Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.

Enhance operational aspects of businesses by increasing control of the company's data.

Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.

Worked on a project for performing the risk prediction in kidney transplant patients in a more appropriate manner using gene expression data.

Performed data pre-processing and analysis using Python to develop an Ensemble Learning System with Particle Swarm Optimisation (PSO) approach for hyper-parameter optimization.

Led to increased predictive performance when compared with the Ensemble alone when using a random oversampling technique.

Performed course ministration for undergraduate and graduate students in Python for Bioinformatics.

Developed an appropriate instructional plan, as well as plan lessons and assignments.

Kept up to date with changes and innovations in their field and published research and analysis in books and academic journals.

Worked on the research of automated classification of ultrasonic vocalization patterns in a genetic mouse model of autism spectrum disorder.

Applied information-theoretic and statistical approaches to the study of vocalization patterns in wild-type and heterozygous Tbx1 mice, which show distinct phenotype in terms of neuronal development and social communication. Supervisor: Pilib Ó Broin, PhD

Performed data analysis, interpretation of results and co-wrote the paper.

Worked on the research of Protein Structure Prediction Algorithms and Tools, Protein Data Bank using a Data mining approach.

Performed research of Evolutionary history of RAGE family, using a systems biology approach; Geneplast using the R package development.

Held courses in the subject area Python for Bioinformatics for undergraduate and graduate students.