I am an M.Tech Biotechnology graduate with multidisciplinary experience across research analytics, biotechnology, technical operations, business intelligence, and scientific data analysis.
My work combines life sciences, computational biology, artificial intelligence, and data analytics to transform biological and operational datasets into actionable insights.
My academic research, industrial experience, and analytical projects reflect a strong interest in applying data-driven approaches to biotechnology, healthcare, and scientific research.
🧬 Bioinformatics
🔬 Research Analytics
📊 Data Analytics & Business Intelligence
🤖 Artificial Intelligence
🧪 Drug Discovery
🌿 Phytochemistry
📈 Data Visualization
⚙ Business Operations
🧫 Molecular Biology
- Python
- SQL
- Java
- Pandas
- NumPy
- Matplotlib
- Plotly
- Power BI
- Microsoft Excel
- BLAST
- Biopython
- STRING
- KEGG
- PubChem
- Biological Databases
- Scientific Data Analysis
- Literature Review
- Experimental Design
- Molecular Biology
- Protein Analysis
- Phytochemical Research
- Technical Operations
- Stakeholder Management
- Project Coordination
- Procurement Analytics
- Process Optimization
- Documentation
Python-based exploratory analysis of medicinal plants, phytochemical diversity, molecular properties, and biological datasets.
🔗 Repository
https://github.com/SUSHII27/Plant-Gene-Phytochemical-Analytics
Repository containing
- Undergraduate Dissertation
- Postgraduate Dissertation
- Research Publications
- Industrial Research Training
- Scientific Documentation
Projects involving
- Exploratory Data Analysis
- Scientific Data Visualization
- Python Analytics
- Power BI Dashboards
- Business Intelligence
Projects covering
- Gene Interaction Analysis
- Biological Networks
- Pathway Analysis
- Molecular Data Analytics
- Computational Biology
Effect of Band Gap of Graphene Oxide on Interaction with Bovine Serum Albumin: Correlation of Band Gap with Sensitivity
Published in Carbon Trends (2024)
Blockchain's Role in Sustainable Food Systems and a Waste-Free Future
Published in Tech-Driven Harvest
Chapter 18
✔ Research Analytics
✔ Technical Operations
✔ Scientific Documentation
✔ Procurement Analytics
✔ Business Intelligence
✔ Project Coordination
✔ Stakeholder Management
✔ Scientific Data Interpretation
- Machine Learning
- AI in Biotechnology
- Predictive Analytics
- Healthcare Analytics
- Bioinformatics Pipelines
- Advanced Python
Amity Institute of Biotechnology
Amity University, Noida
SHUATS, Prayagraj
🥈 Silver Medalist
https://linkedin.com/in/suyashi-singh
💻 GitHub
"Transforming scientific and operational data into meaningful insights through biotechnology, analytics, and artificial intelligence."