Pyspark, Python, Programming, R, Visualization, Data Interpretation, Model development and validation, Building and evaluating algorithms, SQL querying, Evaluating regression problems

Pyspark, Machine Learning, Hive, Python, Statistical Analysis, Sql, Generative AI, AI-powered applications, LLMs

Data Analytics, Testing, Microservices, Test automation, Application Security, Docker, Rest Apis, Python, Kubernetes, Monitoring and observability, cloud application development, cloud-native applications, Monitoring, Azure OpenAI, Azure AI Foundry, Azure AI Search, Infrastructure-as-Code

Pytorch, XGBoost, Python, Sql, scikit-learn, LightGBM, CatBoost

Data Science, Pyspark, Databricks, Azure, Python, Sql, Deep Learning, AWS, Statistics, Life Sciences Data, Unsupervised ML, Supervised ML

object detection , Machine Learning, Pyspark, Sql, Deep Learning, Docker, Kubernetes, Ocr, Python, Computer Vision, LLMs, Geospatial models, Facial recognition, Cloud environments, Statistical Modeling, ML pipelines, Real-time data processing frameworks, RAG architectures, Time-series forecasting

Gcp, Docker, Azure, Kubernetes, Python, AWS, Tensorflow, REST, Pytorch, Apis, LLM-powered applications, advanced retrieval search systems, data preprocessing, deep learning frameworks, ML engineering, feature engineering, AI applications, GRPC

Python, Sql, AI fluency, Data Quality Checks, LLMs, Data Pipelines, data infrastructure, data models

Sql, Tensorflow, Tableau, Deep Learning, MLops, Power Bi, Pytorch, Python, Nlp, R, cloud platforms, big data tools, ML frameworks

Text Analytics, Tensorflow, Numpy, Nlp, Nltk, Pytorch, Excel, Python, Power Bi, Sql, Pandas, Spark, Databricks, knowledge graphs, pgvector, scikit-learn, vector databases, evaluation frameworks, Streamlit, RAG pipelines, SpaCy, LLMs, prompt engineering, Agentic AI, FAISS, feature stores, knowledge databases, embeddings