Aishwarya Ranalkar

Results-oriented professional adept at leading teams to implement data driven solutions and aligning business objectives with digital strategies. Skilled in requirements gathering, backlog management , data engineering and analytics with a proven ability to enhance product functionalities. Committed to driving innovation and delivering tangible results that propel organizational success.

Project 1: Material's Procurement Planning tool

Role: Product Owner

Techstack: SQL, Spotfire, Azure DevOps

• Spearheaded development of this tool, delivering substantial cost savings of $1.5M/year reduction in expedited shipping costs and $10M/year decrease in operational delays due to untimely material deliveries.
• Extensively worked with stakeholders to grasp key requirements and existing workflows, ensuring organizational objectives.
• Defined project scope, assessed business value and quantified the cost of delay, steering development efforts towards impactful features.
• Created a product roadmap and prioritized product features by identifying MVP's to deliver immediate value.
• Collaborated with cross-functional teams to pinpoint critical datasets vital for product advancement.
• Guided a team of 4 developers through the development cycle offering clear requirements and instituting Scrum methodologies to promote collaboration, transparency and continuous improvement.

Project 2: Microphase Analysis Tool

Role: Data Engineer

Techstack: PySpark, SQL, Azure Delta Lakes & Databricks

• Developed a tool to understand the low hanging fruit for performance by automating existing manual micro-phasing effort. This saved $1.3M/year as workflow efficiency gains
• Established project scope based on user requirements
• Enabled efficient data pipelines to eliminate data dependencies.
• Created intuitive data visualizations to show complex data in a user-friendly readable format for non technical users.
• Performed UAT's to ensure product meets customer requirements and gather feedback for future enhancements.

Project 3: Bad Actor Recommendation

Role: Data Engineer

Techstack: PySpark, SQL, Azure Delta Lakes & Databricks, Spotfire

• Designed a complete end to end solution to automate the manual process of making recommendation for bad actor wells
• Re-designed the process of gathering data via excel files by implementing API data pulls from source databases
• Collaborated with operations and data teams to improve data quality and enable smooth data flow through different systems.
• Designed KPI's to track data quality.

• Certified Scrum Product Owner®, SCRUM ALLIANCE®
• TIBCO Spotfire® Certified Professionals