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

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

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

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

Statistical Analysis, Data mining, Clustering, Autoencoders, Machine Learning, Predictive Modelling, Dimensionality reduction, Ai, Linux experience, Outlier detection, Applied statistics, Semi-supervised methods

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

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

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

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