Prashansha Goel – Unlocking Cancer Mysteries with AI: Meet the Biochemist Redefining Biomedical Research

Prashansha Goel

87/Sarla Bagh, Dayal Bagh (282005), Agra, Uttar Pradesh

Profile

Hardworking, enthusiastic, and result-oriented biochemist with a strong academic background in molecular biology, bioinformatics, and machine learning. GATE-qualified postgraduate with hands-on experience in laboratory techniques, computational oncology, and AI-ML applications in biomedical research, particularly in cancer studies.

Internship Experience

Biotecnika Foundation (Nov 2024 – Jun 2025)

• Working on AI-ML applications in oncology research.
• Data analysis and predictive modeling for cancer studies.
• Collaborating with experts in computational biology.

Sarojini Naidu Medical College, Agra (June 2023 – July 2023)

• Hands-on experience in operating biochemistry analyzers.
• Gained proficiency in performing diagnostic tests and clinical research analysis.

Education

Central University of Rajasthan (2022 – 2024)
M.Sc Biochemistry | CGPA: 7.37

Dr. B.R Ambedkar University (2019 – 2022)
B.Sc (Botany, Chemistry, Industrial Chemistry) | Percentage: 77.8%

Qualifications

• GATE XL 2024 | AIR 5502
• BioGrademy Python for Biologists Certification Course (2025)

Technical Skills

• Molecular Biology: RT-PCR, Real-time PCR, ELISA, Chromatography, Electrophoresis, Western Blotting, MTT Assay
• Instrumentation: Microscopy, Centrifuge, Laminar Air Flow, UV-Visible Spectroscopy, Biochemistry Analyzers
• Microbiology: Culturing, Isolation of Genetic Material & Protein, Media Preparation
• Bioinformatics: Molecular Docking, BLAST, PRIMER3, SWISS-MODEL, STRING, GEPIA2, TIMER, Cancer Omics
• Machine Learning & AI: Data preprocessing, Feature selection, PCA, K-means clustering, Supervised and Unsupervised Learning models for biomedical data analysis
• Programming: R (Basic), Python

Dissertation Projects

Regulation of Unexplored ZSWIM3 Expression in BRCA Cells and Its Drug Candidate Identification (Jan 2024 – May 2024) | Central University of Rajasthan

• Screened and identified potential drug candidates targeting ZSWIM3 for therapeutic applications.
• Investigated the regulation of ZSWIM3 expression in breast cancer cells and its role in tumorigenesis.
• Performed bioinformatics and molecular analysis to identify regulatory mechanisms.

Unraveling the Significance of ZSWIM Genes in Breast Cancer: Bioinformatic Insight into Upregulated Candidate Gene (July 2023 – Sept 2023) | Central University of Rajasthan

• Conducted computational analysis to explore upregulated ZSWIM genes in breast cancer.
• Used various bioinformatics tools to assess gene expression patterns and potential interactions.

Skills

Molecular Biology, Bioinformatics, Machine Learning, AI, Computational Biology, Laboratory Techniques, Biochemistry Analyzers, Data Analysis, Predictive Modeling, Diagnostic Tests, Research Analysis, Data Preprocessing, Feature Selection, Programming, Molecular Docking, Bioinformatics Tools

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Cover Letter:

Dear Hiring Team,
I am writing to express my interest in the Genome Analyst Trainee position at MedGenome Labs. As a recent M.Sc. Biochemistry graduate from the Central University of Rajasthan with hands-on experience in both wet-lab and computational approaches to cancer research, I am excited about the opportunity to contribute to your pioneering work in clinical genomics.
My academic training has given me a solid foundation in molecular biology techniques, including PCR, ELISA, and western blotting. During my dissertation, I focused on breast cancer gene regulation and potential therapeutic targets, integrating bioinformatics tools like PRIMER3, STRING, and GEPIA2. Currently, through my internship at Biotecnika, I am working on AI/ML-based predictive modeling in oncology—enhancing my data interpretation and collaborative research skills.
What draws me to MedGenome is your impactful work at the intersection of diagnostics and innovation. I am confident that my dedication, strong communication, and growing expertise in genetics and data analysis make me a great fit for this role.
Thank you for considering my application. I look forward to the opportunity to discuss how I can contribute to your team.
Warm regards,
Prashansha Goel