Nachiappan Palaniappan

Operations Associate

Bengaluru, Karnataka, India14 yrs 3 mos experience
Highly Stable

Key Highlights

  • 14 years of experience in e-commerce growth and analytics.
  • Expert in architecting agentic AI systems for commerce.
  • Proven track record of driving revenue growth through data analysis.
Stackforce AI infers this person is a data-driven leader in E-Commerce and AI analytics.

Contact

Skills

Core Skills

Quantitative AnalyticsGrowth HackingMachine LearningData ArchitectureBusiness AnalysisProject Delivery

Other Skills

Business InsightsCampaign EffectivenessExploratory Data AnalysisE-CommerceProblem SolvingLeadershipStatisticsA/B TestingMultivariate TestingMultivariate AnalysisMultitaskingSkilled Multi-taskerStrategyLinear ModelsStatistical Analysis

About

With 14 years across e-commerce growth, analytics, and AI systems, I help platforms scale by turning customer journeys into intelligent, repeatable engines of growth. At Nykaa, I lead charters across Beauty & Fashion, combining Category Growth and Agentic AI: 🚀 Category Growth (Fashion) Driving topline by analyzing supply hygiene, pricing effectiveness, discount elasticity, and feed curation. Built brand/category scorecards, optimized visibility for high-performing SKUs, and contributed to ~5% revenue growth. 🚀 Agentic AI for Root Cause Analysis (RCA) Built a multi-agent reasoning framework that doesn’t just flag what changed but works through why it changed — breaking down product, customer, category and funnel shifts into a deterministic, explainable storyline. 🔹 How it works Decomposition across base, mix, and integration effects for a structured view of impact. Efficient data architecture that keeps agents grounded, avoids hallucination, and ensures smooth data access. Cross-agent evaluation to validate results and enable a waterfall view of impact across customers, products, categories, and marketing levers. True multi-agent design where agents rerun diagnostics, localize analysis, and even prototype code, mirroring the workflow of human analysts. Episodic memory (WIP) using a RAG layer to retain past RCA outcomes for greater continuity and predictability. 🔹 Why it matters Reduced RCA turnaround from days → near real-time. Improved decision velocity for campaigns, pricing, and supply interventions. Delivered structured narratives that executives can act on — bridging analyst depth with leadership clarity. 🚀 Dynamic Reward & Elasticity Engines: Balancing rewards, discounts, and conversion drivers with measurable revenue uplift. 🚀 Additional Growth Engines: Dynamic reward/elasticity models, Shaping Nykaa Play, scaling NAP and user journey mapping (“Steppification”) boost retention and category attachment. Previously, at Flipkart and LatentView, I focused on NLP, clustering, and topic extraction. I now mentor teams and publish on advanced agentic systems, reinforcement learning, and scalable analytics for commerce.

Experience

14 yrs 3 mos
Total Experience
3 yrs
Average Tenure
2 yrs 1 mo
Current Experience

Nykaa

Senior Manager Analytics

Apr 2024 – Present · 2 yrs 1 mo · India

Quantitative AnalyticsGrowth HackingBusiness InsightsBusiness AnalysisCampaign EffectivenessExploratory Data Analysis+17

Amazon

Business Intelligence Engineer III

Sep 2021 – Apr 2024 · 2 yrs 7 mos

  • Drove the growth and adoption of Amazon Payment Products in Europe!
Quantitative AnalyticsGrowth HackingBusiness InsightsBusiness AnalysisCampaign EffectivenessExploratory Data Analysis+18

Flipkart

2 roles

Analytics Manager

Apr 2021 – Sep 2021 · 5 mos · Bengaluru, Karnataka, India

Quantitative AnalyticsGrowth HackingBusiness InsightsBusiness AnalysisCampaign EffectivenessExploratory Data Analysis+20

Lead Business Analyst

Mar 2018 – Apr 2021 · 3 yrs 1 mo · Bengaluru, Karnataka, India

Quantitative AnalyticsGrowth HackingBusiness InsightsBusiness AnalysisCampaign EffectivenessExploratory Data Analysis+19

Latentview analytics

3 roles

Assistant Manager - Technical

Promoted

Oct 2016 – Feb 2018 · 1 yr 4 mos

  • My day to day work falls under the following areas
  • 1. Text Mining (Stanford NLP, NLTK Parser)
  • 2. Business Analyst at leading internet giant
  • 2. Development of Analytics solutions (in Python or Java, based on the requirements)
  • 3. Social Media Analysis - Influencer Analysis, Analysing Social Media Campaign effectiveness (Python packages -> NetworkX, Pandas, Scipy, Scikit-learn, Numpy)
  • 4. Campaign Analytics (Python)
  • 5. Statistical Classification (R Programming)
Quantitative AnalyticsBusiness InsightsBusiness AnalysisExploratory Data AnalysisProject DeliveryStatistics+8

Senior Analyst

Promoted

Mar 2015 – Sep 2016 · 1 yr 6 mos

Quantitative AnalyticsBusiness AnalysisExploratory Data AnalysisDashboardsProject DeliveryStatistics+9

Analyst

Mar 2014 – Feb 2015 · 11 mos

Business AnalysisDashboardsProject DeliveryStatisticsMultivariate AnalysisMultitasking+4

Indian institute of management, calcutta

Guest Lecturer

Jun 2016 – Jun 2016 · 0 mo · Greater Kolkata Area

  • Conducted a 2 days guest lecture on Text Mining and Social Media Analytics for PGDBA students at Indian Institute of Management, Calfuttat

Infosys

Senior System Engineer

Oct 2011 – Feb 2014 · 2 yrs 4 mos · India

  • Worked in a reengineering project, where my responsibility includes reengineering SAS codes & DB2 queries into equivalent COBOL logic & SQL Server queries. It also includes performing BI operations using DMExpress tool and managing Message Queues.
Project DeliveryMultitasking

Education

KCG College of Technology

Bachelor of Engineering (BE) — Computer Science

Jan 2007 – Jan 2011

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