Isha Mehta

M.Sc. Biotechnology graduate with research experience in metabolomics and bioinformatics. Skilled in LC-MS metabolite profiling, omics data interpretation, and computational analysis using Python, R, and Linux. Experienced in pathway analysis, biomarker discovery, and NGS data workflows. Interested in applying bioinformatics and machine learning to large-scale biological datasets and translational diagnostics.

Bioinformatics & Metabolomics Research Intern - Gene Explore Research Diagnostic Centre - Ahmedabad

(2025-04 - 2025-07)

Project: Metabolomic Profiling of Euploid vs Aneuploid Embryos

• Performed LC-MS data preprocessing, metabolite annotation, and statistical comparison between euploid and aneuploid samples using spent culture media
• Conducted pathway enrichment analysis using KEGG and UniProt databases
• Identified potential metabolic biomarkers for non-invasive embryo ploidy differentiation
• Built data analysis and visualization pipelines using Python (Pandas, NumPy, Matplotlib, Seaborn)
• Applied PCA, clustering, and machine learning approaches for metabolomics data classification
• Performed NGS quality control (FastQC) and explored sequencing data analysis workflows

M.Sc. - Biotechnology - Bhupal Nobles' University (2023 - 2025)

B.Sc. - Zoology, Botany & Chemistry - Mohanlal Sukhadia University (2020 - 2023)