Pavan Nanjundaiah

VP of Engineering

Bengaluru, Karnataka, India21 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led a 500+ member AI organization.
Scaled Innovation Org to 100+ engineers.
Recognized as a 40 under 40 Data Scientist.

Stackforce AI infers this person is a Data Engineering and AI expert with extensive experience in enterprise solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Data EngineeringGenerative Ai For LeadershipDigital TransformationData ScienceData Management

Other Skills

AWSAgile MethodologiesAnalytical SkillsAnalyticsBig DataBusiness Growth StrategiesBusiness IntelligenceBusiness StrategyCloud ComputingData AnalyticsData IntegrationData Warehouse ArchitectureDeep LearningETLEnterprise Architecture

Experience

Tredence inc.

2 roles

Vice President & Head - AI

Oct 2025 – Present · 5 mos

Heading a 500+ member AI Org and solving Enterprise business problems for customers across Retail, CPG, BFSI, HLS and Hospitality industries
Responsibilities include scaling Tredence AI Org, architecting GenAI solutions, scaling AI business at Tredence and helping clients to build their AI roadmap

Data EngineeringArtificial Intelligence (AI)Cloud Computing

Vice President & Head - Innovation

Nov 2023 – Present · 2 yrs 4 mos

Heading Tredence's Innovation Org (Studio) and building transformative products at the intersection of GenAI/Data Science, Data Engineering and Full Stack Engineering
Scaled the Innovation Org to 100+ Engineers with diverse profiles like AI Engineers, Data Scientists, Data Engineers, Full Stack Engineers, Product Managers and UI/UX Designers. This team has built Enterprise grade Agentic AI solutions in Retail, CPG, Healthcare, Banking/Financials domains by collaborating with Business teams and has delivered measurable Business impact
Responsibilities also include owning a multi million dollar P&L, sharing thought leadership on latest technology trends in conferences, acting as a coach and subject matter expert to Customers and actively working with Analysts/Channel Partners like Databricks, Snowflake & Google Cloud
Prior experience also includes scaling Software Engineering & Analytics teams in startups, managing projects for Fortune 100 clients and playing the role of an Enterprise Architect
I am a Microsoft Azure Certified AI Engineer and was also recognized as 40 under 40 Data Scientist

Generative AI for LeadershipArtificial Intelligence (AI)Digital TransformationGoogle Cloud Platform

Quince

Vice President - Data Science, Data Engineering, Data Analytics & Marketing Analytics

May 2022 – Oct 2023 · 1 yr 5 mos

Scaling an Engineering team in a fast growing Product Startup is not easy! I scaled and managed the Data Science, Data Engineering, Data Analytics and Marketing Analytics team to create a positive impact on Quince’s Revenue
Played a key role in building the central Data Platform and setting up Data Governance policies to streamline Corporate reporting
Contributions of my Data Science team were instrumental in increasing the website traffic through smart Product recommendations, curated A/B tests, identifying audience for prospecting/re-targeting and improving customer services through sentiment analysis
Marketing spend is one of the biggest cost line item for an e-commerce company. I partnered closely with the Meta and Google Engineering teams to customize Conversion API and Ads API, built a custom solution to gain full visibility on campaign performance and feed custom audience inputs to the campaigns ultimately resulting in significant improvement in ROAS (Return on AdSpend) and reduction in CAC (Customer Acquisition Cost)

Data ManagementData ScienceData IntegrationProduct Marketing

Tredence inc.

3 roles

Senior Director - Innovation (Aug 2020 - April 2022)

Promoted

Aug 2020 – Apr 2022 · 1 yr 8 mos

Solved Enterprise business problems like Product Recommendations, Customer Journey Analytics, ML model lifecycle management, Data Quality, Data Harmonization and Data Governance for Retail and CPG customers using these re-usable assets
Scaled a high performing Engineering team from 1 to 50+ in less than 2 years

Director - Innovation

Jan 2019 – Jul 2020 · 1 yr 6 mos

Founding member of Tredence Innovation Studio team with the intent of creating cutting edge and re-usable code assets that could be used across client implementations in the space of Data Science and Data Engineering
Mandate was to build re-usable assets (Accelerators) at the intersection of Business use case, Functional/Domain expertise and cutting edge Technology solutions. These assets should ultimately help in selling and delivering projects better

Senior Manager - Data Engineering & Data Science

Oct 2017 – Dec 2018 · 1 yr 2 mos

Built and scaled a team of Data Engineers and Data Scientists to successfully deliver large data transformation projects for Fortune 500 customers like Cisco, Ecolab, Unilever etc. on cloud platforms like Microsoft Azure, Google Cloud Platform and AWS

Data ManagementData EngineeringData ScienceData AnalyticsCloud Computing