Tensorflow, Pyspark, Scala, Spark, Keras, Python, scikit-learn, MLlib, Machine Learning techniques

data engineering , Advanced Analytics, Advanced Excel, Sql, Predictive Modelling, Data Modelling, Python, Model governance, Explainability principles, scenario analysis, AI-driven analytics, ETL processes, Credit risk analytics, Relational Databases, Data quality best practices

Nlp, Git, Pytorch, Docker, Statistical Analysis, Kubernetes, PEFT, pgvector, scikit-learn, Huggingface transformers, vLLM, Containerisation, LangGraph, dvc, spaCy, LoRA fine-tuning, Large Language Models

Github, Machine Learning, Tensorflow, Numpy, Pandas, Azure Functions, MLops, Pytorch, Docker, XGBoost, Databricks, Azure Machine Learning, Python, Kubernetes, Azure DevOps, scikit-learn, LightGBM, MLflow, Azure Container Apps, Azure Monitor, Application Insights

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

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, model evaluation, Azure AI Search, feature engineering

Predictive Modeling, Machine Learning, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Data Visualization, Azure, Python, AWS, Forecasting, Feature Engineering, model validation, Statistics

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

Sql, Nlp, Nltk, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Scikit-learn, Airflow, Transformer-based models, GPT, BERT