Eda, Tensorflow, Nlp, Pytorch, Python, LLAMA2, Classification Q A networks using BERT, T5, deploying open-source LLMs, Lang Chain framework, Fast API, Semantic Search techniques, Topic Modeling, Open AI, FLAN, Embedding models, MLOps frameworks, cloud-based deployments, NER, LLMs via APIs

Python, Sql, Etl, Big Data, Data Warehousing, Spark, Hadoop, Machine Learning, Data Modeling, Cloud Computing

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

Machine Learning, Predictive Modelling, Python, Sql, Contextual Bandits, NBO NBA Propensity Modelling, Customer Segmentation, GenAI Prototype Application Development

data preparation , Github, Devops, Pyspark, Machine Learning, Databricks, Predictive Modelling, Python, Sql, MLops, Statistical Modelling, Feature engineering

Sql, Python, Campaign Analytics, GenAI, Customer Segmentation, customer analytics

Clustering, Sql, MLops, Python, Computer Vision, Neural Networks, Generative AI, Statistics, Regression, versioning, Classification, Vector stores, Vision-language models, Embeddings, Experiment tracking, Prompt design and evaluation, Containerisation, Feature engineering, Model registry

Tableau, Metadata Management, Azure Data Bricks, Power Bi, Api Integration, Sql Queries, Erwin, Azure Data Factory, RDBMS, Azure Data Lake, Etl, Er Studio, Azure Data Warehouse, performance tuning of SQL queries, Source to Target mapping, Polybase, ExpressRoute tunneling, dimensional NoSQL, data models, data modeling principles, XML and Schemas, data ingestion protocols

Python, R Programming, Sql