Pyspark, Data Management, Sql, DevSecOps, Software Engineering, Machine Learning Algorithms, Python, Open-Source Programming Languages, Data Preprocessing, Statistics, Artificial Intelligence Systems, Ericsson Business Intelligence and Analytics Competence, Cloud Development

process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised ML

Power Bi, Pyspark, Sql, Nlp, Machine Learning, Siem, Databricks, Python, AWS, GenAI, SOAR, Statistical Modeling, Graph analytics

Numpy, BigQuery, Data Manipulation, Pandas, Python, Vertex AI, Jupyter, Google Cloud Functions, machine learning techniques, GCP services

data engineering , Data Analytics, Web Scraping, Deep Learning, Data Extraction, Nlp, MLops, Azure, Python, AWS, Git-based CI CD workflows, Generative AI, AI Agents, LLMOps, cloud platforms, RAG, Data Communication, synthetic data techniques, Multimodal AI, DL frameworks, entity recognition

Machine Learning, Power Bi, Pyspark, Sql, Nlp, Siem, Databricks, Python, GenAI, SOAR, anomaly detection, Feature engineering, Statistical Modeling, Cloud data services, Graph analytics

CrewAI, Agentic AI architectures, feedback loops, orchestration tools, conversational agents, Ontology Layers, Graph Knowledge Bases, AutoGen, LangGraph, multi-agent workflows, scalable low-latency AI-powered platforms, Generative AI applications

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

Power Bi, Pyspark, Sql, Nlp, Machine Learning, Siem, Databricks, Python, AWS, GenAI, SOAR, Statistical Modeling, Graph analytics

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