Garima Rathore
Intern @BioTecNika
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WORK HISTORY
Intern @BioTecNika
Bengaluru, IN
Executed an in-silico drug discovery project focused on Mpox protein targets and AMPK pathway–based inhibitor identification.Retrieved and curated protein and ligand datasets from public databases (PDB, PubChem, UniProt).Conducted molecular docking and structure analysis using tools such as AutoDock, SwissDock, and visualization software.Applied AI/ML concepts in biological data analysis and target–ligand interaction studies.Carried out literature review and research paper analysis to support target identification and pathway understandingRan ADMET and drug-likeness prediction to filter potential lead compounds.Reviewed and summarized scientific literature to support computational target validation.Documented workflows and prepared technical reports and presentations of results.
EDUCATION
Dr. B. Lal Institute of Biotechnology
Industrial biotech training , Environmental biotechnology
Dr. B. Lal Institute of Biotechnology
DISSERTATION , Reserach project
M. S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES
Master's degree, Bioinformatics and Computational Biology
Dr. B. Lal Institute of Biotechnology
Bachelor's degree, Biotechnology
ABOUT GARIMA RATHORE
I\'m Data Science professional, with expertise in Data extraction, Modelling, visualization. Currently I work as an AI ML Bioinfo. Intern at BioTecNika where I am doing a project.\"Identifying Potential Inhibitors of Mpox\", focused on applying AI/ML models for in-silico drug discovery using gene-drug interaction datasets and molecular docking tools like AutoDock.With hands-on training at BioTecNika I have hands on experience in Gene drug interactions datasets, Data Modelling, Data visualization. And other lab techniques developed through academc in biotrechnology my bachelor\'s: Python for data analysis and ML Algorithms implementation AutoDock for Molecular Docking Gene Drug interaction analysis Bioinformatics tools such as BLAST, FASTA/FASTAQ and pyMOL, Biopython NCBI, Scikit-learn, Data Visualization, Data analysis & Data Modelling (Matplotlib, Seaborn)I\'m eager to explore new opportunities that allows me to further expand my knowledge and skills in scientific research
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