Chandana Nagandla

Product Manager

San Francisco, California, United States8 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led AI-driven sales productivity initiatives at Google.
Managed $1T+ trading solutions at JPMorgan Chase.
Developed innovative e-commerce platforms enhancing user engagement.

Stackforce AI infers this person is a Fintech and E-commerce Product Manager with strong AI and data science expertise.

Contact

chandana1808@gmail.com LinkedIn

Skills

Core Skills

Product ManagementProduct StrategyArtificial Intelligence (ai)Pricing StrategyE-commerce OptimizationUser Experience (ux)Software DevelopmentCustomer Engagement

Other Skills

Algorithm DesignAlgorithmsAmazon Web Services (AWS)Computer VisionCorporate FinanceCross-Functional Leadership.Cross-functional CoordinationCross-functional Team LeadershipCustomer AnalyticsCustomer InsightData AnalysisData ScienceData StructuresData-driven Decision MakingE-Commerce

Experience

Google

2 roles

Product Manager at Google Wallet

Jan 2024 – Present · 2 yrs 2 mos

Product DevelopmentUser ResearchData ScienceData AnalysisProduct ManagementProduct Strategy

Ads Strategy & Data Science

Jul 2022 – Present · 3 yrs 8 mos

Led creation of GenAI and ML-powered sales quota-setting infrastructure, delivering precise sales targets and accurate revenue attribution to drive sales productivity and revenue growth for SMB customers.
Built scalable ML frameworks to assess customer lifetime value and sales program ROI, providing leadership with actionable insights to optimize investments and prioritize high-impact customer segments.

Artificial Intelligence (AI)Product StrategyProduct ManagementPredictive ModelingPredictive AnalyticsCross-Functional Leadership.+4

Jpmorgan chase & co.

Product Manager

Apr 2019 – May 2021 · 2 yrs 1 mo · Mumbai Metropolitan Region

Led product initiatives for trading solutions of Equity & Credit Derivatives managing $1T+ in annual volume partnering with quants, engineering, traders & sales
Developed and launched pricing models for multiple structured products in Equity & Credit Derivatives space

Software Product ManagementPricing StrategyMachine LearningArtificial Intelligence (AI)Data ScienceProduct Strategy+5

American express

Summer Intern

Apr 2018 – May 2018 · 1 mo · Gurugram, Haryana, India

Sears holdings corporation

Senior Software Engineer

Feb 2016 – Jun 2017 · 1 yr 4 mos · Bangalore

Led team of engineers to create e-commerce platform and shopping app. Improved user engagement and order conversions by search engine optimization, streamlining delivery routes, and enhancing order fulfillment and leveraged real-time data for tailored promotions to improve user retention.
Engineered a robust analytics app to empower senior leadership with actionable business insights.

Team LeadershipCross-functional CoordinationSearch Engine Optimization (SEO)User Experience (UX)E-commerce OptimizationArtificial Intelligence (AI)+3

Whishworks

Software Engineer

May 2015 – Feb 2016 · 9 mos · Hyderabad, Telangana, India · On-site

Developed a cutting-edge end to end lost phone service for a leading mobile brand enabling real-time location tracking, locking, and data wiping, while drastically improving performance and response times.
Developed an innovative connector linking Estimote beacons with Mulesoft via Google Beacon Platform, enhancing contextual awareness and boosting customer engagement through personalized recommendations, tailored offers and seamless shopping experiences.

E-CommerceCustomer EngagementArtificial Intelligence (AI)Algorithm DesignPythonObject Detection+3

Gwynnie bee

Software Engineer

Jul 2014 – May 2015 · 10 mos · Greater Bengaluru Area

Architected a high-performance search backend, streamlining data retrieval and API integration to deliver a seamless search experience for Gwynnie Bee e-commerce platform.
Developed a customer trust score system with asynchronous processing and RESTful APIs. Leveraged machine learning to offer personalized incentives, significantly reducing churn rates and improving customer retention. Optimized incentive costs through data-driven innovation.

Search Engine Optimization (SEO)E-CommerceJavaCustomer AnalyticsMachine LearningArtificial Intelligence (AI)+6