Tableau, Excel, Python, Sql, R

regression models , snowflake , Power Bi, Tableau, Redshift, Sql, Quicksight, Time Series Analysis, Decision Trees, Spark, Databricks, Azure, Python, AWS, Gradient Boosting Models, Clustering and Segmentation, Random Forests, Recommendation Systems, Customer Propensity Modeling

Hadoop, Data Security, Data Quality, Data Governance, Clustering, Sql, Metadata Management, Spark, Predictive Modeling, Python, LLMs, Iceberg, Superset, Classification techniques, Knowledge graph

snowflake , Machine Learning, Predictive Modelling, Sql, Google Cloud, Tensorflow, Pytorch, Python, AWS, Airflow, Agentic AI architectures, MLOps orchestration, Statistics, MLflow

snowflake , Machine Learning, Predictive Analytics, Sql, Azure ML, MLops, Statistical Modelling, Databricks, Clustering, Python, Generative AI, model deployment, event-triggered workflows, recommendation engines, CI CD, conversational AI solutions, LLM applications, Segmentation, AI agents, Microsoft Fabric, real-time scoring, RAG architectures, model monitoring

software engineering practices , Neural Networks, Tensorflow, Deep Learning, Numpy, Pytorch, Python, Machine Learning Algorithms, Apis, Version Control, Devops, Pandas, Decision Trees, Agile Methodologies, Keras, Data Integration, statistical analysis techniques, GenAI, scikit-learn, time-series, ML Ops practices, validation methods, LLMs, Classification, Bayesian techniques, population-based meta-heuristic optimization methods, ensemble methods, Data and Cloud environments, Regression

Nlp, Sql, Computer Vision, Python, Kubernetes, Docker, Git, Machine Learning, R, Ai

data quality assurance , Machine Learning, MLops, Python, GenAI, Fine-Tuning, Prompt Engineering, Large Language Models, Retrieval-Augmented Generation

Predictive Modelling, Python, Sql, large-scale data analysis, decisioning logic development, feature engineering

FastAPI, PostgreSQL, Dashboarding, Sql, Docker, Flask, Python, Qdrant, Pinecone, FAISS, Data Storytelling, Milvus, LLM-based structured extraction