Mrunal Patil

Data Analyst with 3+ years uncovering what drives customer behavior and product performance, and translating it into decisions that operational and business leaders act on. I dig into complex problems with SQL, Python, and statistical and machine-learning analysis, then bring the findings to life through dashboards and storytelling that build confidence across technical and non-technical audiences. I am happiest partnering with stakeholders to define how success is measured and to turn ambiguous questions into clear recommendations.

Data Quality Engineer - Qualitest - Seattle, WA

(2026-04)

• Cut manual QA effort 45% by building a Python annotation workflow with an OpenAI agent that screens collector submissions against validation rules, auto-routing flagged entries to fail queues for review.
• Reduced collector video review time from 60 to 15 minutes by engineering an automated streaming pipeline for Meta Reality Labs in Python and Azure, embedding quality-check rules across all submission types.
• Partnered with cross-functional teams to integrate SharePoint into the automated pipeline workflow, enabling structured audit documentation, metric tracking, and traceability across all collector submission cycles.

Data Analyst - Ecoservant - Seattle, WA

(2025-07 - 2026-03)

• Presented Google Ads performance across 5+ campaigns to executive leadership via Looker Studio dashboards, driving budget reallocation across customer acquisition channels and a strategy realigned through hypothesis testing.
• Owned a KPI measurement framework spanning 3 digital channels and 10+ performance metrics, synthesizing them into category insights that guided budget reallocation and campaign prioritization across the organization.
• Produced 15 recurring reports from 500+ partner and funder records using SQL, surfacing engagement insights and recommendations that consistently shaped outreach priorities and program decisions for stakeholders.

Business Analytics Intern - Holland America Line - Seattle, WA

(2024-06 - 2024-08)

• Modeled cruise pricing with 3 regression algorithms on an 80/20 split using K-Fold CV (K=5), where XGBoost outperformed Linear Regression and Random Forest to achieve the strongest pricing forecast at R2=71%.
• Communicated the top 10 nationalities driving cruise revenue to senior management through Power BI storytelling, surfacing customer revenue patterns across demographic segments to inform pricing and promotion strategy.
• Queried and joined 5 Snowflake sources using optimized SQL to assemble an 80-feature revenue dataset, then preprocessed it end-to-end in Python to deliver a model-ready foundation for cruise pricing forecasting.

Software Data Engineer - Vivicta (formerly TietoEVRY Tech Services) - Pune, IN

(2022-06 - 2023-08)

• Developed 50+ ADF pipelines to orchestrate ETL workflows across SAP/ERP and REST API sources, releasing through Azure DevOps CI/CD to deliver consistent data to BI reporting layers for 20+ cross-functional teams.
• Decreased downstream data escalations by 30% by monitoring integration pipeline telemetry with Azure Monitor and Application Insights to troubleshoot team-side errors, ensuring uninterrupted delivery to all downstream consumers.
• Mentored 4 new joiners to independently contribute to ongoing project delivery, earning the Pat on the Back Award for exceptional technical dedication and consistent performance throughout the engagement.

Jr. Software Data Engineer - Vivicta (formerly TietoEVRY Tech Services) - Pune, IN

(2021-03 - 2022-05)

• Designed and built 140+ IIB message flows spanning 25 enterprise interfaces using ESQL and XPath transformations, enabling reliable enterprise data routing and seamless system connectivity for a leading Nordic retail platform.
• Assessed Azure as the strategic cloud platform for upcoming enterprise projects through Scrum calls and client discussions, earning AZ-900 certification and driving cloud integration delivery alongside IIB development.

Data Engineering Intern - D N Electricals - Pune, IN

(2020-08 - 2021-02)

• Generated 8 revenue flowcharts across product lines using Power BI, enabling data-driven decisions for sales teams.
• Oversaw 10+ office management workflows, improving operational accuracy and on-time delivery across departments.

Master of Science - Business Analytics - Seattle University (2023-09 - 2025-03)

Bachelor of Engineering - Instrumentation and Data Systems - Pune University (2016-08 - 2020-06)