**Veena C**
[hidden] Bioinformatics – *pursuing*
Bengaluru-560041, Karnataka
**Career Objective:**
Motivated MSc Bioinformatics student with expertise in R, Python, transcriptome analysis, metagenomics, and NGS data. Experienced in bioinformatics databases for drug discovery and genomics research. Strong communicator and team player, committed to delivering accurate, detail-oriented results in research or industry settings.
**Education:**
– **Master of Science** in Bioinformatics
REVA University, Bengaluru
*Aug 2023 – Jun 2025* (Currently Pursing)
– **Bachelor of Science** in CZBt (Chemistry, Zoology, Biotechnology)
NMKRV Bengaluru
*Oct 2020 – Aug 2023*
**Academic Projects:**
1. **Network Pharmacology-Based Approach to Screen Phytochemicals Against NSCLC (ongoing)**
Identifying potential natural phytochemicals that could effectively help in the treatment of NSCLC.
2. **Transcriptome Analysis of the Mus musculus and Danio rerio datasets (2023)**
Conducted transcriptome analysis of zebrafish and mouse datasets using RNA-Seq and DESeq2 for functional annotation, differential expression, and regulatory network identification. Proficient in EMBL-ENA, NCBI, and transcriptomic data processing.
3. **Isolation and Screening of Bacteria from Rhizosphere of Medicinal Plants (2023)**
Effectively identified bacteria present in the rhizosphere of medicinal plants such as Bryophyllum, Brahmi, and Mexican Mint (Doddapatre).
4. **Identifying Natural Phytochemicals that Can Treat Epilepsy Effectively Through Network Pharmacology and Molecular Docking (ongoing)**
**Certifications:**
– MATLAB Onramp certificate, MathWorks, 2024
– Computational drug discover certificate, Scientific Bio-Minds, 2024
– Metagenomics data analysis certificate, mediomix, 2024
– AI in Healthcare – Great learning 2024
**Technical Skills:**
Computational Drug Discovery, Data Analysis, Microarray Analysis, High-Throughput sequencing data Analysis (Transcriptomics – RNAseq analysis), Metagenomic Data Analysis, Docking Studies, Network Analysis, Differential Gene Expression analysis. Using AI and ML for analyzing the data.
**Programming Skills:**
Python and Python Libraries, Basics of Linux, R programming, Artificial Intelligence and Machine Learning algorithms.
**Tools and Software’s:**
Cytoscape Network Analysis, BLAST, Swiss Model, Hyperchem, Chemsketch, Autodock and Biological Databases (NCBI, gene cards, PDB), and Microsoft Office for documentation and reporting.
**Soft Skills:**
Communication skills, Analytical skills, Project Management, Critical Thinking, Decision-Making, Time Management, Effective team collaboration, Active Listening & learning, Multitasking Abilities.
**Keywords:**
Programming Languages, Python, R, Linux, Drug Discovery, Cytoscape, Data Analysis, Autodock tools, Metagenomics Data Analysis.
Cover Letter:
**Dear Hiring Manager,**
I am excited to apply for the Genome Analyst position at MedGenome Labs Ltd. I’m pursuing my MSc in Bioinformatics at REVA University, currently I’m working as a **Project Intern at theraCUES**, where I focus on **single-cell RNA-seq analysis**. My expertise spans **NGS data analysis, transcriptomics, metagenomics, and differential gene expression analysis**.
Proficient in **Python, R, and Linux**, I have worked on projects involving **transcriptome analysis of _Mus musculus_ and _Danio rerio_** and **network pharmacology-based drug discovery**. Additionally, I have hands-on experience with **Cytoscape, BLAST, and Autodock**, VCF analysis enabling me to process and interpret complex genomic datasets effectively.
With a strong foundation in sequencing data analysis and computational genomics, I am eager to contribute my skills to your team. I look forward to the opportunity to discuss my suitability for this role.
**Best regards,**
Veena C
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