Maryam PahlavanNodeh
Stockhoklm
Summary
Maryam, a seasoned Data Engineer with a robust background in data modeling and warehousing, brings six years of industry experience to the table. Proficient in Python, Docker, and cloud technologies, she has successfully driven data engineering excellence and supported data-driven business objectives. Known for her expertise in collecting, processing, and interpreting large datasets, Maryam is committed to delivering high-quality results and staying abreast of technological advancements.
Overview
9
9
years of professional experience
Work History
Data Engineer
ALTEN
04.2023 - 01.2024
- Leveraged Microsoft Azure, MSSQL Server, and Databricks to drive data engineering excellence and support data-driven business objectives
- Engineered and implemented an ETL process for streaming and large datasets
- Successfully collected, cleansed, and transferred diverse data sources to Azure storage, ensuring data quality and consistency.
- Collaborating proficiently with DBT, Docker, and Azure DevOps to streamline and optimize data workflows for enhanced efficiency and productivity.
- Collaborated across teams to ensure seamless data flow, enabling timely access to critical information for decision-makers.
- Spearheaded Databricks-based expansion and optimization, resulting in a remarkable 90% reduction in stream reading time, enhancing data processing efficiency and scalability.
Software Developer
ALTEN
08.2022 - 02.2023
- Develop and maintain software solutions, adhering to project requirements and coding standards.
- Collaborate with cross-functional teams to understand software requirements and provide innovative solutions.
- Write efficient, reusable code and conduct code reviews to ensure quality and consistency.
- Troubleshoot and resolve software defects, participating in the entire software development lifecycle.
- Stay updated on emerging technologies and contribute to the improvement of software development processes.
Machine Learning Engineer
Luleå University of Technology
05.2020 - 05.2022
- Designed and developed advanced models in CV, NLP, and ASR for innovative solutions.
- Providing a tutorial for ML-Dev course, covering Git, Docker, and documentation best practices.
- Streamlined project workflows with detailed guidelines for data handling and modeling.
- Utilized a versatile technology stack, including Python, PyTorch, TensorFlow, Docker, AWS, and Scikit-learn for cutting-edge ML solutions.
- Prepared and transformed data into a clean and vectorized format tailored for Machine Learning models.
Software Developer
Taratech
08.2018 - 03.2019
- Implemented ASP-MVC scripts to enhance user experience and integrated a dashboard for SEM (System Environment Monitoring)
- The SEM dashboard reduced building inspections by 85%.
Web Developer
ARAmooz
10.2017 - 09.2018
- Orchestrated website development, translating mockups into a functional web presence using Vue.js, enhancing user experience and aesthetics.
- Enhanced data retrieval efficiency by designing a data scheduler to pull information from the server, resulting in a 30% reduction in server loads.
Software Developer
ETick
07.2015 - 08.2017
- Collaborated closely with hardware engineers, utilizing Keil and C++, to develop comprehensive embedded solutions, ensuring seamless integration of software and hardware components.
- Spearheaded cross-functional discussions to identify and define detailed requirement specifications for new devices, fostering clear project objectives and alignment across teams.
- Implemented an innovative offload method, resulting in an impressive 80% reduction in network traffic, optimizing system performance.
Education
M.Sc. - Software Engineering
Sadjad University
Mashhad04.2017
Publication
• “Detecting COVID-19 from cough recording using CONVNets and
classical ML methods” Maryam Pahlavan Nodeh et. Al. DiCova2
challenges, under review.
• “Småprat: DialoGPT for Natural Language Generation of Swedish
Dialogue by Transfer Learning”, Authors: Tosin Adewumi, Maryam
Pahlavan, et al. NLDL 2022, Jan 2022
• “Utilization of deep learning method for structural components
detection based on point cloud segmentation”, Ali Mirzadeh,
Maryam Pahlavan, EUROSTRUCT 2021, March 2021, Italy
• “Detecting COVID-19 from audio recording of coughs using
Random Forests and Support Vector Machines”, Isabella
Teaching
Adjunct Professor
• Sanabad University, Golbahar, Iran, 2012-2019
• Quchan University, Quchan, Iran, 2008–2009
• Khayyam University, Mashad, Iran, 2007–2012
Interests
Swimming, Running, Playing 3tar, Psychology and Philosophy, Hiking and Camping, Workout, Mindfulness.
Timeline
Data Engineer
ALTEN
04.2023 - 01.2024
Software Developer
ALTEN
08.2022 - 02.2023
Machine Learning Engineer
Luleå University of Technology
05.2020 - 05.2022
Software Developer
Taratech
08.2018 - 03.2019
Web Developer
ARAmooz
10.2017 - 09.2018
Software Developer
ETick
07.2015 - 08.2017
M.Sc. - Software Engineering
Sadjad University