Farhana Ts
BIOINFORMATICS | COMPUTATIONAL BIOLOGY | GENOMIC DATA ANALYSIS
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About
M.Sc.
Bioinformatics University First
Rank holder with hands-on experience in genomic data analysis, machine learning, computational biology, and biological data interpretation. Proficient in Python, R, SQL, and Linux/Unix, with research experience preprocessing large-scale genomic datasets, performing feature selection, applying classification and clustering algorithms, evaluating models, and interpreting results in a biological context. Knowledge of genomics, transcriptomics, proteomics, molecular biology, NGS workflows, biological databases, and bioinformatics tools including BLAST, Clustal Omega, MEGA, NCBI resources, GenBank, UniProt, PDB, and EMBL-EBI.
Strong scientific documentation, analytical, and collaboration skills.
Experience
M.Sc. Dissertation — Application of Machine Learning Approaches in Biological Data Analysis - Jawaharlal Nehru University (JNU) - Delhi, India
(2026-01 - 2026-04)
SNP-set analysis for coronary artery disease (CAD) gene identification. Conducted under the guidance of Dr. Jyoti Singh Kirar.
- Preprocessed and reviewed large-scale genomic datasets, applying quality checks to support data accuracy and consistency.
- Performed feature selection and applied classification and clustering algorithms to identify candidate CAD-associated genetic markers.
- Implemented machine learning workflows in Python and R and evaluated model performance using statistical and predictive metrics.
- Interpreted computational outputs in a biological context, connecting genomic patterns with disease-associated research questions.
- Created data visualizations to communicate analytical findings and maintained detailed documentation of methodology and results.
B.Sc. Dissertation — Extracellular Matrix Production in Pancreatic Cancer Microenvironment - Cochin University of Science and Technology (CUSAT) - Kochi, India
(2022 - 2023)
- Investigated molecular interactions and cellular responses within the tumor microenvironment.
- Assisted with biological data analysis and scientific documentation of experimental findings.
- Studied cancer-related pathways and mechanisms as part of a structured research project.
Education
M.Sc. - Bioinformatics - MACFAST (Mar Athanasios College for Advanced Studies), Tiruvalla (2024 - 2026)
B.Sc. - Biotechnology & Botany (Double Main) - St. Berchmans College, Changanassery (2020 - 2023)
