Anuseema Jadon

About Anuseema Jadon

I am an experienced data scientist and researcher implementing various data science solutions in Healthcare(RISK Adj, Payer Analytics, EHR) with below skills: • Data Science: Machine Learning, GenAI(LLMs), Scikit-Learn, Clustering (k means, hierarchical), Collaborative filtering, Principal component analysis, Linear regression, Logistic regression, SVM, Time series forecasting, k-nearest neighbors, Statistical analysis (Normality Test, Non-parametric test, hypothesis testing and confidence interval) • Computer-Aided Drug Design and Discovery: Molecular modeling (Virtual Screening, MD simulations, Homology modeling, Molecular docking), SAR/QSAR, Pharmacophore mapping approaches, Markov state modeling, Structure and Ligand based drug design, Chemoinformatics databases, Experience with molecular interactions as well as deep understanding of protein structure and functional relationships. Ability to integrate bioinformatics, chemoinformatics and structure based concepts to guide discovery. • Programming Language: Python (NumPy, SciPy, BioPython, Jupyter NB, Pandas, Seaborn, Matplotlib, BeautifulSoup, Plotly) R, Perl, Linux/Unix (Shell scripting), SQL(basic) • Data Visualization: Matplotlib, BeautifulSoup, Plotly, Gnuplot, Inkscape, Tableau (Basic) • Understanding of data science by handling and analysis of several terabytes of scientific data • Proven ability to handle multiple projects and more than 5 years of experience in the field.

Experience

1. Analytics Manager Data Scientist

   Accenture

   Dec 2021 — Present · New York, NY, US

Education

• GGSCOP

  Bachelor’s Degree

  2007 — 2011

• National Institute of Pharmaceutical Education and Research

  M.S.(Pharm.)

  2011 — 2013