Apache Spark, Sql, Tensorflow, Numpy, Pandas, Pytorch, Databricks, Python, Azure DevOps, scikit-learn, Jupyter notebooks, MLflow, Pinecone, VS Code, GitHub Actions, Chroma, FAISS, Vertex AI, Delta Lake, Databricks Workflows

Devops, Cloud, Python, Forecasting, Data Analysis, Statistics, Medical Insurance

Sql, Regression Analysis, Python, Time-series modeling, R, Bayesian modeling, Pricing analytics, Statistical modeling techniques, Generative AI

Sql, Numpy, Seaborn, Git, Pandas, Gcp, Opencv, Matplotlib, Databricks, Python, AWS, AutoGluon, scikit-learn, Mosaic ML, MLflow, H2O.ai, YOLO, Azure services, AutoML

Gcp, XGBoost, Databricks, Python, Sql, AWS, Scikit-learn, MLFlow

data wrangling , business insights , Cloud AWS, Predictive Modeling, Machine Learning, Big Data, Sql, Data Visualization, Azure, Statistical Analysis, Python, Forecasting, Feature Engineering, Stakeholder Communication, Optimization, Pricing, Model Deployment, yield

Machine Learning, Natural Language Processing, Git, Pytorch, Docker, Flask, FastAPI, Python, Hugging Face Transformers, VS Code, Jupyter Notebook, Vector Databases, Large Language Models

Kafka, Spring Boot, Tensorflow, Nlp, Pytorch, Docker, Python, Hadoop, Sql, Big Data Technologies, Django, Azure ML, Hive, MLops, Spark, FastAPI, Rest Apis, Kubernetes, Computer Vision, scikit-learn, Hugging Face, CI CD, CNNs, web backend integration, GCP AI Platform, Vision Transformers, Generative AI, LLMs, cloud platforms, AWS SageMaker, Transformers, RAG, ML frameworks

Golang, Machine Learning, Spark, Databricks, Python, AWS, Microservices, Langchain, OpenAI Agent SDK, MLFlow, Distributed Data Processing

data preparation , snowflake , Unix, Random Forest, Neural Networks, Shell scripting, Python, Boosting and bagging methods, Ensemble models, ML libraries, Regression, Advanced ML techniques, Feature engineering, GBM, supervised learning, Distributed data systems, ML pipelines