About
Biotechnology graduate with hands-on experience in bioinformatics, computational biology, and computer-aided drug design. Skilled in biological data analysis, computational research workflows, analytical reporting, and scientific documentation.
Education
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2026
B.Tech in BiotechnologyGandhi Academy of Technical EducationAwarded by JNTUHBiotechnology · 2022 – 2026
Skills
Tools / apps / platforms
Projects
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Clinical SAS, SAS Studio, PROC SQL
Executed ETL pipelines, exploratory data analysis, dataset merging, and analytical reporting using SAS Studio.
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Python, Biopython, Matplotlib
Developed a toolkit for FASTA validation, ORF identification, transcription, translation, restriction-site analysis, and biological sequence visualization.
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Comparative genomics, subtractive proteomics, homology modelling, molecular docking, ADMET profiling, ZINC12, PubChem
Analyzed 28 MPXV genomes, identified conserved orthogroups, and narrowed them to non-host homologous essential targets; documented computational findings.
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BLASTp, UniProt, ExPASy, InterPro, PubChem, AutoDock Vina, CABS-flex 2.0, ADMETlab 3.0
Built an in silico drug discovery pipeline using subtractive proteomics and phylogenetic analysis for target validation; screened 2,064 analogs and prioritized 7 lead compounds through docking, RMSF, and DFT analysis.
Courses & certifications
- Coding for Biologists · BioGrademy
- AI/ML in Bioinformatics · Biotecnika
- Bioinformatics Research Internship · Biotecnika
- Clinical SAS · Tech Mindsparc