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

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

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures

Hadoop, Natural Language Processing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Keras, Azure, Python, Kubernetes, AWS, LangChain, DSPy

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

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

probability , statistical concepts , Tableau, Sql, Clustering, Python, Sap Business Objects, regressions, Looker, R-Shiny, R, Microstrategy

Github, Pandas, Docker, Python, Data Analysis, Demand Forecasting, Supply Chain Analytics

Machine Learning, XGBoost, Excel, Random Forest, Python, Sql, R