Dechamma C.S
MSc Bioinformatics candidate
About
Motivated and detail-oriented MSc Bioinformatics candidate with strong expertise in transcriptomic data analysis, next-generation sequencing (NGS), data preprocessing, statistical modeling, and computational biology. Proficient in Python, R, and SQL with hands-on experience in using bioinformatics pipelines, machine learning models, and visualization tools. Seeking opportunities in bioinformatics, genomics, and data science to contribute to innovative healthcare solutions.
Skills & Expertise (13)
Work Experience
Bioinformatic Intern
OmicsLogic
Mar-2025 - Jun-2025
Conducted transcriptomic data analysis of γδ T cells treated with IL-2 and combination therapies (Zoledronic Acid, BCG, Heat-killed BCG) using RNA-seq pipelines.
Machine Learning & Python Intern
YHILLS EDUTECH PVT LTD.
Jul-2024 - Aug-2024
Explored supervised learning algorithms (logistic regression, decision trees, SVM) and model evaluation techniques (ROC-AUC, confusion matrix).
NGS Training Intern
BCD Gene Explorer
Aug-2023 - Jun-2025
Gained practical exposure to Next Generation Sequencing (NGS) workflows.
Education
Master in Bioinformatics
2023 - 2025 · India
Bachelor in Biotechnology
2020 - 2023 · India
Certifications
STREAMLINED LUNG CANCER PREDICTION WITH INTERACTIVE ML TOOLS
Not specified · Not specified
Developed a lung cancer prediction model using SVM and Logistic Regression with 92.7% accuracy. Applied SMOTE for class balancing, outlier handling, and EDA for feature selection. Deployed an interactive Streamlit app for real-time clinical risk prediction.
Advancement & Challenging in Microbiome Bioinformatics
Not specified · Not specified
Reviewed bioinformatics tools and techniques for microbiome analysis, focusing on sequencing methods, taxonomic profiling, and challenges in data integration and reproducibility.