probability , Tensorflow, Numpy, Nlp, Pytorch, Python, AWS, Apis, Clustering, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, end-to-end ML models, Training, batch real-time, large datasets, model evaluation, Classification, Deployment, Validation, data preprocessing, Data Analysis, ML algorithms, Cloud platforms, Scikit-learn, Statistics, Regression, Recommendation Systems, tuning techniques, feature engineering, ML model deployment

Data Science, Data Management, Debugging Techniques, Data Analysis, Modeling, Statistical Techniques

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

Predictive Modelling, Data Analytics, Tensorflow, Deep Learning, Git, MLops, Pytorch, Azure, Python, AWS, Statistical Analysis, Data Processing, data management tools, Data Communication, feature engineering

Ml, Machine Learning, Sql, Python, GenAI, Statistical Modeling, Ai, Data Analysis, Llm

Python Programming, Data Analysis, Jupyter notebooks, data science methodologies

bagging , cart , S3, Machine Learning, Svm, Numpy, Lambda, Ec2, Batch, Python, AWS, Matplotlib, Scipy, Emr, Text Mining, Sql, Deep Learning, Pandas, GenAI, Comprehend, Boosting, Object-Oriented Programming, Athena, Textract

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

Machine Learning, data analysis tools and techniques