Vondhana Ramesh
PROFESSIONAL SUMMARY
A highly motivated and detail-oriented [hidden] Human genetics graduate with a strong foundation in Molecular techniques, sequencing and NGS. Passionate about NGS and eager to contribute to a dynamic team. Skilled in bioinformatics tools and enthusiastic about learning new technologies and methodologies.
EDUCATION
- [hidden] Life Science, Indian Academy of Degree College, 2020, CGPA: [hidden]
- [hidden] Human Genetics, Dayananda Sagar University, 2024, CGPA: [hidden]
TECHNICAL SKILLS
- Programming: Python, R, scripting, Linux
- Tools & Technologies: Fastp, fastqc, trimmomatic, BWA, ANNOVAR, VEP, GATK, HISAT2, QIIME2, Docker
- Research & Laboratory Skills: Docking, Trained in nanoprecipitation, Maintained Drosila culture, DNA and RNA extractions, Gel electrophoresis
PROJECTS
- STUDYING THE EFFECT OF DUAL PLANT EXTRACT POLYMERIC NANOPARTICLES ON BREAST CANCER PROGRESSION (6 months)
- This study targets breast cancer stem cells using phytochemical-loaded nanoparticles to inhibit key proteins and suppress tumor growth.
- It enhances drug delivery for more effective, sustainable cancer therapy.
- PREDICTIVE QSAR MODELING FOR THERAPEUTIC STRATEGIES TARGETING SmTGR PROTEIN’S IMMUNEMODULATING ROLE IN HOST-PARASITE INTERACTION (6-months KSCST-funded project)
- This study uses QSAR modeling to identify potential SmTGR inhibitors for Schistosomiasis treatment.
- It accelerates drug discovery by predicting effective inhibitors, highlighting Ergostine as a promising candidate.
INTERNSHIPS / RESEARCH EXPERIENCE
- Genomics Data Analysis, Mediomix (6 months)
- Trained in clinical genomics, Transcriptomics, Metagenomics.
- Worked with bioinformatics tools.
- Currently involved in 2 major projects (Clinical genomics, RNA sequencing) and one minor project (Metagenomics).
CONFERENCES
NCISABR 2025 – Poster presentation on PREDICTIVE QSAR MODELING FOR THERAPEUTIC STRATEGIES TARGETING SmTGR PROTEIN’S IMMUNEMODULATING ROLE IN HOST-PARASITE INTERACTION (KSCST-funded project).
WORKSHOPS
- DNA fingerprinting techniques
- Flow cytometry
- 5-day workshop on drug designing by Prescience Insilico Analysis
LANGUAGES
English, Tamil, Telugu, Kannada
Skills:
Genetics, Genomics, Molecular Biology, Bioinformatics, NGS, Sequencing, Python, R, Linux, PCR, Gel Electrophoresis, Docking, Data Analysis
“`
Cover Letter:
Having gained hands-on experience in NGS and variant analysis, I am passionate about leveraging this technology to work on complex genetic pathways, and MedGenome’s impact on healthcare aligns perfectly with my aspirations.
Leave a Reply