Preethika Chilakala

About Preethika Chilakala

I’m a Business Analyst and BI professional with a proven track record of turning complex data into clear strategies, actionable insights, and measurable business outcomes. My expertise lies at the intersection of business strategy, analytics, and technology—helping organizations make smarter, faster, and more data-driven decisions. At Doublene, I automated enterprise reporting solutions (SQL, VBA, Tableau/Power BI) that cut manual effort by 40%, optimized workforce forecasting models to boost accuracy by 18%, and delivered insights that reduced operational costs by 12%. At Techecy, I partnered with cross-functional leaders to design insurance pricing and rating tools, drove a 20% faster go-live cycle, and streamlined UAT processes to cut policy rework by 15%.I excel at bridging the gap between business stakeholders and technical teams, ensuring that analytics solutions align with real business needs. Whether it’s building BI dashboards for executives, optimizing forecasting models, or translating actuarial insights into strategy, I thrive on solving problems with data. What I bring:Business Analysis & Strategy: Requirements gathering, stakeholder alignment, Agile delivery, UATBI & Analytics: SQL, Tableau, Power BI, Looker, ETL, data integrity controls, forecasting & statistical modelsDomain Expertise: Insurance pricing & rating tools, actuarial collaboration, policy optimizationCollaboration & Leadership: Cross-functional teamwork, executive presentations, vendor negotiationsI’m passionate about leveraging data and analytics to drive growth, efficiency, and innovation—and I’m always eager to tackle new challenges where business meets technology.

Experience

1. Business Analyst

   Doublene Technology LLC

   Jan 2025 — Present · Austin, TX, US

   Designed and automated reporting solutions using SQL, VBA, and Tableau/Power BI, reducing manual reportingtime by 40% and enabling leadership to make faster, data-driven decisions.• Bridged communication between business stakeholders and technical teams to translate requirements intoactionable reporting and analytics, ensuring alignment between business objectives and data solutions.• Optimized workforce forecasting models (EWFM, IEX, Aspect) through advanced statistical analysis and regressiontechniques, improving forecast accuracy by 18% and enhancing resource allocation efficiency.• Processed and analyzed multi-million–row datasets from SQL, Oracle, and Kibana to uncover performance gaps,delivering insights that improved operational efficiency and reduced costs by 12%.• Partnered with cross-functional teams to define business requirements, implement data integrity controls, andresolve discrepancies, increasing report accuracy and stakeholder trust by 30%.

Education

• UMass Boston

  Master of Science - MS

  2024 — 2025

• Vellore Institute of Technology

  Master of Technology - MTech

  2018 — 2023