Investigated molecular docking, modeling, and gene expression in depth.
Published a paper on the computational approach to studying the effects of phytochemicals on cancer.
Hands on the gene expression studies included expression matrices, identifying differentially expressed genes, and more.
Briefly explored freelancing opportunities to apply my skills in real-world projects.
Applying BioNLP techniques to identify and analyze biomedical named entities, enhancing comprehension of complex biomedical text data.
Developed a good foundation in machine learning and its tools within bioinformatics research.
A comprehensive internship focusing on drug safety monitoring, pharmacovigilance practices, and adverse event reporting.
Gained knowledge of pharmacovigilance frameworks, including signal detection, risk assessment, and regulatory compliance in drug safety.
Acquired insights into global drug safety regulations.
Graduating. Result: SGPA: 8.13
JSS Academy of Higher Education and ResearchGraduated. Result: 71.3 %
MES’s M.M. Arts And Science College, SirsiResult: 73 %
MHN Government PU college, KolgeebesBy Bhargav Shreevatsa, Shrivatsa Hegde, Prakruthi V, Chandan D, Anisha Jain, Tanveer Wani, Samudyata Math, Chandan Shivamallu, Shiva Prasad Kollur
Frontiers in OncologyBy Karan Kumar, Shrivatsa Hegde, A.R. Ramyakrishna, Anweshan, Vijayanand S. Moholkar
Conducted an in-depth computational analysis of PTK2 protein expression across various breast cancer subtypes, assessing its association with patient outcomes and menopausal status.
Identified a significant correlation between PTK2 expression and enhanced tumor stemness, proliferation scores, and epithelial-to-mesenchymal transition (EMT) in specific breast cancer subtypes, implicating its role in tumor progression and metastasis.
Applied bioinformatics techniques, including gene expression profiling, pathway enrichment analysis, and statistical modeling, to uncover actionable insights.
Gained expertise in analyzing large-scale datasets using tools such as R, Python, and bioinformatics pipelines. Enhancing our understanding of cancer genomics and proteomics.
This study focused on exploring the therapeutic potential of natural products in breast cancer treatment, specifically utilizing Terminalia elliptica, a traditional plant known for its various medicinal properties.
By screening phytobioactives present in Terminalia elliptica using molecular docking, the research identified chebulagic Acid as a promising lead molecule with superior interaction and binding affinity to Focal Adhesion Kinase (FAK) compared to the standard drug podophyllotoxin.
Acquired hands-on experience in advanced computational techniques, including protein-ligand docking, virtual screening, and binding affinity predictions, to identify and evaluate potential drug candidates.
I am a passionate and driven bioinformatician with a diverse educational background. I have experience in data analysis and exposure to various programming languages, such as Linux(Bash), Python, R, C, and libraries like Pandas and NumPy. I am also keenly interested in exploring the applications of machine learning and artificial intelligence in bioinformatics. I am eager to further develop my skills in this area through future studies and career opportunities. I am excited to see where this field takes me and how I can contribute to the scientific community with my curiosity and enthusiasm. My passion lies in leveraging these skills to tackle challenging problems and contribute to cutting-edge research and projects.
I'm always eager to collaborate on drug discovery, machine learning projects, research endeavors, and competitions. Feel free to reach out to me if you have any questions or if you're interested in working together.
Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R
Learned Linux essentials for biology, including file system navigation, data manipulation, and automating data processing with shell scripts for export to R for analysis and visualization.
Next Generation Sequencing Certificate Course
Highly recommended program for advancing expertise and exploring the revolutionary technology of next-generation sequencing.
Offers a comprehensive experience to develop essential skills in analyzing complex genomic data.
Data Analysis with Python: Zero to Pandas
Is an invaluable resource for individuals venturing into the world of data analysis. It offers a step-by-step approach to learning and mastering Python for data analysis, with the skills and knowledge necessary to analyze data and extract valuable insights effectively.
Complete Linux Training Course
This is an excellent resource for those who are new to Linux and looking to learn, understand, and practice its various aspects and functionalities.
This is a highly recommended resource for anyone who wants to work in this field!
Genetics and Next Generation Sequencing for Bioinformatics
A very good kickstart for learning, understanding and practicing ins
and outs of Next Generation Sequencing with Galaxy.
Recommended for everyone in this field!
Bioinformatics; Learn Docking & Mol Dynamics Simulation
A great way to begin learning, comprehending, and applying the intricacies of molecular docking and simulation.
A must have skill for everyone in this field