Curriculum Vitae – SREE VISHMAYA
Professional Summary
Accomplished Bioinformatician with expertise in genomic data analysis and next-generation sequencing (NGS). Proficient in computational biology, statistical analysis and machine learning, with a strong focus on large-scale omics data interpretation. Dedicated trainer and consultant, providing expert guidance on NGS workflows, data analysis techniques and bioinformatics tools. Current focus on bioinformatics consulting and operations, driving strategic planning and innovation in bioinformatics & IT solutions to advance genomics, precision medicine, and biotechnology.
Professional Skills
Bioinformatics & Genomics
- NGS Data Analysis: DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, Exome-seq, Metagenomics
- Variant Analysis: SNP/INDEL calling, Structural Variants, CNV analysis, Annotation
- Transcriptomics: Differential gene expression (DGE), isoform quantification, transcript assembly
- Functional Genomics: Gene Ontology, pathway enrichment analysis
Computational Tools & Pipelines
- Workflow Automation: Nextflow, Galaxy, Docker
- Bioinformatics Tools: FastQC, Trimmomatic, HISAT2, STAR, BWA, GATK, SAMtools, BEDTools
Programming & Data Science
- Languages: Python, R, Bash
- Data Visualization
- Machine Learning & Statistics
Data Engineering & High-Performance Computing
- HPC Systems: SLURM, parallel computing, job scheduling, resource management
Project Management & Leadership
- Team Leadership
- Consulting & Training
- Scientific Writing
Professional Experience
Bioinformatics & NGS Trainer | NextZen Academy
- Conducted bioinformatics and NGS training
- Developed course materials
- Mentored students
Head of Operations | Total Outsource Management
- Spearheaded operational strategies
- Led cross-functional teams
- Oversaw resource management
Bioinformatics Consultant | Freelancing
- Providing expert guidance and tailored solutions in bioinformatics
- Assisting in the design and implementation of bioinformatics workflows
- Supporting clients in genomic data analysis
Education
- [hidden] in Bioinformatics | SASTRA Deemed University, Thanjavur | 2021
- Project: “Machine Learning derived multiclass integrated prognostic scoring model for Acute Leukemia”
Research Experiences
- Research Intern | National Institute of Pathology- ICMR, New Delhi
- Student Researcher | SASTRA Deemed University, Thanjavur, Tamil Nadu
- Trainee (CSIR-SRTP 2020) | CSIR – NEIST, Jorhat
Publications
- Co-Author – “Early Prognosis Prediction in Acute Myeloid and Acute Lymphoid Leukemia”
- Co-Author – “Analysis of TCGA data for prognosis and risk categorization and survival using bioinformatics”
- First Author – “Integrated analysis of gene expression data reveals dysregulating factors of SWI/SNF in acute myeloid leukemia”
- First Author – “Machine Learning derived multiclass integrated prognostic scoring model for Acute Leukemia”
- Acknowledgement – “Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology”
Scientific Presentations & Lectures
- Poster Presentation
- Abstract Submission
- Paper Presentation
- Special Lecture
- Short Presentation
Certifications
- Introduction to R Software
- Microbiology Certificate Course
- Principles, Statistical and Computational Tools for Reproducible Data Science
- Emerging Respiratory Viruses, including COVID-19
- Machine Learning A-Z: Hands-On Python & R in Data Science
- Leading Change in Health Informatics
- Next Generation Sequencing (NGS) for Influenza and SARS-CoV-2
- Train the Trainer: Design Genomics and Bioinformatics
- Leadership & HR Foundations: Core HR & Leadership styles
Conferences & Workshops
- SAMHITHA’18 – National Level Biotechnology Symposium
- GENOMED 2k19 – National Level Seminar on Medical Genetics
- PRATYARTH’19 – National Level Symposium on Machine Learning Approaches in Bioinformatics
Memberships
- AMBASSADOR – Nextflow Ambassador Program
- MEMBER – SGAC, AWIS, IAENG, ERGA, NASA-Gene Lab, ISCB – RSG India
- ORGANIZER – ICSS-2020
Skills
Bioinformatics, Genomics, NGS Data Analysis, Variant Analysis, Transcriptomics, Functional Genomics, Computational Tools, Workflow Automation, Data Visualization, Machine Learning, Statistics, Data Engineering, High-Performance Computing, Project Management, Leadership, Consulting, Training, Scientific Writing
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