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Tatva Shah

Tatva Shah

MSc Bioinformatics | Experienced Tutor

Pharmaceutical / Bio-tech

Manchester, Manchester

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About Tatva Shah:

As an MSc Bioinformatics student at the University of Manchester, I am passionate about the intersection of biology and technology. With a background in biochemistry (BSc, 2:1), I have developed a strong foundation in experimental techniques, data analysis, and sustainability. My experience spans both academic research and leadership roles, equipping me with the technical skills and soft skills needed to thrive in the dynamic and evolving field of bioinformatics.

My academic journey has been driven by a deep interest in understanding complex biological systems through computational approaches. During my MSc, I have been focused on mastering bioinformatics tools and techniques, such as genomics, proteomics, and systems biology. I am proficient in programming languages such as Python and R, and I use these to analyze biological datasets, implement machine learning models, and visualize data. I am particularly drawn to applying these skills to genomics research, personalized medicine, and sustainability challenges in the life sciences.

In addition to my technical expertise, I bring strong leadership and project management skills. As the President of the Manchester Hindu Society, I led a diverse team in organizing events, managing budgets, and fostering a vibrant student community. This experience has honed my ability to collaborate effectively, communicate with clarity, and solve problems creatively—skills that are equally vital in a scientific and corporate setting.

Entrepreneurial by nature, I founded ‘Back to the Earth,’ a business specialising in biodegradable plates, with the aim of reducing plastic waste and promoting sustainable alternatives. Through this venture, I have developed an understanding of the importance of data-driven decision-making in business, whether it’s managing inventory, understanding customer behaviour, or optimising marketing strategies. I carry this entrepreneurial mindset into all aspects of my work, always seeking innovative solutions and continuous improvement.

Currently, I am seeking opportunities to apply my bioinformatics skills in real-world research and industrial contexts, particularly in genomics, computational biology, and data science. I am excited to contribute to projects that leverage data to drive breakthroughs in healthcare and sustainability.

I am actively looking to connect with professionals and organisations in bioinformatics, genomics, and data science. I am open to discussing research collaborations, job opportunities, or even sharing insights on bioinformatics and sustainability topics.

Experience

Bioinformatics & Research Experience

MSc Research Project: Developed a Boolean model to analyze the role of DUSPs in HER2+ breast cancer response to Herceptin, using Python simulations to assess cell survival outcomes.

Current Project: Investigating VEGF-R2 and Tie2 as biomarkers for cediranib response in biliary tract cancer, utilizing Python and R.

MicroRNA Expression Analysis: Conducted RNAseq data processing, differential expression analysis, and miRNA target prediction using Galaxy and IGV.

 

Work Experience

Vice President & Sanskaar Coordinator, Manchester Hindu Society – Led event planning (Diwali Ball, Holi, Navratri), delivered engaging talks on dharmic topics.

GP & Dental Office Administration – Managed patient records, scheduling, and correspondence, ensuring smooth operations.

Tutor – Teaching and mentoring students in GCSE and A-level Biology and Chemistry, and Maths, providing structured crash courses and guidance on key concepts and practicals.

Awards & Achievements

Sewak of the Year – Recognized for commitment to selfless service (sewa) in the community.

Circl Future Leaders Program Graduate – Trained in leadership, mentoring, and professional development.

Education

MSc Bioinformatics – University of Manchester

• Advanced skills in computational biology, genomics, and data analysis.

• Experience with Python, R, and bioinformatics tools for RNAseq, Boolean modeling, and biomarker discovery.

 

BSc Biochemistry (2:1)

• Strong foundation in molecular biology, genetics, and research methodologies.

• First-class dissertation on miRNAs in human breast cancer.

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