Vaibhav Devarahatty

B.E. Biotechnology (Minor: Economics & Finance) — CGPA 8.56

Higher Secondary — PCM + Biology

Rajiv Gandhi Centre for Biotechnology (RGCB)

• Identified research workflow bottlenecks and designed structured analytical solutions under strict project timelines.
• Automated biological data-processing workflows using Python and R, improving reproducibility and reducing manual effort.
• Analyzed large-scale sequencing datasets to generate actionable biological insights supporting research objectives.
• Documented methodologies and communicated findings through technical reports and presentations.
• Collaborated with researchers to improve workflows, troubleshoot challenges, and ensure successful project execution.

• Identified reproducibility and onboarding friction in Ribo-seq workflows; built a modular five-phase pipeline with YAML-based single-command execution.
• Improved developer experience and pipeline reliability by eliminating hardcoded paths, standardizing environments, and implementing runtime safety checks after resolving a failure affecting 16,000+ ORFs.

• Built and evaluated Random Forest, SVM, and Voting Classifier models on ~90 patient samples for survival prediction.
• Achieved ~66% accuracy and AUC ~0.64, with Random Forest delivering the strongest performance.
• Integrated mutation, RNA-seq, and clinical datasets into a unified preprocessing and modeling workflow.
• Reduced feature space to the top 100 genes using feature importance ranking and PCA validation.
• Identified clinically relevant survival-associated biomarkers including BMP5, CTLA4, and NEIL3.

• Designed a relational SQL database with 7 linked tables to improve data integrity and query efficiency.
• Wrote optimized SQL queries for complex joins and analytical reporting.
• Built interactive Tableau dashboards with dynamic filters and calculated fields for intuitive data exploration.