CV: S TASMIYA PARVEEN

Location: Hospet, Bangalore, Karnataka, India

Summary

Motivated postgraduate in Biotechnology with strong skills in clinical data entry, imaging record review, and regulatory compliance. Seeking the Clinical Data Coordinator role at Imaging Endpoints to contribute to high-quality data processing and reporting for global clinical trials.

EDUCATION

Master of Science in Biotechnology
Vijayanagara Sri Krishnadevaraya University, Bellary, Karnataka
Department of Studies and Research in Biotechnology
Dec 2023 – Dec 2025
SGPA: 7.98/10 (Ongoing)

Bachelor of Science in Life Sciences
Vijayanagar College, Hospet
Oct 2020 – Oct 2023
Affiliated to VSK University, Bellary, Karnataka
CGPA: 7.8/10

SKILLS

• Clinical Data Management & Documentation
  • Image and clinical record entry in paper and electronic data capture (EDC) systems
  • CRF/eCRF review, query generation, and data quality control
  • Support for study closeout activities, documentation audits, and UAT testing
• Data Analysis & Reporting
  • Familiar with SAS-based reporting tools and diagnostic summary preparation
  • Experience in generating and validating clinical summaries and diagnostic logs
  • Knowledge of data listings and validation for regulatory filing
• Workflow Coordination & Compliance
  • Tracking radiology reader progress and imaging workflow status
  • Understanding of GCP, ICH, and clinical trial documentation standards
  • Ability to multitask across multiple timelines in a compliance-focused role

PROJECT EXPERIENCE

Phytofabrication of Metal and Metal Oxides using Punica granatum L. Extract and its Biological Applications
Master’s Research Project – 1 Year
– Synthesized and characterized Ag, Zn, and CaO nanoparticles for antimicrobial applications
– Used SEM, TEM, FTIR, and XRD for nanoparticle characterization and structural validation
– Conducted stability testing and biological screening; compiled analytical reports

Bioinformatics Internship – Biotechnika (6 Months, with Experience Certificate)
– Project: A Multi-Omics Data Integration to Predict Drug Resistance in Triple-Negative Breast Cancer
– Analyzed disease studies related to genomic disorders and cancer resistance pathways
– Explored and visualized omics datasets using GEO2R, Cytoscape, STRINGdb, and Python-based tools
– Built genomic data pipelines and conducted feature selection for AI/ML model development
– Performed qualitative testing of models by defining critical data points and test conditions
– Developed structured narratives and reports based on omics-driven analysis
– Actively participated in design discussions, requirement gathering, and cross-functional demos
– Stayed updated on AI applications in genomics and emerging therapeutic techniques

CERTIFICATIONS & TRAINING

• Python for Biologists — Udemy
• Bioinformatics Internship (6 months) — Biotechnika
• Multi-Omics Data Analysis Training — Biotechnika (Ongoing)

LANGUAGES

Urdu: Native Proficiency

English: Professional Proficiency

Kannada: Conversational

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Cover Letter:

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