---
title: "Ravi Kishan Jha - Analytics Manager - ( LTIF Valmo F&E) in Bengaluru | Tal"
description: "Meet Ravi Kishan Jha, Analytics & Strategy at Meesho | Ex Zepto - GoTo - Google - Swiggy - Amex - Capillary | Data Storyteller based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including rkj-portfolil.vercel.app."
image: "https://tal.club/meet/ravi-jha/share-image"
---

# Ravi Kishan Jha on Tal

## Headline

Analytics & Strategy at Meesho \| Ex Zepto \- GoTo \- Google \- Swiggy \- Amex \- Capillary \| Data Storyteller

## About

tl/dr: " I can make the data talk as you want or tell you what you need to know \- ask the question, let the data answer\." I’m an Analytics Manager with 8\+ years of hands\-on experience turning data into decisions across Business Finance, Supply Chain, Product, Category, Digital and Consumer Analytics\. I’ve worked across retail, digital/clickstream and product analytics, partnering with business and product teams to solve complex problems, uncover opportunities and drive business\-critical and growth initiatives\. My sweet spot is where business problems, data and technology intersect\. I enjoy taking an ambiguous problem, finding the signal in the noise, building the right analytical framework and turning it into something teams can actually use\. I’ve worked with organisations including Google, Zepto, Meesho, Swiggy, American Express and GoJek, building analytical solutions across large\-scale data environments and working closely with business, product, engineering and data science teams\. Technically, I’m hands\-on across SQL, Python, PySpark, GoogleSQL, Databricks, BigQuery, Snowflake, Redshift, Hive, Yellowbrick, Tableau, MicroStrategy, Power BI, Adobe Analytics, Google Analytics, Omniture, Sisense, Metabase, Redash and Qubole/Zeppelin\. I’m equally comfortable working with the underlying data architecture, analytical layer or the final decision\-making interface\. More recently, I’ve been exploring Agentic AI for Analytics, including Agent, Workflow and ReAct architectures, with a focus on turning AI from a generic assistant into a domain\-aware analytical system\. This includes grounding agents on proprietary data and business knowledge, building directed vector RAGs, and developing AI\-powered query\-writing and analytics capabilities within BI platforms\. I like building things that make analytics faster, smarter and more scalable\. And I still believe the best analytics product is one that makes the business ask a better question after seeing the answer\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

gemini

hugging face

## Work experience

Analytics Manager \- \( LTIF Valmo F&E\) at Meesho, Jan 2026 \- Present · 10 mos, Bengaluru, • Lead a team of 8 Analysts & external MIS Executives across 7–8 Business Finance micro\-PODs, driving analytics, cost governance, forecasting and decision support for Valmo Fulfillment & Experience operations\. • Partner with Business Finance, Product, Operations, Pricing and Tech to build and scale the network Allocation Engine, improving order allocation, coverage, CPS, capacity utilisation and ground\-level delivery cost accuracy\. • Own logistics cost intelligence by unbundling rate cards to Pin × Polygon × Lane level, building fallback logic for new/missed geographies and ensuring Cost × Pricing alignment across the network\. • Drive Line Haul analytics and optimisation, contributing to TSP\-Sweeper based vehicle/route design improvements, RLH vehicle utilisation, TMS scaling, RFQ adherence across NLH/RLH and GTA cost optimisation\. • Build Cost × Revenue profitability bridges and forward\-looking provisions, enabling Business Finance to identify CPS opportunities, assess operational impact and improve network\-level P&L visibility\. • Lead weekly tracking of 3P and in\-house logistics forecasts, actuals, Kaizen initiatives, disputes, claims and losses, with structured RCA and impact assessment for cost and P&L governance\. • Support BHAG and strategic Business Finance initiatives through funded\-initiative tracking, opportunity assessment, actionability frameworks and monitoring of cost\-impacting fund/refund programs\. • Drive Agentic AI and Databricks Genie adoption for automated reporting, RCA, knowledge discovery, SQL generation and financial analytics, reducing manual effort and improving speed of decision\-making\.

Analytics Manager \- BI & Data Products \{AD\} at Zepto, Dec 2024 \- Jan 2026 · 1 yr 2 mos, On\-site, • Owned Zepto’s central BI platform as Platform Owner, Data Custodian and SME, managing 150\+ dashboards/datasets serving 3,000\+ users across Supply Chain, Product, Business, Strategy, Finance and Cafe\. • Scaled BI platform capacity from \~10 concurrent dashboards to 300\+ dashboards running simultaneously, supporting 1,000\+ concurrent users through workload optimisation and platform architecture improvements\. • Enabled controlled self\-service analytics across city managers and business teams through RLS\-based access control groups, providing granular data access while maintaining centralised governance\. • Optimised BI data architecture using a Hot\-Cold\-Warm data strategy, extending reporting windows from 7 to 60\+ days across 20 datasets while reducing model size and enabling deeper historical analysis for Finance and Operations\. • Led onboarding of 100\+ datasets into Alan, Zepto’s query\-writing platform, enabling self\-service SQL through a templatized RAG\-based data catalogue and vector database architecture for fast retrieval of table, column and metric context, in collaboration with the in\-house Data Science team\. • Drove Agentic AI transformation across analytics, building POCs with multiple third\-party tools and in\-house approaches to benchmark query generation, retrieval, RCA and workflow capabilities, informing technology selection and scalable adoption\. • Led MVPs for ReAct and workflow\-based AI agents across business\-specific use cases, successfully progressing the query automation initiative through Phase 2\. • Scaled executive analytics to sub\-order level reporting across Finance and Operations, enabling granular C\-suite, executive and city\-level visibility while maintaining platform performance\. • Led a team of Analysts and BI Admins across 7\+ business verticals, developing POD\-level Data Custodians and enabling distributed ownership of BI assets, reporting and platform operations\.

Analytics Lead \- \( Subs / GoFood / SDF / Mart\) at GoTo Group, Sep 2023 \- Dec 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Worked initially as Sr\. IC analyst for all the GoFood & GoFood\+ Business growth related initiatives at GoJek\. Primary KR is to support Business and Product Leadership with Adoption and Retention of GoFood\+ Subscription \( launched to improve loyalty and stickiness\)\. Helped Business in re\-designing Subscription offering and Pricing Flexibility on Contribution Margin, Free Delivery to Flat 12K discount, merging Handling and delivery fees to enhance CMPU and accurately identify RPL etc\. Collaborated with Product , Marketing and Strategy Leads to optimise experimentation, user experience and customer adoption for GF\+ across Indonesia and Vietnam\. Helped automate tracking, monitoring of key metrics, campaign results for seamless reporting and quick turn\-around to drive changes if needed\. Migrated to Central Business Analytics to assist Business stakeholders in creating ODS \( all GoJek services\) subscription\. Main KR is collaborate with Business Leadership on subscription design \(involving package instrumentation, design, Instrument different test experiment versions to understand user adoption & behaviour to offerings, optimize and launch final subscription brand in Indonesia\)\. Scaled GoJek Plus Subscribers around Indonesia to a 10x growth and over 1\.5 Mn subscribers in record time through faster data delivery and active launches and experimentation initiatives\. \( Countrywide launch date: May 2024, reached 1\.5 Mn in Dec'24 \)

Strategist \- Trust & Safety \( Ads \) at Google, Dec 2021 \- May 2023 · 1 yr 6 mos, Hyderabad, Telangana, India, Work involved in devising enforcement strategies to contain abuse under the Ads universe, Contributing in making the ads space safe and user\-friendly\. Subject Matter Expert for Identification and Enforcement of Phishing cases on Google Ads\. Primary KR is to monitor Phishing Abuse happening on Google Ads across the globe, identify gaps in enforcement leading to user escalations/ advertiser's loss , which would lead to collaborating with Data Science and Legal teams to upgrade or build enforcement models and strategies\. Collaborated with data science teams to expand Phishing monitoring by developing abuse detection models, content moderation filters and additional pipelines from social media and third\-party data platforms\. Involved in end to end design of model workflows, input varibles and feature selection, testing, validation and monitoring trends\. Launched Project " Baitball" \- i\.e, Automated brand Query Ad Restriction models for Financial and Crypto ads across Globe, using Python and SQL scripts\. Achieved a 40x increase in certified brands\. Covered 8K brands globally, resulting in new certification checks for 100K\+ advertisers daily with monthly ad spends of over $5Mn\. funfact: Baitball is a technique used by smaller fishes to save themselves from external attacks, a reference to how smaller finance and crypto brands can be saved from phishing \(phi;fi \)by combining them together and saving them as one\. Enhanced Ads Phishing identification process by redesigning preexisting decision matrix with newer abuse signals and categorization, this helped in an 45% reduction in review time, along with 10x reduction in gray area escalations\.

Business Analyst \- Gourmet \( New Initiatives \) at Swiggy, Apr 2021 \- Dec 2021 · 9 mos, Bangalore Urban, Karnataka, India, \- Worked as primary liaison for multiple stakeholders ranging from product, merchandising, operations to ensure growth, revenue, planning through data driven insights for Gourmet category across V1 cities \( Tier 1\)\. Built business reporting and performance dashboards from scratch after analyzing product clickstream and transaction data to identify gourmet brands\. Active data analysis on all the operations and marketing campaigns to generate focus areas and improvement metrics\. Automated weekly and monthly reports using PowerBI and SQL/Python based automations to reduce analyst bandwidth on redundant tasks\. Trained MIS and operations team with basic query writing abilities to ensure quicker data availability for reporting\. Collaborated with merchandising teams on design and performance of Gourmet specific widgets, pages and carousels\. Collaborated with Marketing team to decide the target base and performance for gourmet specific campaigns\. Shared performance and a/b testing analysis on Product page changes with Product and technical teams to decide better functional and performing features\. Designed Customer segmentation cohorts for Gourmet category, by utilizing existing 3T segmentation rules in the organization and adding additional category specific attributes\. These Cohorts were useful in deciding the Target base for product, marketing and launch initiatives\. \- Key Deliveriables: Data driven Business Insights, Customer Segmentation, Campaign designing, Story telling through Data, Feature A/B testing, Landing page design and performance analytics, Category Product launch & monitoring\.

## Education

Bachelor of Technology \(BTech\), Computer Science and Engineering, Indian Institute of Information Technology Vadodara

Intermediate, PCM, sri chaitanya junior college

## Public links

- rkj\-portfolil\.vercel\.app: https://rkj\-portfolil\.vercel\.app/

[View the original profile](https://tal.club/meet/ravi-jha)

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