ABOUT ME:Computational chemist with 5 years of experience in the field of small-molecule drug discovery (Total exp: 7.5 yrs). Expertise in development, validation, and interpretation of regression and classification-based predictive QSAR/QSTR/QSPR-activity/toxicity/property models as per OECD guidelines and REACH requirements using freely available tools. I am also having substantial work experience in applying the ligand- and structure-based methods in multiple drug discovery projects. I have also worked as a medicinal chemist for the synthesis of medicinally active compounds for a period of one year, and worked with an experimental biologist for prioritization of compounds for experimental testing.FIELDS OF INTEREST: Drug discovery for different scientific problems (Malaria, Tuberculosis, Cancer etc), Ecotoxicological modeling (Chemicals, environmental Pollutants), Modeling of physicochemical properties of organic compounds (ionic liquids, Persistent, bioaccumulative and toxic substances (PBTs)), Agrochemicals, nanotoxicityWORKING EXPERIENCE ON ML ALGORITHMS/ TOOLS:--Multiple linear regression (MLR), stepwise-multiple linear regression, partial least squares (PLS), Random forest, Gradient boosting, Genetic function approximation (GFA), Genetic algorithm, Intelligent Consensus prediction, Double cross-validation, Bias-Variance estimator, Best subset selection, XternalValidation Plus, Applicability domain, Diversity validation, MLR-Y-Randomization, MLR-Leave-Many-Out, Normalization/standardization of dataset, MLR-X-Randomization, Classification model development (Linear discriminant analysis (LDA), Random forest) etc,--Data clustering methods: k-means, k-mediod, Kennard Stone etc.--Software Tools used: STATISTICA, MINITAB, SPSS, KNIME (For data curation and workflow preparation) etc.WORKED ON FOLLOWING DRUG DISCOVERY TECHNIQUES:- QSAR, QSAAR, pharmacophore modeling, e-pharmacophore, docking, homology modeling, etc. WORKING KNOWLEDGE OF CHEMINFORMATIC TOOLS:-Cheminformatic tools- Dragon, PaDEL-Descriptor, CDK, RDKit, OpenBabel, OEChem, DataWarrior etc-Drug Design software – Chemsketch, Marvin, Autodock, Accelrys Discovery studio, VLifeMDS, SYBYL, Modeller, Molegro Virtual Docker, Schrödinger, Pharma algorithms (online server) for ADME & toxicity prediction-Databases-PDB, UniProt, ChEMBL, ZINC, INTERBIOSCREEN etc.LANGUAGES: C++; PythonPLATFORMS: Windows, Linux.PUBLICATIONS: https://scholar.google.com/citations?user=ujD97q0AAAAJ&hl=enTotal research papers: 17