Machine Learning, Clustering, Sql, Deep Learning, Neural Networks, Predictive Modeling, Python, Decision Trees, Ai, Ensemble methods, Model training, Feature engineering, Data ingestion, Responsible AI, Explainable AI

Pyspark, Sql, Nlp, Pytorch, Databricks, Python, MLops, LangChain, Generative AI, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services, LLMs, AI governance frameworks, Medical text analytics, Knowledge graphs, clinical decision support, Multimodal AI, CI/CD for ML

Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis

Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models

Machine Learning, Neural Networks, Unsupervised Learning, Sql, Deep Learning, Decision Trees, Predictive Modeling, Clustering, Python, model training, supervised learning, Ai, Simulation, ensemble methods, Evaluation, scenario analysis, advanced statistical concepts, data ingestion, Responsible AI, feature engineering, Explainable AI, Deployment

Python, FastAPI, Machine Learning, Api Development, Api Management, Oops, Jenkins, Gcp, Azure, AWS, Cloud Migration, Docker, Kubernetes, Terraform, GenAI, Llm, RAG, Embeddings, CI/CD, GitHub Actions, ML Platform Modernization, Vector Databases, Pinecone, FAISS, Chroma, IaC

Python, Statistical Modelling, Machine Learning, SQL/NoSQL, ML algorithms, big data concepts

Data Scientist, Python, Tensorflow, MLops, Ms Sql Server, Databricks, PyTorch libraries

Data Science, Predictive Modeling, Eda, Python, Omics, R, Geonomics, Clinical Analysis

Nlp, Git, Python, Sql, Gcp, Azure, AWS, LLM fine-tuning