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Location

Poland

Rate

$11  / per hour

Years of experience

3+

About

As a Data Scientist and Python Developer, I have honed my expertise in scientific research, particularly in epidemiology and microbiology. My professional journey has allowed me to apply data analysis and machine learning techniques within financial services, focusing on Anti-Money Laundering (AML). I am proficient in integrating data pipelines (ETL), executing transaction monitoring, and deploying machine learning strategies, with a particular emphasis on unsupervised learning. I have also successfully participated in Deep Learning hackathons, tackling challenges in computer vision and audio classification. My strong interest in bioinformatics, especially in DNA data analysis and taxonomy assignment using R and Python, has been a significant part of my career. From 2020 to 2023, I have been actively involved in data science and big data processing for scientific projects, preparing data for analysis, creating visualizations, and implementing machine learning models using tools like Scikit-learn and TensorFlow. My PhD journey at the Medical University of Gdańsk further refined my skills in machine learning model implementation, DevOps activities, ETL deployment, and AML automatization. Additionally, I completed a traineeship in bioinformatics at the University of Florence, Italy, focusing on DNA data processing and analysis. My educational background includes a Bachelor's degree in chemical engineering, an MSc in Chemistry, and a PhD in Health Sciences. I have also earned several certifications, including AWS Certified Machine Learning - Specialty and Microsoft Certified: Power BI Data Analyst Associate.

Tech Stack

Bioinformatics, AWS Cloud, Cloud, Data Analysis, Data Science, Machine Learning, PySpark, Python, R, SQL

Experience

  • Utilized BioPy and other tools for the analysis of next-generation sequencing (NGS) data, specifically focusing on DNA data analysis and taxonomy assignment using R/Python.
  • Conducted DNA data processing and analysis during a traineeship at the Department of Biology, University of Florence, Italy, using Python and R.
  • Implemented and evaluated machine learning models using Scikit-learn and TensorFlow, applicable to bioinformatics data analysis.
  • Prepared data for analysis and created visualizations using tools such as Seaborn, Matplotlib, PlotLy, and RStudio for scientific articles and presentations.
  • Performed statistical analysis and data analysis in RStudio and Python, crucial for interpreting bioinformatics data.
  • Prepared graphs and maps for scientific articles, contributing to publications in international scientific journals.
  • Participated in deep learning competitions, demonstrating skills in computer vision and audio classification.

Employment history

Data Scientist/Big Data Processing within Scientific Projects, Medical University of Gdańsk November 2020 - October 2023
  • Prepared data for analysis
  • Created data visualizations using Seaborn, Matplotlib, MS Excel, Plotly, Streamlit, Dash, and RStudio
  • Conducted statistical and data analysis using RStudio and Python
  • Prepared graphs and maps for scientific articles, some of which were published in international journals
  • Implemented machine learning models using Scikit-learn and TensorFlow
  • Performed bioinformatic analysis of NGS data with BioPy (Python/RStudio)
Data Scientist/Python Developer, Private banking team April 2022 - Present
  • Implemented, monitored, evaluated, and interpreted machine learning models using Scikit-learn and TensorFlow
  • Engaged in DevOps activities including Docker, VMs, and CICD
  • Deployed ETL processes using Apache Airflow and PySpark
  • Automated and monitored AML processes
  • Conducted data analysis using Python, R, and Power BI
  • Performed code reviews
  • Prepared reports and documentation
  • Maintained client communications
Trainee in Bioinformatics, Department of Biology, University of Florence, Italy June 2022 - December 2022
  • Processed and analyzed DNA data using Python and R
Deep Learning Competitions
  • Participated in a computer vision competition on AWS Cloud (June 2022 – November 2022)
  • Participated in an audio classification competition on AWS Cloud (June 2023 – September 2023)

Education history

Medical University of Gdansk, Poland 2019 - 2023 PhD in Health Sciences
Maria Curie-Sktodowska University in Lublin, Poland 2016 - 2018 M.Sc. in Chemistry (as result: 2 scientific publications)
National Technical University “Kharkiv Polytechnic Institute”, Ukraine 2012 - 2016 Bachelor's degree in chemical engineering
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