Ramitha Hosur
Bioinformatics Professional
Bengaluru-561203, Karnataka
Career Objective
MSc Bioinformatics student with expertise in metagenomics and bioinformatics tools. Proficient in data analysis and drug discovery research using bioinformatics databases. Strong communication and teamwork abilities. Seeking an entry-level role to apply and further develop skills in a dynamic organization.
Academic Projects
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Computational Approaches in Drug Discovery for Liver Cancer: Innovations and Insights
Developed computational models to identify and validate potential therapeutic targets for liver cancer. Performed molecular docking studies to analyze interactions between natural compounds and target proteins. Evaluated binding affinity, achieving a notable score of [hidden] kcal/mol for the natural compound Daidzin.
Outcome: Demonstrated Daidzin’s potential as a lead compound for liver cancer therapy.
Tools Used: PyRx, Discovery studio bioinformatics software for analysis and visualization.
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Transcriptomic Analysis of Danio rerio and Mus musculus Datasets (2023)
Conducted comprehensive transcriptomic analysis on zebrafish and mouse datasets to identify gene expression patterns and regulatory pathways.
Utilized tools such as FastQC, Trimmomatic for quality check, BWA and Bowtie2 for alignment, FeatureCounts for data processing, differential expression analysis (Deseq2), and functional annotation.
Analyzed the impact of various experimental conditions on gene expression.
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Estimation of Keratinase Activity from Keratin Powder Using Bacillus subtilis (2023)
Conducted a comprehensive study on the enzymatic degradation of keratin using Bacillus subtilis, focusing on optimizing conditions for maximal keratinase activity.
Skills And Abilities
Technical Skills:
- Computational Drug Discovery (Molecular Docking, Binding Affinity Analysis)
- Transcriptomics (RNA-Seq, Differential Expression Analysis using DESeq2, EdgeR)
- Metagenomics Data Analysis
- Network Analysis and Pathway Annotation
Programming Skills:
- Python (with libraries such as Matplotlib, Pandas, NumPy, Tkinter)
- R programming (Bioconductor)
- Basics of Linux, AI, and Machine Learning algorithms
Tools and Softwares
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
Education
| Qualification | Institution | Percentage/CGPA | Year of Passing |
|---|---|---|---|
| MSc Bioinformatics | REVA University | [hidden] | 2025 |
| BSc Biotechnology | MES College of Arts, Commerce and Science | [hidden] | 2023 |
| PUC | Presidency College | [hidden] | 2020 |
| SSLC | MSV Public School | [hidden] | 2018 |
Certifications
- MATLAB Onramp certificate, MathWorks, 2024
- Computational drug discovery certificate, Scientific Bio-Minds, 2024
- NPTEL Certificate on Genome Editing And Engineering
- Metagenomics data analysis certificate, Mediomix, 2024
- AI in Healthcare – Great learning 2024
Languages Known
English, Kannada, Telugu, Hindi
Keywords:
Computational Drug Discovery, Transcriptomics, Metagenomics, Network Analysis, Python, R Programming, Linux, Bioinformatics
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Cover Letter:
[hidden] Ramitha
MSc Bioinformatics | REVA Univeristy
13-02-2025
**Subject:** Application for Genome Analyst Position
Dear Hiring Manager,
I am writing to express my interest in the Genome Analyst position at MedGenome. Currently, I am pursuing my MSc in Bioinformatics at Reva University and completing a three-month internship, gaining hands-on experience in genomic data analysis.
My academic background and research experience in variant annotation, multi-omics integration, and computational approaches in drug discovery have equipped me with strong analytical and programming skills. I am eager to contribute my expertise in NGS data analysis and bioinformatics pipelines to MedGenome’s innovative work in genomics.
I would welcome the opportunity to discuss how my skills align with your team’s needs. Thank you for your time and consideration.
Best regards,
[hidden] Ramitha
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