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Location

Poland

Rate

$50  / per hour

Years of experience

7

About

As an experienced MLOps Consultant, I have a solid background in machine learning operations and data science, with a strong foundation in both theoretical and practical aspects of the field. In my current role at Billennium, I utilize my expertise in Python, MLOps, SQL, and AWS to design and implement scalable machine learning pipelines, ensuring seamless integration and deployment of models. My responsibilities also include monitoring and optimizing these pipelines to enhance performance and reliability, leveraging my knowledge in both software development and data science. Previously, I worked as a Data Science Consultant at AKKA Technologies, where I provided expert guidance on data-driven projects, and as a Data Scientist at Alstom, where I developed predictive models to support business decisions. My academic background includes a Master's degree in Data Science and a Bachelor's degree in Information Technology from Coventry University. With proficiency in multiple programming languages such as Python, Java, and C++, as well as experience with big data technologies like Hadoop, I am well-equipped to tackle complex data challenges. Fluent in English and a native Polish speaker, I am capable of communicating and collaborating effectively in diverse environments.

Tech Stack

MLOps, AWS, C++, CSS, Data Science/AI, Hadoop, HTML, Java, JavaScript, MySQL, Python

Experience

  • Designing and Implementing Machine Learning Pipelines: Developing and maintaining scalable machine learning pipelines to ensure seamless integration and deployment of models.
  • Monitoring and Optimizing Pipelines: Continuously monitoring and optimizing ML pipelines for enhanced performance and reliability.
  • Model Deployment and Integration: Deploying machine learning models into production environments, ensuring they are integrated with existing systems.
  • Data Analysis and Predictive Modeling: Developing predictive models to support business decisions and provide actionable insights.
  • Consulting on Data-Driven Projects: Providing expert guidance on data science projects, helping organizations leverage data for strategic advantages.
  • Collaboration with Cross-Functional Teams: Working closely with data engineers, software developers, and other stakeholders to ensure successful project outcomes.
  • Utilizing Big Data Technologies: Leveraging big data tools and technologies like Hadoop to handle large datasets and complex data processing tasks.

Employment history

MLOps Engineer, Billennium May 2021 – Present

• Designed and developed robust and scalable machine learning pipelines to automate the end-to-end ML workflow, from data ingestion to model deployment.
• Integrated various tools and frameworks such as TensorFlow, PyTorch, and MLflow to facilitate model training, evaluation, and deployment.
• Monitored the performance of deployed models and pipelines, using tools like Prometheus and Grafana to track metrics and identify issues.
• Optimized the pipelines for efficiency, reducing latency and improving throughput by fine-tuning model parameters and leveraging parallel processing.
• Deployed machine learning models into production environments, using containerization tools like Docker and orchestration platforms like Kubernetes to ensure seamless integration.
• Created and maintained comprehensive documentation for ML pipelines, deployment processes, and performance metrics, providing clear guidelines and references for the team.

Data Science Consultant, AKKA Technologies February 2019 - August 2020

• Evaluated client requirements and assess project feasibility, providing expert guidance on the best data science approaches and methodologies.
• Designed tailored data science solutions to address specific business challenges, leveraging my expertise in machine learning, statistical analysis, and predictive modeling.
• Developed and validated predictive models using various machine learning algorithms, ensuring accuracy and reliability of predictions.
• Preprocessed and cleaned large datasets to ensure quality and consistency, using techniques such as data normalization, feature engineering, and data augmentation.
• Performed exploratory data analysis to uncover patterns, correlations, and insights that inform business decisions.
• Created visualizations and reports to communicate findings and insights to stakeholders, using tools such as Python’s matplotlib, seaborn, and libraries like Pandas and Numpy.
• Conducted workshops and training sessions to educate clients on data science concepts, tools, and best practices, ensuring they have the skills to leverage data effectively.

Data Scientist, Alstom June 2019 - February 2020

• Designed and implemented predictive models to analyze and forecast various operational parameters, such as equipment performance and maintenance needs.
• Selected appropriate machine learning algorithms based on project requirements and data characteristics, ensuring accurate and reliable predictions.
• Gathered data from various sources, including sensors, databases, and external systems, ensuring comprehensive and relevant datasets for analysis.
• Preprocessed and cleaned the data to remove inconsistencies, handle missing values, and transform it into a suitable format for analysis.
• Conducted exploratory data analysis to identify patterns, correlations, and trends within the data, providing valuable insights for decision-making.
• Created visualizations using tools like matplotlib, seaborn, and other Python libraries to effectively communicate findings and insights to stakeholders.
• Worked closely with engineers, domain experts, and other stakeholders to understand project requirements, share insights, and ensure alignment on objectives.

Education history

Coventry University 2016 - 2018 Master’s / Data Science, Coventry University
Coventry University 2012 - 2016 Bachelor’s / Information Technology, Coventry University
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