Machine Learning, Google Cloud, Sql, Deep Learning, Sklearn, Tensorflow, Numpy, Pandas, MLops, Pytorch, Ibm, Docker, Azure, Python, Kubernetes, AWS, LLMOps tooling, Polars, Time-series Econometric modeling, Gen-AI applications

data engineering , Sql, Data Science, MLops, Database Technologies, Shell scripting, Python, Statistical Modelling, LangChain, reinforcement learning, Vector databases, GenAI systems, Transformer models, LangGraph, End-to-end model development, ELT concepts, R, Deep learning algorithms, LLM models, AI Engineering, Multi-criteria decision analysis, Neural embeddings

Solarwinds, Gcp, Power Bi, Tableau, Python, Sql, AWS, R, ThousandEyes

Data Science, Power Bi, Tableau, Predictive Analytics, Python, Sql, R, Business Intelligence

Tensorflow, Machine Learning, Pytorch, Predictive Modeling, XGBoost, Data Visualization, Python, Sql, Data Analysis, scikit-learn, Statistical Modeling

Machine Learning, Powerbi, Data Visualisation, Data Cleaning, Python, R, statistical methodologies, pre-processing, feature engineering, data science models

Machine Learning, Data Cleaning, Dashboards, Agile Project Management, Powerbi, Data Visualisation, Python, model deployment, pre-processing, data insights, data science models, data quality issues, R, interactive visualisations, statistical methodologies, Stakeholder Management, feature engineering

Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Python, hyper-parameter optimization, pipeline development, Visualization, Amazon Quick Sight, Data Processing, object-oriented programming, data platforms, CI CD, Scikit-Learn, Transformation, model validation, test-driven development, AWS SageMaker, data ingestion, feature selection

data warehouses , Machine Learning, Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Data Analytics, Python, Etl, data pipelines, Scikit-Learn, AWS SageMaker