Svm, Deep Learning, Neural Network, Predictive Modeling, Clustering, Python, applied statistical analysis, Forecasting, Random Forests, R, Regression, Boosting, Tree, text analysis

Tensorflow, Hadoop, Pytorch, Pandas, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn

Predictive Modeling, Machine Learning, Svm, Clustering, Deep Learning, Statistical Analysis, Python, Forecasting, Random Forests, Regression, R, Boosting, Text Analysis, Tree

causal inference , Databricks, Clustering, Pandas, Regression Analysis, Numpy, Python, Hypothesis Testing, Scipy, Bayesian Methods, scikit-learn, statistical methodology, stats models, Survival Analysis, Experimental Design, Simulation, time-series analysis

metaheuristics , vehicle routing , Model serving, Network Flow, stochastic optimization, Operations Research, Optimization methodologies, Experimentation infrastructure, AI LLM tools

Recommender Systems, Ml, Gpu, Cpu, Machine Learning, Deep Learning, Computer Vision, LLMs, statistical modelling techniques, Bayesian models, event driven architecture, Statistics, Optimization, deep neural networks, generative AI

Unix, Sql, Shell scripting, Hive, Java, Python, Data Visualization, Linux, R

Tensorflow, Pytorch, Python, Graphql, Neo4j, graph-based data modeling, PQ, metadata filtering, Nemotron, natural language query answering, FAISS-based vector indexes, Retrieval-Augmented Generation pipelines, vector databases, HNSW, QLoRA, document chunking, LoRA, IVF, Llama variants, Knowledge Graphs, parameter-efficient fine-tuning, Mistral, Phi