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

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

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

Machine Learning, Sql, Google Cloud, Deep Learning, MLops, Statistical Modelling, Microsoft Azure, Python, AWS, Generative AI, RAG frameworks, vector databases, prompt engineering

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

Matplotlib, Scipy, Pyspark, Apache Spark, Azure Databricks, Sql, Numpy, Git, Pandas, Seaborn, Databricks, Python, Scikit-learn, MLflow, Jupyter Notebook, Azure Data Services

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

containerization , Hadoop Ecosystem, PostgreSQL, Kafka, Big Data Technologies, Tableau, Data Modeling, RDBMS, MySQL, Distributed Systems, Shell scripting, Data Visualization, Python, AWS, Java, Machine Learning, Bi Tools, Flume, Power Bi, Scala, Google Cloud, Jenkins, Spark, MongoDB, Devops Tools, Azure, Statistical Analysis, large-scale application development, R, NoSQL databases, CI CD pipelines

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

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