Experienced in analyzing and uncovering actionable insights from data. specialize in A/B testing, experimentation design, and statistical analysis. Proficient in designing, building, and deploying Machine Learning models for production. Focused on testing methodologies for ML models to ensure reliability and performance. Skilled in creating and automating end-to-end ML pipelines using tools like Airflow. Hands-on experience with cloud platforms such as AWS and GCP for data engineering and model deployment. Tools and Technologies Languages & Libraries: Python, SQL, PySpark, MongoDB, HTML Data Visualization: Tableau, PowerBI Cloud Platforms: AWS (EMR, Lambda, Sagemaker, Fargate), GCP (BigQuery, Redshift), OCI DevOps: CI/CD, Docker, Git Machine Learning: Supervised & Unsupervised Learning, Natural Language Processing (NLP)