Ram Bora Email & Phone Number

Ram Bora Skills

• AI Engineering
• AI Strategy
• AWS (EC2, EMR, S3)
• Agentic AI
• Amazon Web Services (AWS)
• Artificial Intelligence (AI)
• Chemistry
• Clinical AI
• Cloud Computing
• Computational studies on enzyme evolution
• Computationally guided evolutionary based enzyme designing
• Data Analysis
• Data Mining
• Data Platforms
• Entreprise AI
• Executive Leadership
• Exploring enzyme designing towards synthetic metabolic pathway reconstruction
• Generative AI
• Google Cloud Platform (GCP)
• H2O.ai, Spark (SparkR, PySpark, MLlib, SparkSQL,SparklingWater)
• Hadoop (HDFS, Hive, YARN)
• Healthcare AI
• Healthcare Analytics
• Healthcare Technology
• MLOps
• Machine Learning
• Microsoft Azure
• Modeling enzyme catalyzed chemical reactions using empirical, semi-empirical a
• Molecular level modeling of protein-ligand and protein-protein interactio
• Population Health
• Python
• R
• R Studio, RShiny, Data Bricks, Jupyter notebook, Git, Linux
• Real Time Medical Care Management AI (RTMCM AI)
• Regulatory and functional mechanisms of Protein Kinases
• Research
• Responsible AI
• Science
• Spectroscopy
• Statistics: Hypothesis testing, Parametric and Non-Parametric tests etc.
• Structure Function correlation of G-Proteins
• Tableau
• TensorFlow
• Value Based Care
• • Anomaly detection (using H2O.ai)
• • Bagging and Boosting methods (RandomForest, GBM, Xgboost)
• • Clustering
• • Dimensionality Reduction
• • Evaluation / Performance Metrics
• • Experience in structural bioinformatics, molecular modeling, computational che
• • Natural Language Processing
• • Natural Language Processing, Word2Vec, Text Mining, and Social media data analysis, and sentiment analysis
• • Neural Networks and Deep Learning (using H2O.ai and TensorFlow)
• • Neural networks and Deep Learning (Multilayer perceptron, CNNs, RNNs (LSTM, and GRU), and autoencoder) using Tensor Flow and Keras, and regularization techniques (L1, L2 and Dropout etc)
• • Proficiency in Fortran, C, C++, and Python
• • Proficiency in Linux and system administration
• • Proficiency in running and code development of Molecular dynamics simulations
• • Proficiency in using various Docking programs (Autodock, Autodock vina, GLIDE
• • Proficiency in using various MD simulation packages (GROMACS, MOLARIS, AMBER e
• • Proficiency in using various ab-initio programs (GAUSSIAN, QCHEM, GAMESS etc)
• • Recommender Systems (collaborative, content, knowledge and hybrid models)
• • Regression (with Regularization) and Classification
• • Survival analysis
• • Text and Sentiment analysis
• • Time Series analysis
• • Working experience with R Programming