Monalisa P.
Data Analyst | Trust & Safety @ Google | 3+ Years | Ex-Accenture
- Role
- Data Analytics Apprentice at Google
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Monalisa P.
Data Analyst | Building Data Pipelines & Dashboards That Drive ImpactHi! I\'m a data analyst with 3+ years of experience transforming raw data into actionable insights that move the needle on business outcomes. Currently at Google working in Trust & Safety, where I focus on data-driven solutions for complex operational challenges. What I Do: Design and build SQL/Python data pipelines processing users Create executive dashboards and KPI reporting systems for multi-level stakeholders Automate repetitive workflows (reduced manual effort by 92% in my last project) Model complex datasets for performance analysis and forecasting Partner cross-functionally to translate business needs into data solutions Impact I Drive- Reduced operational costs by 19.76% through SQL-driven forecasting accuracy analysis- Automated 92% of manual workflows, reclaiming 260+ hours annually- Built data pipelines serving agents across multiple suppliers & locations- Increased test coverage by 40% through data-driven automation frameworks- Improved query efficiency by 30% using optimized ETL processes Technical Toolkit:SQL (PostgreSQL, MySQL)| Python (Pandas, NumPy)| Google AppScript | Tableau | Power BIData Modeling | Pipeline Development | KPI Reporting | EDA | Automation Continuous Learning:Google Advanced Data Analytics Certification (2026)Google AI Essentials (2025)Google Data Analytics Professional Certificate (2024)🤝 Let\'s Connect If You\'re:→ Hiring for Data Analyst / Analytics roles (full-time)→ Building data infrastructure at scale→ Looking for someone who combines technical depth with business acumenCurrently open to opportunities in Analytics, Business Intelligence, or Data Engineering. Open to remote/relocation. Let\'s talk!
Experience
Data Analytics Apprentice
Jul 2024 — Present
Reduced operational costs by 19.76% by creating a SQL-driven forecast accuracy and readiness dashboard covering 18 product areas and pilot production operations- Built end-to-end Python and SQL data pipeline processing survey responses from agents across 8 suppliers, 21 locations—transformed qualitative feedback into actionable 5-point KPI scoring model for multi-level reporting- Led data extraction and modeling for Alphabet-level JFG Next migration, identifying system bugs and standardizing 100+ access groups per security protocols- Engineered centralized SQL + Google AppScript headcount dashboard across 10 suppliers, establishing single source of truth and standardizing cross-supplier reporting- Automated 92% of manual Rewards & Recognition workflow using SQL + Google AppScript, saving 260+ hours annually and reducing human error- Developed Gemini-powered RAG prototype using SQL-extracted data, validated ability to resolve recurring queries and streamline escalation paths
Education
ST MIRA'S COLLEGE FOR GIRLS PUNE
Bachelor's degree, computer applications
2019 — 2022
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