Subhraneel Banerjee
Kolkata,West Bengal
Summary
Motivated second-year Biotechnology student at Amity University Kolkata with hands-on expertise in cancer biology, nano material-based drug development, bioinformatics, and machine learning.
• Machine Learning Intern, Indian Statistical Institute (ISI), Kolkata: Contributed to a skin-disease prediction project by applying advanced machine-learning algorithms to dermatological image datasets.
• Drug Development Intern, Chittaranjan National Cancer Institute (CNCI), Kolkata: Engineered and evaluated nano material-based therapeutics targeting triple-negative breast cancer (TNBC), conducting apoptosis assays to support chemotherapy-focused research.
Dedicated to integrating computational and experimental methodologies to advance cancer nano-biotechnology, with aspirations to pursue further research opportunities in the future.
Overview
1
1
year of professional experience
Work History
Drug Development Intern
Chittaranjan National Cancer Institute
06.2025 - 08.2025
- Engineered and synthesized nanomaterial-based therapeutics targeting triple-negative breast cancer in collaboration with PhD researchers.
- Streamlined apoptosis assay protocols, boosting throughput by 20% and improving result consistency.
- Conducted cytotoxicity evaluations using flow cytometry and fluorescence microscopy on MDA-MB-231 cell lines.
- Coordinated with multidisciplinary teams to optimize nanoparticle formulations and analyze preclinical efficacy.
Intern
Oncopulse
12.2024 - 04.2025
- “Emerging Strategies to Overcome Trastuzumab Resistance in HER2-Positive Breast Cancer: Novel Therapeutics and Biomarker-Driven Approaches”
- Conducted an in-depth literature review analyzing novel therapeutic interventions and biomarker-guided strategies to address Trastuzumab resistance, currently under peer review.
Intern
Indian Statistical Institute
01.2025 - 03.2025
- Applied Python, NumPy, Pandas, and Power BI to analyze and visualize a dataset of 1,500+ dermatological images for a skin disease classification project.
- Collaborated on developing a CNN-based model using image preprocessing techniques and Vega-Lite visualizations, resulting in a ~12% improvement in prediction accuracy.
Education
Bachelor of Technology (B.Tech) - Biotechnology
Amity University
Kolkata, India06-2028
Skills
- Molecular Biology Techniques: PCR, gel electrophoresis, SDS-PAGE, Western blotting
- Cell-Based Assays: Apoptosis detection (Annexin V/PI via flow cytometry), cell viability assays (MTT/XTT) – applied during CNCI internship
- Recombinant DNA Technology: Restriction digestion, ligation, transformation, blue/white screening
- Bioinformatics Tools: BLAST, sequence alignment, gene expression analysis (GEO2R, DESeq2)
- Protein Modeling & Docking: I-TASSER, SwissDock, AutoDock
- Statistical Analysis: Biostatistical tests (t-tests, ANOVA) using R
- Data Visualization: Power BI
ADDITIONAL INFORMATION
Certifications:-
- Introduction to Genomic Data Science, John Hopkins University, Coursera.
- Cancer Biology, John Hopkins University, Coursera.
- Industrial Biotechnology, University of Manchester, Coursera.
- Certification: Cancer Biology and Immunotherapy Issued by Ethical Edufabrica
Timeline
Drug Development Intern
Chittaranjan National Cancer Institute
06.2025 - 08.2025
Intern
Indian Statistical Institute
01.2025 - 03.2025
Intern
Oncopulse
12.2024 - 04.2025
Bachelor of Technology (B.Tech) - Biotechnology
Amity University
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