SUCHANDA DEY

Developed microbial genomics data ingestion systems, designed primer development and BLAST-based validation workflows, and built automated CSV-driven scientific backends and vendor analytics frameworks to streamline data processing and procurement monitoring.

Conducted bioinformatics analyses and produced publication-ready visualizations using R and Python, automated workflows with Bash to reduce turnaround time, and delivered 10+ collaborative research projects.

Developed ML models for classification and regression on biological datasets, applied NLP for literature mining and hypothesis generation, and built end-to-end ML pipelines including feature engineering and validation.

Developed and optimized NGS pipelines for WGS and RNA-seq, performed multi-omics data integration to identify molecular biomarkers, and mentored junior researchers in bioinformatics and scientific programming.

Investigated antimicrobial resistance using comparative genomics, conducted molecular docking and molecular dynamics simulations, and published multiple peer-reviewed articles on resistance mechanisms and in silico inhibitor identification.

Doctor of Philosophy (Ph.D.) in Biotechnology investigating molecular mechanisms of colistin resistance in Klebsiella pneumoniae and identifying potential efflux pump inhibitors using in silico approaches.

Master of Science (M.Sc.) in Biotechnology focused on advanced concepts in biotechnology and applied laboratory techniques.

Bachelor of Science (B.Sc.) in Life Sciences covering foundational biological sciences and laboratory coursework.