Senior Data Scientist with strong background in leading analytics projects across various industries, skilled in• Machine Learning: Supervised/unsupervised learning, deep learning(CNN, RNN, LSTM), NLP, and reinforcement learning• Statistical Analysis: Hypothesis testing, AB testing, and advanced regression models.• Forecast Modeling: Time series analysis, demand forecasting, and predictive analytics.• Programming: Python, R, SQL, and frameworks like TensorFlow, PyTorch, and Scikit-learn.• Big Data and Cloud: AWS (S3, Redshift, Glue, Athena, CloudWatch), Azure (Data Factory, Synapse Analytics, Azure ML, and Monitor), Databricks, MS SQL Server, SAS, ERP Oracle, ERP SAP• Data Engineering: Scalable data pipelines using Apache Spark, Hadoop, and ETL/ELT tools.• Data Visualization: Tableau, Power BI, Quicksight• Leadership: Team mentoring, cross-functional collaboration, and aligning data strategies with business goals