cart , Logistic Regression, Machine Learning, Multivariate Analysis, Factor Analysis, Neural Networks, Support Vector Machine, Clustering, Random Forest, Deep Learning, Linear Regression, XGBoost, Time Series Analysis, Decision Trees, Python, Principal Component Analysis, Sampling Techniques, Gradient Boosting, Generalized Linear Model, Optimization, Statistical Approaches, R, Stochastic Models

data engineering , Machine Learning, Data Science, Python, data workflows, Data Processing, code reviews

data wrangling , Machine Learning, Excel Vba, Python, Data Visualization, Tableau, Problem Formulation, Statistical Validation, Data Storytelling, R

Machine Learning, Ibm Cloud, ELT, Python, AWS, Natural Language Processing, Sql, Deep Learning, Gcp, MLops, Databricks, Rest Apis, Azure, Etl, Hugging Face, MLflow, ML DL libraries, LangGraph, Microsoft Semantic Kernel, LangChain, Generative AI, LLMs, LLaMA, Crew AI, Delta Lake, OpenAI, Retrieval Augmented Generation

Tensorflow, Pandas, MLops, Pytorch, Data Modeling, Numpy, Python, Spark, engineering best practices, Evaluation frameworks, Retrieval-Augmented Generation, API-based model integrations, feature engineering, scikit-learn, deep learning frameworks, CI CD, big data tools, Prompt orchestration, QA risk management, data transformations, GenAI applications, Tool-using agents, data pipelines, Agentic workflows, data quality management, model monitoring

Text Analytics, Sql, Tensorflow, Nlp, Pytorch, Python, PEFT, Generative AI, Agentic AI Framework, Google Gemini, fine-tuning for pre-trained models, NLG, Data mining techniques, ML Ops, R, RAG Vector Database, LoRA, NLU, OpenAI, QLoRA

Pyspark, Machine Learning, Hive, Spark, Python, Statistical Analysis, Deep Learning, GPUs, Modeling

Logistic Regression, XGBoost, Etl Tools, Python, Sql, Random Forest, Time Series Forecasting, Gradient Boosting

Power Bi, Python, Distributed Computing, AI automation platforms, infrastructure as code, business intelligence, Azure Fabric, Data Storage, cloud-based native tools