Sejal Randive — Data Analyst

I am a Data Analyst with hands-on experience in building scalable, secure, and cloud-native data solutions that transform raw datasets into actionable insights. Currently at Quantiphi Analytics, I work on designing large-scale SQL queries, building ETL pipelines on Google Cloud, and applying predictive models to uncover revenue drivers, detect risks, and optimize business outcomes. With a strong foundation in Python, SQL Server (SSMS), and cloud platforms (GCP, Azure, AWS), I specialize in developing end-to-end data workflows—from data quality monitoring frameworks to customer analytics hubs—empowering organizations to make faster, smarter, and data-driven decisions. My work has included building real-time pipelines, deploying data lakehouses, and delivering interactive dashboards using Tableau, Power BI, and Looker Studio. I hold multiple Google Cloud certifications, including Professional Cloud Architect, Associate Cloud Engineer, and Cloud Digital Leader, and bring a blend of technical expertise and business acumen to every project. Passionate about solving complex problems, I thrive in cross-functional teams and enjoy driving measurable impact, whether through customer retention improvements or cost optimizations in data infrastructure. Beyond technology, I am disciplined, adaptable, and motivated by continuous learning—always seeking opportunities to bridge the gap between data engineering and business strategy.

Stackforce AI infers this person is a Data Analyst specializing in cloud-based analytics solutions.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 10 mos