• Consulted on user-facing BI and data workflows across cloud warehouses like Snowflake, BigQuery, Redshift, DataBricks to identify Warehouse performance bottlenecks and improve dashboard efficiency by 40%.

• Partnered with Product, Engineering, and customer data teams to translate business requirements into scalable data solutions, improving BI workflows

• Built and maintained data pipelines, governed datasets, and semantic data models (DBT, SQL) to support scalable analytics and AI data applications for various domains and use cases.

• Automated AI workflows and internal tooling using Claude, Glean, RAG Systems, Python, Sigma GraphQL APIs, with cloud integrations and object storage across AWS and GCP environments , improving operational efficiency.

• Led root cause analysis and incident resolution to improve system reliability, reducing recurring BI outage issues. Closely collaborated with Product, Customer Success & Support teams to triage issues and influence Product roadmap features and bugs using tools like Jira and Confluence.

• Worked as a Graduate Research Assistant for the Marketing Department at SDSU, assisted on data aggregation, to perform data analysis and interpret huge datasets.

• Utilized Python scripting for web scraping through API's and to optimize data ingestion processes

• Conducted Market research and assisted with forecasting, descriptive analytics of datasets.

• Worked on automating of ingesting large-scale Qualtrics survey data, reducing manual processing.

• Designed BI dashboards, performed data cleaning and transformation, enabling accurate and efficient reporting.

• Mentoring and teaching 100+ first-year students from Business and General Sciences majors, helping them succeed in their academic transition to university life. Enhancing student learning experiences & demonstrating leadership skills serving as an Instructor.

Worked for the Southern California Energy Innovation Network (SCEIN), and as part of this prestigious Fellowship program, I provided technical & product analytics consulting services to Cleantech based startups, helping them navigate challenges and achieve their goals in alignment with California's renewable energy initiatives.

• Consulted for an EV charging startup, to deliver streamlined ETL workflows, data-driven recommendations and visual reports, for EV station site expansion and optimal pricing strategies.

• Built automated data pipelines to ingest and transform data from REST APIs and partner systems, enabling a centralized analytics layer that supported scalable reporting for EV site performance and expansion planning.

• Created interactive dashboards integrated with datasets to monitor charging station performance, energy throughput, and operational efficiency.

• Collaborated with Carbon Blade's product and marketing teams to analyze customer segments, perform risk analysis, and build a go-to-market strategy using cohort data and market research insights aligned with California’s clean energy initiatives.

• Worked on data modeling using Snowflake Data warehouse, Dbt for comprehensive SaaS data analysis and visualization of Healthcare data.

• Built visually appealing ETL Costing dashboards & usage reports on Power BI

• Engineered data pipelines utilizing AWS S3, DBT, Apache Airflow and Python scripts, resulting in a 30% reduction in data warehouse costs