React, Flask, Python, multi-touch attribution, distributed cloud-computing data science platforms, Shiny, R, Streamlit, marketing mix modeling

Cassandra, Pyspark, Tableau, Svm, Tensorflow, Numpy, Python, Hadoop, HBase, Sql, Naive Bayes, Artificial Neural Networks, Hive, Pandas, XGBoost, Spark, Databricks, MongoDB, Keras, Aws S3, machine learning techniques, k-NN, Decision Forests, Map Reduce, Credit Risk, NoSQL databases, Scikit-learn, SageMaker, collections management, Athena

Advanced Analytics, Ml, Machine Learning, Sql, Python, scalable data architectures, Generative AI, R, cloud-based data platforms, Ai

Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems

Gitlab, Python

S3, Tensorflow, Numpy, Azure ML, Lambda, Pandas, Ec2, MLops, Docker, Keras, Python, AWS, scikit-learn, Azure Blob Storage, plotly, SageMaker, MLFlow, Large Language Models

Tensorflow, Numpy, Pandas, Python, Model deployment, Time Series Forecasting

Machine Learning, Sql, Python, Agent-based systems, AI-driven solutions

Deep Learning, Nlp, Spark, Sql, Python, LLMs, classical machine learning

prophet , Distributed Computing, Pyspark, Tensorflow, Pytorch, Numpy, Python, AWS, Sql, Pandas, Arima, Spark, Azure, ETS, scikit-learn, Bias, large-scale time series datasets, CI CD, adaptive forecasting systems, performance KPIs, forecasting techniques, ML-based forecasting, backtesting, cloud platforms, MAPE, auto-retraining, MAE, causal models, hierarchical forecasting