Faizan Shaikh

Designed and vibe-coded a custom AI decision-support app for evaluating career, financial, business, and lifestyle dilemmas. Built dynamic pros-and-cons generation, weighted comparison tables, and SWOT analysis to facilitate decision-making.

Developed a retail business intelligence dashboard using market basket analysis to visualize sales trends and optimize Average Order Value. Engineered a dynamic Profit & Loss engine and integrated the Gemini API for natural language data querying.

Architected an enterprise-grade business intelligence platform with multi-format data ingestion and automated statistical profiling. Integrated Generative AI for natural language querying and developed interactive dashboards using React and Recharts.

Conducted systematic and scoping reviews on agronomic biofortification, nutrition, and clinical interventions using PRISMA, MMAT, CASP, and Cochrane risk-of-bias methods. Analyzed quantitative research datasets with SPSS and R, performing ANOVA and reporting effect sizes.

Cleaned, unpivoted, and modeled disparate datasets to identify content-performance trends. Communicated findings through structured dashboards and presentations using Microsoft Excel and PowerPoint.

Developed custom Python scripts for genomic sequence processing and RNA structure prediction. Predicted RNA secondary and tertiary structures using RNAfold and SimRNA, and validated them against PDB structures using RMSD, INF, and Deformation Index.

Performed plasmid extraction, restriction enzyme digestion, and cDNA synthesis to investigate TROVE2 gene-expression variants in human cancer cell lines. Analyzed qRT-PCR transcript data to evaluate effects of Vitamin D on myoblast transdifferentiation.

Google AI Professional Certificate, awarded 28 October 2026, covering AI fundamentals, prompt engineering, responsible AI, and AI-assisted research and data analysis.

Data Analytics and Visualization Job Simulation, completed in February 2025.

Postgraduate Diploma in Bioinformatics with Systems Biology, focusing on biological networks, molecular mechanisms, computational prediction of functional elements, and database design.

Grade: First Class

Postgraduate Diploma in Bioinformatics, completed with First Class.

Grade: Second Class

Bachelor of Science in Biotechnology, with practical experience in wet-laboratory and computer-laboratory work, and led a team in designing a biological model of a human kidney.