Pyspark, PostgreSQL, Numpy, Pandas, Postgis, Matplotlib, Python, Airflow, scikit-learn, GDAL, Rasterio, kepler.gl, plotly, Fiona, Prefect, DuckDB, Dask, geopandas

snowflake , SFDC, Marketo, Sql, Python, ELT, Etl, Airflow, R, dbt, Fivetran

Nlp, Unsupervised Learning, Sql, Python, Model lifecycle management, supervised learning, AI ML techniques, Risk Scorecard, Optimization, Propensity models

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, MlFlow, Dagster, Lake Warehouse architectures, model monitoring

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

Pyspark, Azure Databricks, Sql, Tensorflow, Deep Learning, Azure ML, Numpy, Nlp, Pandas, Pytorch, Python, Scikit-learn, Forecasting, MLflow, anomaly detection, CI CD, ML deployment, Synapse, model tuning, ML techniques, Statistics, MLOps tools, feature engineering

Matplotlib, Tableau, Sql, Nosql, Tensorflow, Numpy, Nltk, Pandas, Pytorch, Seaborn, Keras, Python, Gensim, GPT, Scikit-Learn, R, BERT, SpaCy

snowflake , causal inference , BigQuery, Pandas, Spark, Python, Sql, Statistical Analysis, scikit-learn, cloud data environments, statsmodels

MLops, Pytorch, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Experiment reproducibility, Multimodal models

Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models