Machine Learning, Python, Sql, R, Machine Learning Operation frameworks, Ai, Knowledge Graphs

Loss Given Default (LGD), Probability of Default (PD), Exposure at Default (EAD), Sql, Numpy, Pandas, Statistical Modelling, Python, Logistic Regression, transition matrices, Data Analysis, scikit-learn, IFRS 9 ECL modelling, macroeconomic modelling, Survival Analysis, recovery analysis, statsmodels

Site Reliability Engineering (SRE), Prometheus, Grafana, Gcp, Cloudwatch, Terraform, Ansible, Incident Management, Helm, Python, Kubernetes, AWS, GKE, Chaos Engineering, OKE, EKS, Cloud Monitoring, oci, Infrastructure-as-Code

data engineering , Java, BigQuery, Google Cloud Platform, Data Management, Dataproc, Microservices, Cloud Storage, Devops, MLops, Agile, Data Governance, Python, online machine learning systems, event-driven systems, event streaming, Cloud Composer, Vertex AI, Data Flow, CI/CD

Java, BigQuery, Hadoop, Kafka, Hive, MLops, Spark, Databricks, Python, Kubernetes, Airflow, HDFS, Delta Lake, CI/CD

Java, Fault Tolerance, Distributed Systems, Incident Response, Terraform, Python, Kubernetes, Infrastructure as Code, Service-Level Indicators, Service-to-Service Communication, Go, Root-Cause Analysis, Microservice Design Patterns, Capacity Planning, Data Consistency, Operational Runbooks, Highly Available Service Design, Observability

Large Language Models (LLMs), Voice bot technologies, Transcription optimization, Machine learning pipelines, Data labelling strategies