Neringa Pannem

I am contributing to real-world, impact-driven projects at Omdena, collaborating with global teams to address challenges through data-driven solutions. This role provides hands-on experience with machine learning, fosters technical and practical skill development, and enhances my understanding of project workflows while enabling meaningful contributions.

Project-based, practice-orientated, remote, collaborative training. • SQL querying and database modelling using MySQL Workbench • Python, Pandas, Numpi, Matplotilib, Seaborn: Data cleaning and initial visualisation • Data Visualization with Python (Matplotlib and Seaborn) and Tableau • Machine Learning (K-Means clustering, ScikitLearn)

Collecting, processing, testing and analysing (microscope and other analysers) of blood and other body fluid samples (children and adults). Documentation in the computer system. Carrying out regular quality controls.

Taking blood samples and urological smears. Preparing, testing and analysing blood and other body fluid samples. Patient reception and care. Administrative work; appointment coordination; measuring blood pressure; sterilising instruments using an autoclave; preparing treatment rooms.

This certificate signifies the completion of a 24-week Data Analytics & Data Engineering Bootcamp at Women AI Academy. The program covered 560 lesson units, including topics such as cloud computing (AWS), Python for data analytics and engineering, data visualization (PowerBI, Tableau), ETL pipeline

Bachelor's Paper: Title: The Composition and Diversity of Testate Amoebae (Sarcodaria, Thecolobosea) in Moss (Pleurozium schreberi) Final Mark: 9/10

Diploma Project: The Microbiological Investigation on Pathogens of Purulent Dermal Infections and the Importance of Identification of a Sensibility to Antibiotics. Final Mark: 9/10