• Led a team of 6 engineers to establish an internal predictive model platform on in-premise Azure Cloud. Examined the utilities and ease of development of various Azure ML services.• Implemented MLOps pipelines using tools such as Kubernetes and Docker to streamline model development, deployment, and monitoring, resulting in a 50% reduction in time-to-market for machine learning models. • Led the development of an in-house data exploration and profiling tool using Streamlit to capture and profile data from various sources using JDBC/ODBC connectors.• Led the project to re-develop 14 SAP BO dashboards in Tableau. Worked as a technical architect for Tableau development and oversaw entire data processing frameworks.• Created an optimization algorithm to create a personalized contact model for a product sales team of a large mutual fund distributor that suggests how to optimally target X number of customers in each period.• Developed classifier models to predict tags for marketing email campaigns. Analyzed and recommended steps for optimizing email campaigns improving engagement rate by 13%.• Trained staff data scientists on advanced predictive models such as adaboost and GBM.• Mentored staff data scientists across various phases in ML model development.• Conducted classroom sessions on end to end data science curriculum focused on sklearn and pandas.

• Worked as a resident data scientist for Govt. of Andhra Pradesh to seek and apply ML techniques in Food & Supply as well as Mines and Geology department.• Conducted thorough data profiling to assess the quality and completeness of various data samples, generating detailed correctness and completeness scores. This enabled easy consumption of the data and provided valuable insights for data-driven decision-making.• Analyzed historical sales data and forecasted future demand for food and supplies, resulting in optimized inventory levels, reduced waste, and improved product stocking accuracy.• Developed a sophisticated sentiment detection and topic model extraction algorithm to analyze speeches given by the Chief Minister and news channel coverage of those speeches. This enabled accurate identification of key topics and sentiment analysis, providing valuable insights for decision- making and strategic planning.

• Built classification models to detect the would-be defaulters in each billing cycle for a digital content platform.• Designed classification algorithms to suggest tags and genres for various text/audio/video contents. Created frameworks for targeted customer profiling and developed group personas of various customer segments.• Developed a customer attrition model for a leading mobile insurance industry player using Logistics Regression to detect dormant customers on the verge of attrition with 82% accuracy. • Steered the development of a tableau dashboard to analyze the performance of a photo-sharing app through 26 customer-centric and 13 product-centric metrics.

• Conducted comprehensive software quality assurance testing, including functional, regression, and integration testing, to ensure that software met or exceeded customer requirements and industry standards.• Wrote automation test scripts to check for bugs in various production-grade applications and utilities. Worked closely with development teams to detect failure points in advance. • Utilized automated testing tools, such as Selenium and JMeter, to streamline the testing process and improve testing efficiency.• Managed the entire test preparation process including test data preparation, efforts, resource estimation, and test plan execution. Evaluated and selected performance testing standards for web applications and performed stress tests on various occasions.

• Developed and executed performance and stress testing plans to identify and resolve software performance issues, resulting in improved software reliability and user experience.• Conducted root cause analysis of software defects and worked with development teams to implement effective solutions, reducing the number of defects, and improving software quality.• Developed and maintained test plans, test cases, and test scripts, ensuring that testing was comprehensive and repeatable.• Conducted risk analysis and develop risk mitigation strategies to minimize the impact of software defects on project timelines and budgets.• Conducted user acceptance testing to ensure that the software met user requirements and was intuitive and easy to use.• Provided training and support to team members on software testing best practices and tools, improving overall team efficiency and effectiveness.

• Conducted comprehensive business analysis, including requirements gathering, stakeholder interviews, and process mapping, to identify business needs and opportunities for improvement.• Developed and maintained business requirements documentation, ensuring that requirements were clearly defined, measurable, and aligned with business objectives.• Conducted market research and competitive analysis to identify industry trends and opportunities for growth, providing valuable insights for strategic planning.• Utilized data analysis tools, such as Excel, to analyze business data and generate insights for decision-making.• Developed and implemented business process improvements, resulting in increased efficiency, productivity, and profitability.• Collaborated with cross-functional teams to develop and implement business strategies, ensuring that strategies aligned with project goals and timelines.