Adam聽Sardar
Head Of Data Science Tech Excellence & Software
Bath, England, United Kingdom
Summary
馃懁
Senior馃帗
Top SchoolAdam Sardar is Head of Data Science Tech Excellence & Software with 11 years of experience building production-ready predictive AI, MLOps and scientific software across pharma and insurance. He has led teams of PhD data scientists to deliver computational products that translate complex bioinformatics and phenotypic screening insights into deployed APIs and web apps. His work spans algorithm design, Bayesian and network-based models, reproducible pipelines and software engineering practices that prevented noisy experimental data from driving decisions. At Evotec and e-therapeutics he combined hands-on coding (Python, R Shiny) with strategic roadmap setting and stakeholder-facing scientific communication, and he holds an MRes in Complexity Sciences from the University of Bristol. Now based in Bath, he focuses on operationalising ML in regulated environments, bringing a rare blend of domain depth in chemical biology and pragmatic engineering rigor. An often-overlooked strength is his track record of mentoring junior scientists in software carpentry and turning academic methods into robust, commercial-grade tools.
11 years of coding experience
5 years of employment as a software developer
Complexity Sciences (MRes) Complex Systems Computer Science Applied Maths Network Science Statistical Mechanics, Complexity Sciences (MRes) Complex Systems Computer Science Applied Maths Network Science Statistical Mechanics at University of Bristol
Github Skills (52)
preprocessing10
feature-engineering10
data-science9
transformers9
pandas9
distributions9
python9
pandas-dataframe9
machine-learning9
scikit-learn9
bioinformatics9
polars9
data-transformation8
meta-analysis8
derived8
Programming languages (6)
Github contributions (5)
adamsardar/metaDEGth
Nov 2018 - May 2023
metaDEGth: meta-analysis of Differentially Expressed Genes using parametric, empirically-derived P-value distributions
Contributions:4 PRs, 61 pushes, 3 branches in 4 years 7 months
distributionsparametricmetaderivedmeta-analysis
azukds/model_interpreter
Oct 2024 - Mar 2026
Contributions:8 reviews, 2 PRs, 1 push in 1 year 5 months
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