snowflake , Python, BigQuery, Sql, MLops, Spark, Databricks, Statistical Analysis, Airflow, data pipelines, Braze, recommendation, time-series, ML models, Crm Systems, ML Engineering pipelines, data manipulation frameworks, marketing activation platforms, Kubeflow, feature stores, experimentation design, model deployment workflows, uplift, Classification, SageMaker

snowflake , Python, BigQuery, Sql, MLops, Spark, Databricks, Statistical Analysis, Airflow, data pipelines, Braze, recommendation, time-series, ML models, Crm Systems, data manipulation frameworks, marketing activation platforms, Kubeflow, feature stores, experimentation design, model deployment workflows, uplift, Classification, SageMaker

SQL (advanced data querying and manipulation), Power BI (dashboarding, data modelling), Python (data analysis and machine learning), Predictive Modelling (regression & classification), Databricks / Apache Spark (big data processing), Dax

probability , Machine Learning, Data Modeling, Data Structures, Software Architecture, Data Visualization, Predictive Analytics, Sql, Python, Statistical Modeling, Statistics

Machine Learning, Software Architecture, Predictive Analytics, Data Visualization, Data Modeling, data structures, Python, Sql, probability statistics, Statistical Modeling

Tensorflow, Pytorch, Spark, Databricks, Sql, Python, scikit-learn, MLflow

Machine Learning, Data Architecture, Data Modeling, Algorithms, Data Processing

Natural Language Processing, Power Bi, Sql, Pytorch, Python, Tensorflow, Tableau, Azure Machine Learning, Deep Learning, AWS Quicksight, R, AWS Sagemaker

Data Visualization, Data Extraction, Sql, Data Cleaning, Python, Statistics, R, Root Cause Analysis, Data Analysis, E-receipt capture methodologies

Sql, FastAPI, Python, Dashboarding, Flask, PostgreSQL, LLM-based structured extraction, Data storytelling