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Hi, I'm a passionate Bioinformatics student with a keen interest in Data Analysis, Data Science, and Bioinformatics. With a year of experience under my belt, I'm actively seeking opportunities to bring innovative solutions to forward-thinking projects in a dynamic company environment.

Iā€™m great fan of foreign languages (currently working on German šŸ‡©šŸ‡Ŗ and Mandarin šŸ‡ØšŸ‡³ skills), cuisines šŸ„Ÿ and cultures. I love reading literature in their native language šŸ“–, listen to English and German music (Linkin Park and Rammstein fan here šŸŽø) - but still open to new foreign experiences šŸ¤©.


Key Skills

  • Programming Languages & Tools: Python, R, SQL, Linux, Command Line, Git, Julia, Docker, Snakemake
  • Bioinformatics: Proficient in NGS data analysis, biostatistics, and familiar with essential databases such as NCBI and GenBank
  • Soft Skills: Teamwork, effective communication, adaptability

Languages

  • Dutch: Limited working proficiency
  • English: Full professional proficiency
  • German: Limited working proficiency
  • Polish: Native

Current Projects

Below is a detailed look at some of the projects I've been involved in, highlighting my skills in bioinformatics and data analysis. Please visit the Projects section on GitHub to explore these works further.

  • Analysis of Genetic Markers for Canine Diseases: Using tools like Plink and SNPassoc to identify SNP markers.
  • Automated Genomic Analysis Pipeline: Employed Snakemake for streamlined processing of genomic data.
  • CHIP-seq for Gene Target Identification: Analyzed gene interactions to understand cellular processes.

Daria Plewa's Projects

adult icon adult

The project focused on using Machine Learning (glm function on data Adult) in R. The goal of it was to develop a model that predicts a person's income (under 50k per year or over 50k per year).

analiza_danych_projekt icon analiza_danych_projekt

Finding mutations in genomic data with the use of the chi2 test and Parallel functions in Python and R

bachelor_thesis icon bachelor_thesis

The performance of individual CNV detection software and state-of-the-art sequencing. All analyses were performed using the Python and R programming languages.

chip-seq icon chip-seq

This project explores the PBRM1-PIAS1 interaction in epithelial differentiation through ChIP-seq analysis, highlighting EZH2's role and implications for cholesterol biosynthesis in cellular processes.

data_visualisation icon data_visualisation

Here I commit my projects of data cleaning and (mostly) visualization in tools such as Excel, Power BI, and Tableau.

evolutionary_genetics icon evolutionary_genetics

Investigating HIV subtype evolution through maximum-likelihood and GTR model analysis, focusing on clade formation and genetic diversity. Utilizing BEAST for HIV-1 sequence analysis to estimate evolutionary rates and MRCA, highlighting subtype diversification.

genomics_project icon genomics_project

Genomic Analysis of Canis lupus with the use of Genomic Maps and Philogenetic Trees

lims_database icon lims_database

Project of Medical Database with the possibility of logging for users and adding new data to base

master_thesis icon master_thesis

Analysis of SNPs that have the greatest impact of appearance of mammary gland tumour in dogs.

methods_of_genetic_evaluation_of_animals icon methods_of_genetic_evaluation_of_animals

The project focused on the analysis of foxes from 3 different farms and the subsequent presentation of trait heritability results, genetic trends, breeding values and relationship matrix.

monte_carlo icon monte_carlo

Estimation of the Shapiro-Wilk test using the Monte Carlo method.

pca icon pca

PCA analysis of GUS data

pipeline_with_snakemake icon pipeline_with_snakemake

Genomic Analysis Pipeline: Automate data preprocessing, variant calling, and annotation with Snakemake. Ensure reproducibility and reliability in genomic studies.

population_genetics icon population_genetics

Analyzing genetic variation and selection in three-spined stickleback populations, these projects apply statistical and evolutionary genomic analyses to understand environmental influences and identify outlier SNPs, highlighting the interplay between natural selection and population differentiation.

quantitative_genetics icon quantitative_genetics

This project leverages PLINK for GWAS Quality Control, focusing on SNP analysis and PCA for ancestry insights, showcasing the vital role of bioinformatics in enhancing population genetics research.

spatial_analysis icon spatial_analysis

This project conducts spatial analysis on lung cancer tissue using Scanpy and data from 10x Genomics, focusing on preprocessing, quality control, and functional analysis of spatially variable genes. Insights into the molecular heterogeneity of lung cancer are uncovered, highlighting regions of interest for further research.

survival_analysis icon survival_analysis

This project focuces on analysis of survival patients with Aids, with Python library Lifelines

tf_cnn icon tf_cnn

The aim of this project was to create a classification model for patients with suspected brain tumour development based on MRI images with Keras and TensorFlow.

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