data engineering , Advanced Analytics, Machine Learning, Apache Spark, Kafka, Sql, Big Data Technologies, ELT, Deep Learning, Nlp, Data Quality, Gcp, Data Science, Data Governance, Azure, Etl, AWS, Airflow, Generative AI, cloud-native architecture, NoSQL databases, model deployment, ML Ops

containerization , Orchestration, Neural Networks, Svm, Tensorflow, Nlp, Pytorch, Docker, Excel, Python, Hadoop, Version Control, Impala, Sql, Hive, Computer Vision, Spark, Qlikview, Kubernetes, GPT, machine learning techniques, R, MLOps tools, BERT, GANs, generative AI techniques, deep learning algorithms, recommender engines, Big Data Tools

Tensorflow, Pytorch, Hadoop, Spark, Databricks, Scikit-learn, Azure/GCP/AWS

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

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

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

Predictive Modelling, Machine Learning, Python, Sql, R, advanced statistical analysis