Aashi Narula

Product Engineer

India6 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in AI-driven analytics and data solutions.
  • Proven track record at Google and Amazon.
  • Skilled in optimizing product strategies and decision-making.
Stackforce AI infers this person is a Data-Driven Analyst specializing in AI and Business Intelligence within the Tech industry.

Contact

Skills

Core Skills

AiData AnalysisProduct ManagementBusiness StrategyBusiness IntelligenceTechnical Support

Other Skills

AnalyticsSQLPythonA/B TestingDashboard DesignExcelAWSTechnical WritingLeadershipStrategyResearchProject ManagementArtificial Intelligence (AI)Business AnalysisData Visualization

About

Data-driven Engineering Analyst skilled in transforming complex data into actionable insights that drive product strategies and optimize decision-making. Proficient in Python, SQL, Tableau, machine learning, AI, and cloud solutions, with expertise in big data technologies and A/B testing. Demonstrated success in delivering scalable business solutions at top-tier companies like Google and Amazon.

Experience

6 yrs 9 mos
Total Experience
2 yrs 7 mos
Average Tenure
1 yr 7 mos
Current Experience

Google

Engineering Analyst 3 - Youtube Scaled Abuse

Oct 2024Present · 1 yr 7 mos

  • Identified key friction in analyst workflows and defined the roadmap for AI-powered analytics products, prioritizing use cases based on user pain points, adoption potential, and business impact.
  • Led end to end development of a natural language → SQL agent for YouTube datasets, reducing query creation time by ~70% and improving issue diagnosis speed by 2×.
  • Drove product decisions across model accuracy, latency, and usability, making trade-offs to ensure production readiness and a strong user experience. Utilized insights to iterate on features and improve overall product performance.
  • Established structured evaluation frameworks (few-shot benchmarking, accuracy tracking), increasing model reliability, and accelerating iteration cycles.
  • Aligned engineering, product, and operations stakeholders on roadmap and execution, driving delivery of scalable AI systems from concept to launch.
  • Led backlog prioritization and sprint planning, ensuring focus on the highest-impact features under evolving requirements.
  • Scaled adoption of Gemini AI tools across teams by designing and delivering enablement programs and documentation.
AIAnalyticsData AnalysisSQLPython

Zero to 1 product studio & tech lab

Founding Member

Jun 2024Oct 2024 · 4 mos

  • Defined product and growth strategy for early-stage clients, translating business goals into clear roadmaps and execution plans.
  • Identified key user drop-offs through funnel and cohort analysis, shaping product decisions that improved conversion and retention.
  • Designed and led experimentation strategy (A/B testing), driving up to 22% revenue growth within 3 months.
  • Prioritized product initiatives based on impact vs effort, accelerating feature rollout, and maximizing ROI.
  • Partnered with product, marketing, and leadership teams to launch data-driven features and growth initiatives
  • Launched referral and loyalty programs, driving ~15% net-new user growth within 6 weeks.
  • Presented insights and recommendations to founders, directly influencing product direction and GTM strategy.
A/B TestingData AnalysisBusiness StrategyAnalytics

Amazon

3 roles

Business Intelligence Engineer - II

Promoted

Jul 2022Jun 2024 · 1 yr 11 mos

  • Amazon Music- Consumer Product Team
  • Innovative Feature Rollouts:
  • Spearheaded dynamic features like Stories and Stage, revolutionizing music engagement and enhancing user experience. Oversaw seamless UI transition from 5% to full-scale implementation, driving marked user experience improvements. Leveraged
  • precise segmentation analysis in over 30 sub-experiments to increase user interaction and content consumption on Amazon Music.
  • Elevated App Interaction:
  • Refined the Product Customer Experience in the Amazon Music app, creating an intuitive, engaging interface. Established a robust customer experience framework, fostering increased retention and heightened satisfaction through seamless issue resolution. Conducted comprehensive music video catalog analysis, delivering invaluable recommendations for heightened revenue and
  • customer satisfaction.
  • Strategic Reviews and Automations:
  • Implemented Weekly Business Reviews (WBR) for profound visibility into Voice on Mobile platforms
  • and Customer Visual interactions. Engineered end-to-end automation, optimizing operational efficiency, and driving impactful product design
  • enhancements.
  • Revolutionized Dashboard Design:
  • Engineered dashboards distilling intricate business context into actionable insights, empowering agile,
  • informed decision-making.
  • Enhanced Data Integrity:
  • Collaborated seamlessly with SDEs, effecting a substantial enhancement in accuracy and integrity, fortifying our operational foundation.
Data AnalysisBusiness IntelligenceDashboard DesignSQL

Business Intelligence Engineer

Promoted

Mar 2020Jun 2022 · 2 yrs 3 mos

  • Partner Performance and Profitability: Modeled insights and defined metrics for ROI on each signup through customer acquisition partners.Re-designed signup offers, significantly reducing acquisition costs.
  • Strategies and Promotions: Optimized ad campaign analytics for effective audience targeting.Delivered feature POCs for cost reduction,resulting in increased signups, retention, and savings.
  • Process Streamlining and Performance Monitoring Systems: Designed KPIs and delivered 8 dashboards for business monitoring. Built automations (Python, SQL, Excel/VBA) saving approx 1000 hours annually for Financial Analysts.
  • Acting SCRUM Master for Music Finance Analytics: Facilitated sprint planning for 5 BIEs and 15+ stakeholders across 5 countries. Organized retrospective meetings and managed product backlog, ensuring leadership visibility.
  • Engineered comprehensive business solutions, enabling data-driven analysis for informed decisions in product, operations, and marketing,
  • leading to substantial cost savings.
  • Devised innovative strategies and promotions for refined audience targeting and peak performance.
  • Advocated for software feature expansions, driving further cost efficiencies.
  • Spearheaded process optimization and automated Finance reporting, reducing over 1000 hours of manual effort.
  • Finance BIE POC: Specialized in cost savings and partner performance, serving as the sole POC for the team.Received multiple leadership appreciations for business reviews and root cause analysis.
Data AnalysisSQLPythonExcelBusiness Intelligence

Developer and Mobile Services : CSA

Jul 2019Mar 2020 · 8 mos

  • Provided consultation services to engineer technical architectural solutions as per customer use-case and resolved issues for various business customers of AWS. Achieved desired technical infrastructure for 7+ businesses and led to resolve 100+ issues with optimal solutions.
  • Wrote 5 tutorials and technical articles for the AWS customer community on designing data analysis workflows using aws services. It is used by internal engineers and had 500+ views in 2020.
  • Attained AWS Solutions Architect Associate certification to design cost-efficient, fault-tolerant, and scalable distributed systems on AWS.
AWSTechnical WritingData AnalysisTechnical Support

Oyo

Business Analyst Intern

Apr 2019Jun 2019 · 2 mos · Gurgaon, Haryana, India

  • Multinational hospitality chain(now global) of leased and franchised hotels, homes and living spaces. I worked in the Offline & Online User Acquisition and Partnerships & Strategic alliances domain.
  • 1. Enabled business visibility on conversion rate by customer segments to drive focus on segments with better conversion rates. Launched campaigns specific for these segments to increase segment conversion.
  • 2. Enabled visibility into the progress and RoI for various campaigns to understand performance and profitability.

Cdac,noida

Summer Intern

Jun 2018Jul 2018 · 1 mo · Noida Area, India

Csr exchange

Research and Data Mining intern

Dec 2017Jan 2018 · 1 mo · New Delhi Area, India

  • As the Research and Data Mining Intern, I was responsible for studying the company databases and creating insights to analyze the compliance to SEBI norms and report them to my superiors.

Indian oil corporation limited

Summer Intern

May 2017Jul 2017 · 2 mos · New Delhi Area, India

Harvard project for asian and international relations (hpair)

Delegate

Feb 2017Feb 2017 · 0 mo · Boston, Massachusetts

  • Harvard University USA: As an international delegate, worked with multi national teams in competitive case study competition and proposed potential solutions to a few Asia-specific problems.

Education

Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

Delhi Public School Vasant Kunj

Jan 2001Jan 2015

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