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

Machine Learning, Python, Sql, Statistical Analysis, R, statistical models, data infrastructure

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

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

Logistic Regression, Numpy, Pandas, XGBoost, Svm, Random Forest, Python, Sql, LightGBM, Scikit-learn

Advanced Analytics, Machine Learning, Python, Data Analysis, R, Statistical Modeling

Git, Data Modeling, Python, Sql, ML fundamentals, REST API design, LLM GenAI, Data quality governance

Sklearn, Tensorflow, Nltk, Pytorch, Python, LangChain, spaCy, Hugging Face Transformers, LlamaIndex

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