Ananya Malhotra

Product Manager

Bengaluru, Karnataka, India1 yr 9 mos experience

Key Highlights

Delivered 35% efficiency gains through automation.
Improved driver compliance by 28% with alert systems.
Accelerated MVP delivery for telematics features.

Stackforce AI infers this person is a Product Analyst with expertise in SaaS and automation-driven growth.

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Skills

Core Skills

Product ManagementProduct AnalyticsData Analytics

Other Skills

SQLMongoDBAutomationPythonGoogle Apps ScriptData VisualizationPower BIData MigrationProduct AnalysisSiemens NXProduct RoadmapsProduct Data Management (PDM)Cohort AnalysisStatistical AnalysisGeofencing

About

Product Associate @ Cautio | Driving Efficiency with Data, Automation & Product InsightAt Cautio, I lead fleet analytics—building SQL/MongoDB pipelines powering dashboards for 1K+ vehicles daily. Delivered 35% efficiency gains through A/B testing and automation, and improved driver compliance by 28% with smarter alert systems.I connect data to product strategy: reduced downtime 25%, automated PostgreSQL/VBA workflows cutting data errors 40%, and scaled Python/n8n reporting to 70% automation. These insights accelerated MVP delivery for telematics features.I apply Product Management frameworks—Jobs-to-be-Done, experimentation, and roadmap design—running retention A/B tests that directly informed feature prioritization.🔍 Open to Product Analyst / Associate PM roles in Fleet Tech, SaaS, and Logistics (Hosur/Bengaluru/Chennai). Passionate about automation-driven growth and product transitions.📩 Let’s connect to explore opportunities or discuss how automation unlocks product-led growth!-malhotraananya1002@gmail.com

Experience

1 yr 9 mos

Total Experience

1 yr

Average Tenure

9 mos

Current Experience

Cautio

2 roles

Product Associate

Mar 2026 – Present · 2 mos · On-site

SQLMongoDBData AnalyticsAutomationProduct ManagementProduct Analytics

Product Analyst

Aug 2025 – Mar 2026 · 7 mos · On-site

Spearheading the end-to-end delivery of an automated invoicing and billing intelligence platform, generating 100+ invoices/month with customer segmentation and dynamic grouping.
Defined comprehensive product requirements, covering 20+ business edge cases and ensuring functional alignment with operations, finance, and engineering teams.
Led process automation using Python and Google Apps Script, integrating branded PDF generation and automated communication—reducing manual effort by 50%+ and improving SLA compliance.
Created a structured feedback-to-backlog framework, transforming user insights into prioritized product enhancements.
Built analytics reports and KPIs using SQL and product dashboards, enabling real-time performance tracking and issue detection.
Managed root-cause analysis, product testing, and feature optimization based on usage metrics and stakeholder feedback.
Key Impact: Improved invoice processing speed by ~60%, reduced error rate by 45%, and enhanced throughput via data-driven automation.

PythonGoogle Apps ScriptSQLData VisualizationMongoDBProduct Management+1

L&t technology services

Data Analyst

Aug 2024 – Aug 2025 · 1 yr · Pune District, Maharashtra, India · On-site

Owned data migration and transformation modules supporting an internal platform modernization initiative.
Partnered with Product Owners and Data Engineers to design automation workflows and data pipelines, improving analytical transparency and decision velocity.
Developed real-time dashboards and KPI visibility tools using Power BI & SQL, enhancing accuracy and time-to-insight.
Implemented data validation frameworks and ETL optimizations, improving pipeline reliability and report integrity.
Supported analytics-driven product decisions through Python-based A/B testing and user segmentation.
Key Impact: Increased data accuracy by 30% and cut analysis turnaround by 40%, enabling faster go-to-market insights.

Power BISQLPythonData MigrationData AnalyticsProduct Management

Siemens

Analyst

Jul 2023 – Jun 2024 · 11 mos

Assisted in enhancing data reliability and validation workflows for core backend systems.
Collaborated with product and engineering teams to define automation roadmaps, delivering 40% reduction in manual tasks.
Optimized SQL database queries for performance and scalability, supporting large-scale industrial data operations.
Participated in user journey mapping, data standardization, and process documentation for cross-product teams.
Key Impact: Strengthened data-to-decision loop by establishing robust validation systems and improving product reliability.

SQLData VisualizationProduct AnalysisData Analytics