Farhana Ts

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.

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.

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)