Tensorflow, Data Science, Azure ML, Machine Learning, Pytorch, Data Warehouse, AI ML, Sql, Etl, NLP Natural language processing

Tensorflow, Distributed Computing, Python, Sql, Data Analysis, Visualization, model evaluation, R, MLOps practices and tools, big data tools

data wrangling , Machine Learning, Power Bi, Tableau, Excel Vba, Python, Advanced Statistical Modeling, Design Thinking, Statistical Validation of OKRs, R, Data Literacy, Problem Formulation, Data Storytelling, Technical Decision Making

snowflake , Aws Services, Automated Testing, Sql, Deep Learning, Nlp, MLops, Docker, Databricks, Clustering, Python, LangChain, Sigma, tree-based methods, Classification, LangGraph, agentic workflows, Regression, NLQ, RAG, Streamlit, model monitoring

Sql, Python, forecasting approaches, statistical methods, machine learning techniques

Sql, Python, audience segmentation, supervised machine learning, Bayesian approaches, meta analysis, marketing mix modeling, Root Cause Analysis, automated analytics pipelines, R, unsupervised machine learning, modeling frameworks, geo experiments, Marketing Analytics, Experimental Design, propensity modeling

Machine Learning, Data Science, Power Bi, customer analytics, Churn Prediction, Propensity Modeling, Segmentation

probability , Customization, Numpy, Nlp, Pytorch, Flask, Python, Ml, Redis, Sql, Deep Learning, Django, MLops, Pandas, FastAPI, scikit-learn, multimodal systems, Hugging Face Transformers, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, SpaCy, TF 2, fine-tuning, Transformers, GNNs, R-Shiny, prompt engineering, Statistics

Statistical Analysis, Sql, Python, Predictive Modeling, Machine Learning, LangChain, AI Agents, GCP Platform, LangGraph, Recommendation Systems, Data Exploration

Machine Learning, Sql, Python, experimentation, Statistics, ML libraries