Python, Machine Learning, Graph Analytics Digital Twin Analytics, Statistics, KPI Feature Engineering, LLMs RAG and AI Agents, Fault Analysis Correlation Anomaly Detection, TMF SID Open APIs, AIOps Predictive Analytics, Network Performance Analytics RAN Core IP SD-WAN Transport, BigQuery or equivalent platforms, Data Pipelines Quality Management

data engineering , causal inference , Machine Learning, Python, Statistical Modeling, Deep learning frameworks and architectures, Decision-focused modeling

snowflake , Machine Learning, Sql, Databricks, Automated Testing, Tableau, MLops, Power Bi, Bi Tools, Git, Azure ML, Azure DevOps, Statistical Analysis, Python, Monitoring, Ai, Optimization, anomaly detection, Decision Support, Azure AI, ML pipelines, Feature engineering, Time-series models, RAG, Data exploration, Llm, CI/CD, Model deployment, Machine Learning frameworks, Forecasting, Agentic AI, Generative AI

Ml, Summarization, Sentiment Analysis, Optimization Algorithms, Workflows, Nlp, Clustering, LangChain, data pipelines, LLMs, content generation, Ai, Classification, ML models, GenAI applications, Regression, LlamaIndex

Sql, Deep Learning, Devops, Ms Azure, Azure ML, Data Cleansing, Python, Airflow, Feature selection, Probability concepts, MLflow, Feature engineering, multivariate statistics

Sql, Deep Learning, Ms Azure, Azure ML, Devops, Python, Data Cleansing, Airflow, MLflow, multivariate statistics, Feature selection, Probability concepts, Feature engineering

Deep Learning, Machine Learning, python, GANS, model fine-tuning, Data Processing, transfer learning, generative models, reinforcement learning, prompt engineering, DALL.E, BERT, Streamlit, GPT-3, Variational Autoencoders, transformer-based models