Nivedita Bhadra
Senior Data Scientist
Espoo, Finland
Summary
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Senior🎓
Top SchoolNivedita Bhadra is a Senior Data Scientist with a Ph.D. in Computational Physics and seven years of experience applying advanced statistics, machine learning, and high-performance computing to translational biomedical and longevity research. She builds and evaluates predictive models across multi-omic and clinical-trial datasets, from polygenic score landscapes in large biobanks to longitudinal trajectories of depression symptoms, often integrating extended family history to improve risk prediction. Comfortable across Python/R, TensorFlow/PyTorch, SQL and HPC environments, she blends rigorous quantitative methods (GLMs, time-series, Bayesian approaches) with practical bioinformatics tools such as Bioconductor and Galaxy. Her work has revealed heterogeneity in large digital cohorts and linked single-cell electrophysiology to proteomic signatures in Alzheimer's models—demonstrating an ability to translate nuanced computational findings into biological and clinical insight. Based in Espoo with roles at IBP Copenhagen and TGen, she also writes about data science on Medium and maintains open-source work on GitHub, signaling a commitment to reproducible research and cross-disciplinary collaboration.
7 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Engineering - MEng, Big Data Analytics, 4.3, Master of Engineering - MEng, Big Data Analytics, 4.3 at Arcada University of Applied Sciences
Bengali, English, Hindi, FinnishGithub contributions (5)
BhadraNivedita/Predicting-Social-Influence-from-twitter-activity
Mar 2019 - Jul 2024
Contributions:5 pushes, 1 branch in 5 years 5 months
BhadraNivedita/ExampleCodesCPythonTorchTensorFlowKeras
May 2020 - Jul 2024
Contributions:8 pushes, 1 branch in 4 years 2 months
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