data preparation , snowflake , Neural Networks, Unix, Shell scripting, Random Forest, Python, Ensemble models, Boosting and bagging methods, ML libraries, Distributed data systems, supervised learning, ML pipelines, Feature engineering, Advanced ML techniques, GBM, Regression

Power Bi, Tableau, Regression Analysis, Sql, Python, iri, Generative AI, Statistical modeling techniques, Pricing analytics, Time-series modeling, nielsen, Bayesian modeling, R, CRM

data engineering , Pyspark, Machine Learning, Statistical Modelling, AI ML, Sql, Deep Learning, Tensorflow, MLops, Advanced Analytics, Python, Generative AI, LLMs, Chatbots, R

Hadoop, Apache Spark, Deep Learning, Gcp, Data Visualization, Azure, Python, AWS, LLMs, GenAI models, ensemble methods, R, advanced machine learning techniques

Hypothesis Testing, Tensorflow, Pytorch, Ocr, Python, Generative AI, Prompt engineering, Machine learning frameworks, Statistics, Modeling, Feature engineering, spacy, Large language models, Transformers

Cloud Technology, Deep Learning, Python, Machine Learning, Azure cloud platform, OCR technology, R, algorithmic problem solving

Sql, Databricks, Python, generative AI, statistical methods, feature engineering, evaluation approaches for generative AI outputs, intent detection systems, cloud platforms, LangChain, AWS Bedrock, Data Analysis, Knowledge Graphs, prompt engineering, LangGraph

Pandas, Seaborn, Pytorch, Python, Numpy, Matplotlib, Shapely, Sci-Kit Learn, GeoPandas, StatsModels