Nursultan Ornov

Data Engineer

Stuttgart, Baden-Württemberg, Germany9 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in data engineering and analytics for automotive applications.
Proven track record in optimizing data-driven decision-making processes.
Strong background in machine learning and IoT data analysis.

Stackforce AI infers this person is a Data Engineer specializing in Automotive data analytics and IoT solutions.

Contact

Skills

Core Skills

Data EngineeringData AnalysisAutomotive Engineering

Other Skills

Microsoft AzureCloud InfrastructureIoTContinuous Integration and Continuous Delivery (CI/CD)Extract, Transform, Load (ETL)Machine LearningContinuous IntegrationContinuous Delivery (CI/CD)Data VisualizationGitHubInternet of Things (IoT)Data ModelingCustomer DataCommercial VehiclePython (Programming Language)

About

My ultimate goal is to make a noticable contribution in a more sustainable future of our society.

Experience

9 yrs 4 mos

Total Experience

3 yrs 1 mo

Average Tenure

6 yrs 7 mos

Current Experience

Daimler truck ag

2 roles

Data Engineer

Promoted

Feb 2023 – Present · 3 yrs 3 mos

Contributed to numerous project decisions with proven cost savings through IoT time-series data analysis with.
Reduced data-to-impact time by leading a project to develop CI/CD and ETL concepts, accelerating insights from time series data.
Enhanced Root-Cause Analysis for field failures by developing a machine learning (ML) algorithm for anomaly detection in telematics data.
Established an internal center of expertise for real-world customer vehicle energy consumption.

Microsoft AzureCloud InfrastructureData EngineeringData Analysis

Simulation Engineer

Sep 2019 – Jan 2023 · 3 yrs 4 mos

Developed simulation models for HV/LV systems, focusing on vehicle-wide energy consumption. Leveraged data analytics to extract actionable insights, leading to significant performance improvements.
Performed thermal and electrical simulations for HV/LV components in commercial vehicles, using data-driven methods to validate product designs during early development stages.
Contributed to the optimization of an EV charging algorithm by integrating simulation and data analysis techniques, improving charging efficiency and customer satisfaction.

Continuous IntegrationContinuous Delivery (CI/CD)Data VisualizationData EngineeringData Analysis

Valeo siemens eautomotive

Resident Ingenieur in Großraum Stuttgart

Feb 2018 – Aug 2019 · 1 yr 6 mos · Sindelfingen, Baden-Württemberg, Germany

[English below]
[Deutsch]
Inbetriebnahme von Elektrischen Antrieben an Prüfständen und in Fahrzeugen
Systemintegration von HV-Inverter und eDrive Systemen
Teilnahme an Fahrzeugerprobungen
Unterstützung von „System Release“ und „System End of Line“ Tests bei externen Prüfhäusern
Erstanalyse von Auffäligkeiten
Schnittstelle für die technische Kommunikation zwischen Entwicklern und Kunden
[English]
Commissioning of e-Drive systems on customer testbenches and vehicles
System integration of HV-Inverters and e-Drives on emulator testbenches
Participation at vehicle testing
Support of "System Release" and "System End-of-Line" tests at external test-houses
First hand analysis of system misbehavior and defects
Providing an interface for technical communication between developers and the customer