Keerthana Murali

Data Analyst with 1+ years of experience across SQL, Python, PySpark, Azure Data Factory and Databricks, combining technical data workflows with real-world business operations. Experienced in working with multi-source sales, inventory and operational data, with a focus on data transformation, standardization, automation and reporting.

Data Analyst at Minus 30 Pvt. Ltd. (2026-04 – Present)

• Built a metadata-driven Azure Data Factory workflow to standardize sales data from 6 source streams across 3 data formats, including 10–12 daily sales files, into a unified structure for consistent daily reporting and analysis
• Developed Python-based inventory triggers to identify MOQ breaches and automatically notify stakeholders by email, supporting procurement and replenishment planning.
• Worked across multiple business verticals to translate reporting requirements into standardized datasets and recurring/adhoc reports, supporting operational decision-making across functions.
• Tracked and analyzed dispatch and logistics data across operational trackers, flagging delays and mismatches against production and inventory availability to improve fulfillment visibility.

Data Analyst at Helio Insights (2025-04 – 2025-11)

• Contributed to retail data workflows involving sales, customer, product and inventory datasets, supporting data preparation and downstream analytics.
• Used SQL and PySpark to clean, transform and standardize transactional data for analysis and reporting.
• Worked with Azure Data Factory and Databricks as part of team data workflows, gaining hands-on exposure to data ingestion, pipeline orchestration and distributed processing.
• Developed retail KPI dashboards in Power BI, translating standardized orders, customer and inventory data into reporting views for business and operations teams.

Data Analyst at Helio Insights (2025-04 – 2025-11)

Pharma LIMS Analytics Dashboard | Power BI

• Built a Power BI dashboard to track sample lifecycle and QC metrics, giving stakeholders visibility into day-to-day lab performance.
• Set up scheduled data refresh so reports stayed current without manual updates.
• Supported trend analysis that helped flag recurring quality-review delays.

B.Tech in Information Technology – Sri Venkateswara College of Engineering (SVCE) (2021 – 2025)

Foundational level in Programming and Data Science – IIT Madras (2022 – 2025)