Poonam Pandey
Elsevier, Indian Institute of Science, Banglore, Indian Institute of Technology Gandhinagar, Indian Institute of Science
0000-0002-4251-4646
About
As a bioinformatician and data geek, I am driven to convert and analyze data to provide insightful
narratives and useful knowledge.
• I enjoy using machine learning and deep learning to find solutions to complex problems.
• Professional with experience in machine learning, artificial intelligence, data science, and deep learning who is fiercely competitive, self-starting, and goal-oriented.
• Hands-on experience using tools and techniques like Python, Statistics, Supervised Learning, Unsupervised Learning, Ensemble Techniques, Feature Selections, Data Analysis, Regression,
SVM, PCA, tICA, and KNN while working on a variety of projects.
• An excellent communicator with strong interpersonal and relationship-building abilities.
effective organizational, analytical, and problem-solving skills.
SKILLS & TECHNOLOGIES
• Machine Learning
• Data Science
• Computational Chemistry
• Molecular Dynamics Simulation: Protein, carbohydrate and Lipid Modelling
• GROMACS, CHARMM, NAMD, AutoDock, Gaussian, Psi4, MOE.
• Drug Discovery
• Software Development
• Force-Field Development
• Handling Git Hub
• High-Performance Computing
• Artificial Intelligence
• Supervised Learning
• Unsupervised Learning
• Python, Fortran, Matlab, R, SQL, Big Data
• Linear/Logistic Regression
• Decision Tree/ Random Forest
• Support Vector Machine (SVM)
• Principal Component Analysis (PCA)
• K-mean Clustering
• Neural Network
• Tensor-Flow, Keras, scikit-learn
• ANN, CNN, RNN
Bioinformatician| Data Scientist|Machine Learning|Deep Learning|Python|Data Analytics
Employment
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Elsevier Data Discovery and Enrichment Expert2023 - Present
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Indian Institute of Science, Banglore DBT-Research Associate2022 - 2023
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Indian Institute of Science Research Associate2021 - 2022
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University of Maryland Baltimore Postdoctoral Fellow2019 - 2021
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Indian Institute of Technology Gandhinagar Senior Research Fellow2015 - 2020
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Indian Institute of Technology Gandhinagar Junior Research Fellow2013 - 2015
Education
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Indian Institute of Technology Gandhinagar PhD2013 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Supporting Data for manuscript entitled "sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides" Save
- Supporting Data for manuscript entitled "sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides" Save
- Supporting Data for manuscript entitled "sAMP-VGG16: A Drude Polarizable Force Field assisted Deep Transfer Learning based Prediction Model for Short Antimicrobial Peptides" Save
- Combining SILCS and Artificial Intelligence for High-Throughput Prediction of Drug Molecule Passive Permeability Save
- Deep Neural Network Model to Predict the Electrostatic Parameters in the Polarizable Classical Drude Oscillator Force Field Save
- Investigations Into the Role of Native Defects on Photovoltaic and Spintronic Properties in Copper Oxide Save
- Functional Group Distributions, Partition Coefficients, and Resistance Factors in Lipid Bilayers Using Site Identification by Ligand Competitive Saturation Save
- Further Optimization and Validation of the Classical Drude Polarizable Protein Force Field Save
- Drude Polarizable Force Field Parametrization of Carboxylate and N-Acetyl Amine Carbohydrate Derivatives Save
- Elucidating the role of key structural motifs in antifreeze glycoproteins Save