Python, machine learning libraries, cloud platforms GCP

Databases, Power Bi, Sql, Python, data analysis tools, Quick BI, Data Gathering, self-serve analytics tools, experimentation frameworks, a/b testing

data wrangling , Tensorflow, Pytorch, Python, Statistical Process Control, Data Analysis, scikit-learn, predictive maintenance models, process optimization frameworks, R, Experimental Design, time-series analysis

Tensorflow, Pytorch, Pandas, Gcp, MLops, Azure, Python, AWS, Predictive Time Series modelling, Time Series modelling, scikit-learn

S3, Tensorflow, Lambda, Kinesis, Pytorch, Python, AWS, Sql, Kms, MLops, Iam, Containers, cold start, Amazon SageMaker AI, Thompson Sampling, Hugging Face, vector databases, reinforcement learning, IaC, LinUCB, contextual bandits, off-policy evaluation, observability, LangChain, reward design, Step Functions, Exploration, Glue, Athena, CI CD for ML

data engineering , Sql, MLops, Database Technologies, Shell scripting, Python, AWS, Statistical Modelling, LangChain, reinforcement learning, Vector databases, Optimization, GenAI systems, Transformer models, LangGraph, ELT concepts, R, Deep learning algorithms, LLM models, Structured table transformation, AI Engineering, Multi-criteria decision analysis, Neural embeddings

Power Bi, Tableau, Sql, Python, Machine Learning, Statistical Modelling, R, Forecasting

Machine Learning, Python, R

Machine Learning, Typescript, Data Modeling, Data Visualization, Sql, Python

Java, C, Apis, CSS, Sql, HTML, Git, Javascript, Python, Etl, discrete event simulation, data pipelines, mathematical optimization, cloud platforms, AI-assisted development tools, Operations Research