Experienced Python and Back-End Developer with over 3 years of proven expertise. Passionate about crafting robust solutions and driving impactful results. Ready to excel in collaborative environments and tackle complex challenges head-on.• Developed sophisticated ML algorithm with agile attribution Bayesian framework for seamless MTA platform integration. • Applied user-centric design principles to optimize the analytical application for intuitive responsiveness. • Engineered a robust model utilizing advanced algorithmic design and deep learning techniques for extracting granular insights from large datasets. • Utilized Python libraries (scikit-learn, SciPy, Pandas, NumPy, etc.) for comprehensive data manipulation and analysis, seamlessly integrated with object-oriented Python code. • Implemented various statistical techniques (Pearson correlation, logistic regression, ridge regression, semi-partial correlation, etc.) for data-driven decision-making. • Integrated Apache Spark for distributed processing, ensuring scalability with extensive datasets. • Orchestrated AWS deployment, leveraging Lambda with SQS triggers, Batch for Python in Docker, EMR for Spark, and seamless S3/DynamoDB integration for efficient data management. • Established CI/CD Pipelines, including pull requests, code reviews, and rigorous testing for robust deployment.• Solid understanding of OOPS concepts, Python Libraries, Interfaces, and Generics for writing reusable,testable, and maintainable code.• Well-trained and knowledgeable in front-end technologies: HTML, CSS, JavaScript, jQuery, and Bootstrap.• Quick learner, self-starter, and willing to take on key roles in projects.• Demonstrated ability to work with minimum or no supervision.• Collaborative nature, making a valuable asset to cross-functional teams.