mining, Data Warehousing, Simulink, Prozessoptimierung
Ausbildung
Humboldt Universität zu Berlin (IRTG 1792)
Berlin
Humboldt Universität zu Berlin
Berlin
Über mich
♦ Knowledge of the operational business in the financial/automotive industry and research departments, gained during my engagements with Deutsche Bank, Tesla and BVV Pensionskasse
♦ Scientific working as crucial element for analysis, utilized extensively in the research group IRTG 1792, dissertation on fractal structures in financial markets
♦ Computational implementation of statistical and financial models in nonstationary
environments, automated through BI landscape such as Power BI
♦ Automation of time-consuming internal processes, solved through python automation with BI interface as output (Tesla)
♦ Developed personal responsibility and team awareness, emerged especially while serving as antiaircraft-soldier in the Bundeswehr and teaching at HU Berlin
♦ High mental and physical resilience, organizing regular trainings of our chair for the German sports badge examination, competing in B-cup tournaments in beachvolleyball
♦ International orientation, gained through exchange studies, conferences and my participation in the International Research Training Group 1792 for “High-Dimensional Non-Stationary Time-Series
Weitere Kenntnisse
Programming: Matlab (10+y), Python (10y), SQL (8y), R (6y), VBA (3y), C++ (2y)
Visualization: Power BI (7y), LaTeX (6y), Stata (3y), Tableau (2y), Sisense (1y)
Software: E-Views (5y), SAS (3y), SPSS (2y), HTML (2y)
Server: Postgres, MySQL, Exasol, Microsoft SQL
Research Interests:
♦ Robustness in nonstationary environments
♦ High-frequency data, high-dimensional data
♦ Heavy-tailed distributions beyond Gaussianity
♦ Pricing algorithms for contribution margin maximization
♦ Evolutionary Biology: Mutation rates
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Französisch (Grundkenntnisse)
- Europäische Union
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