Anastas Choudra

• • Conducted extensive exploratory data analysis (EDA) across large and diverse datasets to uncover patterns, trends, and actionable insights.

• • Designed, implemented, and optimised machine learning models, including classical algorithms and neural networks, for prediction, classification, and pattern recognition tasks.

• • Applied natural language processing (NLP) techniques for text cleaning, feature extraction, sentiment analysis, and language-based modelling.

• • Evaluated and validated models using appropriate performance metrics, cross- validation strategies, and error analysis to ensure robustness and generalisability.

• • Produced clear technical summaries and visualisations to communicate findings, model performance, and business implications.

• • Completed 400+ hands-on data science projects spanning EDA, model development, and deployment-style evaluation workflows.

• • Conducted the experimental research to investigate the "Detection and Perception of Facial Expressions", including the collection and organisation of data for analysis.

• • Coded the experimental visual stimuli for an oddball task (Python), automating trial presentation and data recording, enhancing experimental efficiency and reliability.

• • Assisted in the fMRI unit by screening participants, preparing them, and setting up experiments for the MRI operator, which ensured smooth data acquisition and reduced setup time.

• • Operated and maintained research equipment following established protocols and best practices.

• • Recruited and scheduled participants for research studies and experiments.

• • Extracted and entered relevant scientific data and information into appropriate databases.

• • Compiled laboratory test data to perform appropriate analyses.

• • Developed specialised computer software routines to customise and integrate analysis.

• • Cleaned, maintained and prepared supplies and work areas.