Anup Shah
Data Analyst (Strategic Program APAC Supply Chain)
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolAnup Shah is a data analyst with 10 years of experience who applies advanced analytics and automation to optimize APAC supply chains at Merck Life Sciences, driving a 27% reduction in excess inventory and earning multiple global awards. He blends deep domain knowledge from a PhD in Computational Biology with practical engineering skills in R, Python, SQL, Power BI and Power Automate to deliver resilient, forecast-driven supply strategies. Previously he built widely used proteomics analytics infrastructure at Monash University — including LFQ-Analyst used by thousands of scientists — and has a track record of translating complex biomedical data into actionable insights. Known for proactively integrating innovative tools and running cross-functional programs, he excels at turning research-grade methods into production-ready workflows that cut cost and improve service levels.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at The University of QueenslandM.S. (Pharmacy), Pharmacoinformatics, M.S. (Pharmacy), Pharmacoinformatics at National Institute of Pharmaceutical Education and ResearchB. Pharmacy, Pharmacy, B. Pharmacy, Pharmacy at Government College Of Pharmacy, Aurangabad
English, Hindi, Gujarati, Marathi
Github Skills (12)
shinydashboard10
mass-spectrometry9
python5
bioinformatics3
java3
interpretation2
get-started2
static-site2
azure1
aws1
static-site-generator1
gcp1
Programming languages (4)
Github contributions (5)
MonashBioinformaticsPlatform/LFQ-Analyst
Feb 2018 - Nov 2021
The repo for LFQ-Analyst
Contributions:67 commits, 34 pushes, 1 branch in 3 years 10 months
analystmass-spectrometrylfqproteomicsshinydashboard
MonashBioinformaticsPlatform/enrichment_analysis_workshop
May 2019 - Nov 2021
Contributions:33 commits, 3 pushes in 2 years 6 months
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