Designed and implemented a generative AI chatbot that automates access to key sales KPIs for internal stakeholders.

Enabled faster, more accurate decision-making by integrating the chatbot with door sales data.

Collaborated with cross-functional teams to identify high-impact metrics and build intuitive data views.

Improved data accessibility and stakeholder engagement through natural language querying.

Developed and deployed time-series forecasting models on AWS and Spark to identify cloud cost anomalies, leading to a 32% reduction in overruns for 50+ enterprise accounts.

Managed and optimized telemetry pipelines processing 5M+ daily records to ensure the reliability of mission-critical global analytics dashboards and executive reporting.

Conducted 25+ causal A/B tests to quantify the impact of new features, providing data-driven insights that contributed to a 30% increase in product adoption.

Collaborated with Product and Engineering teams to define key performance indicators and telemetry requirements, aligning technical development with business strategy.

Improved the efficiency of data models and SQL execution within cloud environments, reducing data retrieval times and accelerating the overall business decision-making cycle.

Automated real-time anomaly detection and reporting using SQL and Python, reducing incident response times by 50%.

Built CI/CD-integrated data validation frameworks to prevent schema drift, improving platform data reliability by 40%.

Conducted root-cause diagnostics on 50+ API performance issues, resulting in a 35% improvement in system response times.

Partnered with engineering teams to optimize query execution and backend workflows, increasing transaction success rates by 25%.

Designed automated monitoring pipelines to ensure high data quality standards for high-volume brokerage and investment transactions.

• Work on system design, testing, and implementation activities.

• Recommending system enhancements and upgrades for performance efficiency.

• Troubleshoot configuration failures and issues in a timely manner.

• Worked with client teams to understand the requirements and create a suitable and effective workflow for them.

• Worked on various SQL and PL/SQL queries that would be more efficient than Java applications.