Scania CV AB
Data Scientist – Parts & Services
Södertälje, Sweden
Jun 2024 – Present
Designed and implemented a constrained optimization model to generate pricing recommendations for aftermarket services. The objective function incorporated vehicle telematics, historical claim data, and business rules such as coverage tiers and pricing bounds. Feature engineering and pipeline construction were performed using Snowflake SQL to parameterize model inputs.
Prototyped a computer vision pipeline using the YOLO architecture to classify vehicle parts from workshop submitted images, with a proposed design for a feedback loop to flag low-quality or misaligned inputs.
Built and productionized a supervised learning pipeline to automate warranty claim assessment, replacing manual product manager reviews with a multi-input classifier leveraging both structured fields and unstructured diagnostic text from historical claims data.
Contributed to internal Scania hackathons:
- Developed a historical-data-driven model to predict the internal payer for incoming warranty claims
- Built a React-native mobile application enabling Scania employees to coordinate carpooling and expense sharing, supporting driver/passenger registration and route planning
Master Thesis Worker – Connected Loop
Aug 2022 – Feb 2023
Researched Generative Adversarial Networks (GANs) in federated learning for time series data, exploring model compression and edge optimization with CNN and LSTM models using PyTorch and TensorFlow.
Work published in IEEE: [Publication Link]
Machine Learning Engineer at Ekkono Solutions
Varberg, Sweden
Jun 2023 - May 2024
Lead edge machine learning projects for automation in industrial and medical devices, focusing on condition monitoring, anomaly detection and predictive maintenance.
Work closely with data scientists and senior developers to tackle real-world problems using edge machine learning, contributing to advanced data analysis and efficient solution implementation in edge environments.
Involved in an EIC grant, researching and developing federated learning for edge machine learning, enhancing expertise in signal processing and practical applications.
Automation Engineer [Internship] at NorthVolt
Skellefteå, Sweden
Apr 2021 - Sep 2021
During my internship at NorthVolt, I contributed to the construction of the NorthVolt Ett Giga-Factory, a landmark project in the green energy industry. It was an enriching experience working in a diverse, global environment alongside colleagues from over 85 nationalities.
I successfully managed multiple concurrent projects that involved outsourcing of automated equipment. This provided me with hands-on experience managing high-speed process equipment, including conveyor belts, robot arms, and AGVs.
My responsibilities also involved driving progress towards key project milestones, including design approvals, factory acceptance tests (FATs), and site acceptance tests (SATs), ensuring the timely completion of project goals.
Product Engineer at Global Drain Technologies
Winnipeg, Manitoba, Canada
Dec 2019 - Aug 2020
As a Product Engineer at Global Drain Technologies, I designed and brought a new product line to market, overseeing the entire process from ideation to production. This role provided me with hands-on experience in sheet metal fabrication, press brakes, laser cutting, and stainless steel welding.
I applied stress analysis techniques to optimize material usage and design for performance and durability. Moreover, I collaborated closely with production to ensure feasibility of designs and facilitate efficient fabrication.
For more details about my portfolio at GDT, please visit [here].
Manufacturing / Industrial Engineer at Hylife Ltd
Neepawa, Manitoba, Canada
May 2017 - Dec 2019
In a fast-paced environment at Hylife Ltd, I thrived in managing multiple responsibilities concurrently. I commissioned a new Feed Mill and worked closely with contractors to troubleshoot deviations and deficiencies, successfully ensuring timely delivery of the project.
I developed and implemented project charters, fish-bone diagrams, and 5-Why analyses to identify and address root causes of production issues. I also collaborated with cross-functional teams to plan and execute Kaizen, 5S, and JIT initiatives, resulting in significant efficiency gains and cost savings.
Furthermore, I designed JavaScript simulations to predict equipment performance, streamlining decision-making processes.
For more details about my portfolio at Hylife, please visit [here].
Production Assistant at Winpak
Winnipeg, Manitoba, Canada
May - Aug 2016
In the role of a Production Assistant at Winpak, I assisted manufacturing supervisors in technical and administrative tasks. I also closely collaborated with the machine operators in a fast-paced environment.
My responsibilities included performing spot diagnoses for daily problems encountered on the production floor. This role gave me a strong foundational understanding of the dynamics of production floor work.