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

Machine Learning, Sql, Deep Learning, Tensorflow, Pytorch, MLops, Python, Generative AI, RAG, CI/CD, Pipeline Orchestration, MCP

Predictive Modeling, Machine Learning Algorithms, Predictive Analytics, Python, R

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Machine Learning Algorithms, Sql, Random Forest, Pca, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Performance evaluation, Generative AI, Model monitoring, Feature engineering, Statistical Modeling, Prompt engineering, AI governance

data engineering , Sql, Deep Learning, Rest Apis, MLops, Gcp, Data Architecture, Machine Learning, AWS, Kubernetes, Python, Azure, Docker, AI Security, LLMs, LlamaIndex, LLMOps, CI CD, Weaviate, RAG AI Agents, LangChain, CrewAI, Pinecone, LangGraph, Milvus, Governance, Vector Databases, Chroma, Generative AI

Kubernetes, Prometheus, Grafana, Microservices, Tensorflow, Nlp, Pytorch, Docker, Python, Azure DevOps, Jenkins, FastAPI, vector search, Pinecone, CI CD, GitHub Actions, LLaVA, multimodal LLM frameworks, LangChain, speech models, Cv, FAISS, KServe, Weaviate, LlamaIndex

Natural Language Inference (NLI), Named Entity Recognition (NER), Small Language Models (SLMs), Conversational AI systems, Generative AI, Contrastive learning, SLM adaptor fine tuning, Graph learning based embedding methods, Active learning pipelines, Retriever frameworks in Q&A bots

Nltk, Pytorch, Gcp, Azure, Python, Sql, AWS, Scikit-learn, Transformer-based models

Python, Distributed Systems, Pytorch, MLops, Spark, Sql, Computer Vision