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Location

Poland

Rate

$35  / per hour

Years of experience

7+

About

I am a Senior Data Scientist with extensive experience in building and managing machine learning solutions tailored to customer use cases. My expertise includes leveraging tools like TensorFlow, Databricks, and Azure ML, including OpenAI Service and ChatGPT. I lead projects from ideation to deployment, working closely with teams and end-users to create data science solutions that address complex business challenges. My technical skills are complemented by hands-on experience with deep learning algorithms, natural language processing, time series forecasting, and spatial analysis, all of which I visualize using tools like Power BI and Tableau. Before my current role, I worked as a Data Scientist where I designed and implemented statistical and machine learning models to solve diverse business problems, ranging from recommendation systems to predictive analytics. I also have a strong academic background, holding a Ph.D. in Information Management with a focus on Advanced Data Analytics and Information Systems Management. My academic and professional experiences have provided me with a solid foundation in both theoretical and applied data science, enabling me to deliver innovative and effective AI/ML solutions.

Tech Stack

AI, Azure DevOps, ChatGPT, MySQL, Numpy, Pandas, PostgreSQL, Power BI, PySpark, Python, SQL, Tensorflow

Experience

  • Leading the development and management of machine learning solutions tailored to customer use cases, utilizing tools like TensorFlow, Databricks, and Azure ML.
  • Applying deep learning algorithms to various areas, including natural language processing (NLP), time series forecasting, and spatial analysis.
  • Leading and delivering AI/ML solutions as part of larger projects or as standalone initiatives, ensuring they meet business objectives.
  • Designing data models and ETL pipelines to efficiently meet business requirements and support data-driven decision-making.
  • Visualizing analytical results using leading tools such as Power BI and Tableau to enhance data interpretation and business impact.
  • Working in multi-disciplinary teams, collaborating with business consultants, client engagement teams, solution architects, and data engineers.
  • Conducting research for advanced analytics projects and documenting best practices for data science within the organization.

Employment history

Senior Data Scientist, ISS World Services February 2022 - Present
  • Developed and managed machine learning solutions for customer use cases using TensorFlow, Databricks, and Azure ML.
  • Applied deep learning algorithms to NLP, time series forecasting, and spatial analysis projects.
  • Led AI/ML projects from ideation to deployment, ensuring alignment with business objectives.
  • Visualized analytical results using Power BI and Tableau to enhance data interpretation and decision-making.
  • Conducted research and investigation for advanced analytics projects, documenting best practices for the organization.
  • Collaborated with cross-functional teams to integrate AI-driven features seamlessly across platforms.
Data Scientist, Atos S.A. February 2019 - January 2022
  • Researched, designed, and implemented statistical and machine learning models to address diverse business challenges.
  • Developed data models and ETL pipelines to meet business requirements efficiently.
  • Led the delivery of innovative technical solutions, overseeing the full development lifecycle from gathering requirements to deployment.
  • Collaborated with multidisciplinary teams, including business consultants, client engagement, and solution architecture teams.
Research Assistant, University of Lodz October 2019 - March 2022
  • Conducted research in green finance and panel econometrics, focusing on government policies affecting globalization.
  • Analyzed data to evaluate the impact of policy decisions on financial systems.
  • Collaborated with academic teams to publish research findings in peer-reviewed journals.
  • Presented research at academic conferences to contribute to the broader economic discourse.
Infobroker, Centre for Industrial Applications of Mathematics and Systems Engineering (CIAMSE) March 2016 - June 2016
  • Forecasted the probability of future events using statistical models.
  • Monitored the progress of projects and predicted their outcomes based on data analysis.
  • Evaluated the potential of innovative products for market implementation.
  • Provided insights and recommendations to support strategic decision-making.

Education history

Nicolaus Copernicus University in Toruń 2020 - 2022 PhD in Management Sciences - Faculty of Economic Sciences and Management
University of Warmia and Mazury in Olsztyn 2019 -2020 Postgraduate studies in Data Science
Nicolaus Copernicus University in Toruń 2012-2015 Msc in Economics - Faculty of Economic Sciences and Management
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