Location
PolandRate
Years of experience
8+About
Since June 2021, I have been working at Roche as a Senior R Developer, focusing on diverse software and data solutions. Initially joining as an R Developer, my responsibilities expanded from developing web applications using PostgreSQL and REST APIs in Python with Flask, to migrating these applications to AWS and rewriting all codes from R to Python. I have also led the design and development of a complex XML data validation and processing pipeline, converting it to HTML with XSLT files using Python's lxml.etree and lxml.html. Before Roche, my career path began at Analyx Poznań, where I served as an Advanced Data Scientist until April 2020, and then as a Data Analyst at PSI Polska Poznań. My roles encompassed developing REST APIs with machine learning models on the backend, customer segmentation in the energy market, web scraping for data collection, and marketing mix modeling. My technical expertise is robust in R, Python, SQL, Docker, and Linux, and I have a strong academic background with a Master’s degree in Financial and Actuarial Mathematics from Adam Mickiewicz University in Poznań. I continually enhance my skills through various certifications and conferences, contributing actively to community knowledge sharing.Tech Stack
R, AWS and Cloud, Bash, C++, Docker, Git, Jira, Linux, PostgreSQL, Python, REST APIs, SQLExperience
- Using PostgreSQL at the back-end to develop robust web applications.
- Crafting REST APIs using Python with Flask, integrating these APIs with machine learning models for enhanced backend functionality.
- Transitioning the app environment to AWS and rewriting all R codes into Python, optimizing application performance and scalability.
- Designing and developing a pipeline to validate, process, and convert XML data into HTML using XSLT files with Python tools such as lxml.etree and lxml.html.
- Implementing web scraping using Python and Selenium to collect data for analysis and modeling.
- Developing statistical models to analyze the effectiveness of various marketing strategies.
- Automating multidimensional data processing and maintenance of ETL processes to feed applications with data from various sources, alongside maintaining bash scripts for operational efficiency.
Employment history
- Web App development using PostgreSQL at the back-end
- REST API development (Python: Flask)
- R package development
- Migration of the app environment to AWS along with rewriting all R codes into Python
- Design and development of a pipeline for XML data validation, processing and converting into HTML based on XSLT files (Python: lxml.etree, lxml.html)
- REST API development with ML model on a back-end (Python: Flask, scikit-learn; Docker)
- Customer segmentation in energy market
- Using Linux virtual machine and Docker images during ML models developing
- Web scraping (Python: Selenium)
- Marketing mix modelling
- Reporting applications development (R: Shiny; SQL)
- Teamwork and project flow optimization
- Client support
- Automatizing of multidimensional data processing – development of ETL process feeding a Shiny application with data coming from variety of data sources (in R on Linux; using Bitbucket for version control, creating package for handling functions, implementing unit testing and mail alerting for handling errors)
- Maintenance bash scripts
- Analyzing data and creating reports in Python and R
- Preparing documentation and presentations in English
Education history
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