Dr. S Y E DA AN JU M M O B E E N – Unveiling the Secrets of Nanotechnology and Bioinformatics: Meet the Next Big Thing in Biotech!

Dr. S Y E DA AN JU M M O B E E N

M.Sc., Ph.D.

INTRODUCTION:

Dedicated academic professional with a Ph.D. in Biotechnology & Bioinformatics, specializing in nanotechnology, drug design, and molecular biology. Recognized for extensive experience in research, teaching, and contributions to scientific publications.

CAREER HISTORY:

Academic Consultant | 2015-2016
Department of Biotechnology & Bioinformatics
– One year experience as Academic consultant at YVU.

Guest Faculty | June 2012 – Aug 2015
Department of Biotechnology
– Three years of experience as a lecturer in Biotechnology at SKR & SKR Govt. Degree college for Women

ACADEMIC BACKGROUND:

Yogi Vemana University:
– Completed Ph.D. in Biotechnology & Bioinformatics | March 2016 – April 2022
Title of the Thesis: In-silico identification of novel drug targets in human colorectal cancer from bioactive compounds of Catharanthus roseus and Moringa oleifera and green synthesis of ruthenium oxide nanoparticles and biological characterization.

Yogi Vemana University:
M. Sc. 5 year Integrated Biotechnology & Bioinformatics | 2007 – 2012
– Post-graduated with Distinction (80.3%)

AWARDS/FELLOWSHIPS/HONOURS:

– A second rank Topper in M.Sc.
– Awarded Sardar Vallabhbhai Patel-The Iron Man of India; 2021 Academic Award for “Best Young Scholar”
– Awarded Queens of era-2022; “Most promising Research Scholar Award 2022”

AREAS OF EXPERTISE:

Nanotechnology (Green synthesis), Bioinformatics (Drug design), Molecular biology

SKILL SET:

Programming language: R, Phyton
Machine Learning Tools: Scikit_learn
Bioinformatics tools: Bioconductor, Docking and MD simulation
Data visualization: Matplotlib, Plotly, ggplot2 and Powerbi
Technical Data science platforms: Kaggle, GitHub, Google Colab and Jupyter Notebook

INTERNSHIP & CERTIFICATIONS:

AI/ML Intern | Biotecnika | July 2024 – Feb 2025
– Worked on ML-based cancer subtype classification using gene expression data.

Clinical Data Management Course | Biotecnika | Dec 2024 – March 2025
– Currently enrolled in a 3-month program covering CDM principles, data standardization, and regulatory requirements.

RESEARCH ARTICLES/BOOK CHAPTERS/CONFERENCES:

CERTIFICATES OF COMPLETION:

KEYWORDS:

Nanotechnology, Bioinformatics, Molecular biology, R, Phyton, Scikit_learn, Bioconductor, Matplotlib, Plotly, ggplot2, Powerbi, Kaggle, GitHub, Google Colab, Jupyter Notebook

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Cover Letter:

11.02.25
Bangalore.
**Dr. SYEDA ANJUM MOBEEN**

**Hiring Manager**
MedGenome

**Subject:** Application for Genome Analyst Position
Dear Hiring Manager,
I am writing to express my interest in the Genome Analyst position at MedGenome. With a strong background in Machine learning, bioinformatics, and clinical data management, I am eager to contribute to MedGenome’s mission of advancing precision medicine through genomics research.
During my **AI/ML internship** at Biotecnika (July 2024 – Feb 2025), I worked extensively on predictive modelling for cancer biomarker identification. My project, _Predictive Modeling of Colorectal Cancer Biomarkers Using Gene Expression and Clinical Data_, involved TCGA COAD data analysis, survival analysis, and machine learning techniques such as Random Forest and hyperparameter tuning. Additionally, I have hands-on experience with cBioPortal data integration and class imbalance handling using ADASYN, which aligns well with the data-driven approach at MedGenome.
Currently, I am expanding my expertise through a **Clinical Data Management course** at Biotecnika, gaining proficiency in metadata management, data standardization, and regulatory compliance—essential for handling large-scale genomic datasets. My skill set includes Python, R, data visualization, and machine learning techniques for biological data analysis.
MedGenome’s focus on genomic research and AI-driven insights aligns perfectly with my expertise and passion. I am excited about the opportunity to apply my skills in machine learning and clinical genomics to impactful research in precision medicine. I welcome the opportunity to discuss how my background can contribute to your team.
Thank you for your time and consideration. I look forward to your response.
**Best regards,**
Syeda Anjum Mobeen