Krishnendu Jana

Operations Associate

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Executed 15+ campaigns monthly with data-driven strategies.
Achieved significant traffic and sales growth at Flipkart.
Developed AI tools to automate merchandising processes.

Stackforce AI infers this person is a B2C E-Commerce specialist with a focus on merchandising and data-driven marketing strategies.

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Skills

Core Skills

In-app MerchandisingData AnalysisAutomationMerchandising StrategySite MerchandisingCampaign ExecutionUser Experience Improvement

Other Skills

Catalouge StrategySQLMixpanelExcelClaude AIProduct ListingsFestival CampaignsUser Intent AnalysisMerchandisingProgram ManagementPythonPower BITraffic AnalysisSales GrowthAdobe Analytics

About

Spencer’s Retail, Assistant Manager, Site Merchandiser • Own end-to-end in-app merchandising strategy across homepage cards, time-of-day placements, festive campaigns, and high-intent category discovery, executing 15+ campaigns/ month across BAU and special events. • Lead festival-first merchandising for major events (Holi, Ramzan, Christmas, New Year, IPL, etc.), aligning assortment, creatives, and messaging to user intent. • Own brand monetisation initiatives, partnering with national and premium brands to build sponsored pages, featured assortments, and performance-backed proposals. • Drive data-led decision making using SQL, Mixpanel, and Excel to analyse funnels, CTR, ATC, conversion, retention, and cohort performance. • Build AI-driven automation tools using Claude AI to generate product listings and store widget plans, cutting manual effort by ~70% and enabling same-day campaign launches. • Lead A/ B testing on widgets and creatives, identifying high-performing layouts that lift homepage CTR; conduct competitor benchmarking (Blinkit, Zepto, Instamart) to sharpen category placement. • Collaborate with CRM and Category teams for offer alignment; manage a team of 2 designers ensuring on-time creative delivery.

Experience

2 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

7 mos

Current Experience

Spencer's retail

Assistant Manager

Nov 2025 – Present · 7 mos · Kolkata, West Bengal, India · On-site

Driving in-app merchandising and growth for Jiffy (Spencer's quick-commerce app) — blending campaign execution, funnel analytics,
and AI-powered automation.
Own end-to-end in-app merchandising across homepage cards, time-of-day placements, festive campaigns, and category discovery —
executing 15+ campaigns/month.
Lead festival-first merchandising for Holi, Ramzan, Diwali, Christmas, New Year & IPL, aligning assortment, creatives, and
messaging to user intent.
Drive data-led decisions using SQL, ClickHouse, Mixpanel & Excel to analyse funnels, CTR, ATC, conversion, retention, and cohort
performance.
Built AI-driven automation tools using Claude AI to generate product listings and store widget plans — cutting manual effort ~70%
and enabling same-day launches.
Led funnel analysis of 302K users across Mixpanel, AppsFlyer & ClickHouse, surfacing key drop-offs (72% login-wall, 60% address,
33% cart-to-payment) that shaped product/UX fixes.
Built channel ROI model across 6 acquisition sources, identifying WhatsApp as highest-retention (45% repeat vs 24% Meta) to guide
marketing spend.
Own brand monetisation — partnering with national & premium brands on sponsored pages, featured assortments, and
performance-backed proposals.
Run A/B tests on widgets and creatives to lift homepage CTR; benchmark Blinkit, Zepto & Instamart to sharpen category placement.
Collaborate with CRM, Category, Design, Tech & Supply teams; manage 2 designers ensuring on-time, on-brand creative delivery.

In-App MerchandisingCatalouge StrategySQLMixpanelExcelData Analysis

Flipkart

Team Lead

Aug 2023 – Nov 2025 · 2 yrs 3 mos · Banglore · On-site

Led site merchandising and campaign execution across high-traffic homepage and category pages, driving discovery, engagement, and
revenue for one of India's largest e-commerce platforms.
Owned merchandising strategy and execution across store pages, product displays, and site-wide promotions — delivering a 17.5%
lift in traffic and 12% growth in sales.
Optimised banner placements, content modules, and page layouts through data-driven A/B testing, driving a 12% increase in
revenue.
Launched targeted promotions and new product campaigns that lifted AOV by 11% and improved end-to-end conversion rates.
Built automated reports and dashboards using SQL, Python & Power BI, enabling real-time visibility into CTR, conversion, and
campaign ROI for faster merchandising decisions.
Analysed user behaviour and journey funnels via Adobe Analytics, surfacing drop-off insights that shaped UX improvements and
lifted page views per session by 14%.
Partnered with Category, Creative, Catalogue & Marketing teams to deliver brand-consistent launches for marquee events including
Big Billion Day and Republic Day Sale.