Sameer Bhalerao

Resume

Sameer Bhalerao

Senior Analytics Leader with 11+ years across Amazon and global organizations. Open to the right analytics leadership role in Luxembourg or EU remote.

Summary

Senior Analytics and Data Leader with 11+ years building data functions, analytics platforms, and governance frameworks across global organizations. 9-year track record at Amazon delivering enterprise-scale BI infrastructure and transformation programs across marketplace, payments, and private brands — owning the full lifecycle from data architecture and pipeline design to stakeholder strategy and C-suite reporting. Built analytics teams from scratch, authored BI requirements for multi-billion-dollar initiatives, and consistently restored data trust across complex multi-source environments. Open to the right analytics leadership role in Luxembourg or EU remote.

Experience

Sr. Business Intelligence Engineer – Selection Expansion (L6)

Jan 2024 – Apr 2026

Amazon · Luxembourg

  • Led end-to-end analytics for Amazon's $11.5B worldwide seller selection expansion program as sole BI Engineer; rebuilt Quarterly Business Review framework with new metric taxonomy (seller sales, offer quality, third-party seller contribution, selection quality) — drove 4 consecutive leadership cycles influencing product strategy across 17+ global stores.
  • Restored data integrity across an $838M+ sales program by rebuilding core seller identification logic and fixing long-standing inaccuracies; established source-of-truth reporting for 20+ downstream reports used by Business Managers and engineering teams worldwide.
  • Authored end-to-end analytics and BI Requirements BRDs for the $11.1B Big Bet migrating Amazon's cross-border listing platform to Listing Preferences as sole BI resource — defined launch-critical infrastructure under a 32-day timeline, enabling pilot launch (Oct 2025) and global rollout (Dec 2025).
  • Authored analytics BRD for a €1.8B initiative to onboard ecommerce platform consolidators — companies managing multi-marketplace seller operations, previously unsupported at Amazon — approved by Amazon Europe VP; designed 4-phase BI strategy and supported pilot launch analytics.
  • Built seller expansion analytics dashboard — 4-tab QuickSight suite (seller performance, sales, offer quality and selection funnel; 24+ visuals per tab) spanning 10 European markets, North America, Middle East, and South America; single source of truth for the product team and partner teams. Delivered financial modeling for Europe's biggest seller growth Big Bet ($2.5B). Mentored 2 BIEs and 1 Data Engineer; managed 3 interns within the INTech analytics org.

Sr. Business Intelligence Engineer – Amazon Private Brands (L5 → L6)

Jan 2021 – Dec 2023

Amazon · Luxembourg

  • Built the EU Private Brands analytics function from scratch as first hire — carried the full load solo for 10 months serving a 50-person business team; grew the team to 3 BI Engineers and managed 3 interns; expanded scope to Worldwide Private Brands across North America, Europe, and Japan; delivered 22 reports and 5 dashboards in the first 20 months.
  • Delivered Amazon Private Brands' first consolidated Deals Performance Dashboard (6 views, 20+ metrics) adopted as the global single source of truth for worldwide Private Brands deals analytics — 90+ users across 10 countries and 12 job families; saving 350+ hours/year.
  • Built product catalog defects bridge uncovering ~€110M in annual sales opportunity in senior leadership quarterly planning; product defect dashboard saved 50+ hours/week for Private Brands product managers (cited by a senior Category Leader in promotion assessment).
  • Automated Weekly Business Review (5–6 hrs/week saved for Finance — adopted as gold standard across Private Brands teams), Supply Chain Monthly Business Review (4-day manual → fully automated, ~1,000 hrs/year), and Inventory Tracker Engine (1,000+ hrs/year, extended to North America and Asia Pacific).
  • Promoted to Senior BI Engineer in Q3 2022 (10 cross-functional feedback providers); SQL cube technique reduced weekly reporting code from 20K to 1.3K lines, adopted org-wide; trained 2 new BI Engineer hires to independent delivery.

Lead Business Analyst - Amazon Pay / High-Frequency Commerce (L5)

Apr 2019 – Jan 2021

Amazon · Bengaluru, India

  • Led analytics for Amazon Pay and High-Frequency Commerce (Recharges & Bill Payments), managing a team of 3 Business Analysts and 3 interns; supported product, marketing, and operations teams across category launches, abuse prevention, and weblab decision-making.
  • Designed and implemented the Downstream Impact calculation methodology for product launch decisions, enabling Go/No-Go decisions on 5 product experiments ($30M in sales at stake) — adopted as the standard product management framework for feature launches.
  • Built a Python-based self-serve customer segmentation tool processing ~100 marketing campaigns/month; reduced campaign setup time by ~70%, saving ~3,000 hours/year for marketing and PM teams.
  • Designed abuse-prevention rules for HFC Recharges combining multiple data sources to auto-cancel ~100K abusive orders/month (~2% of volume), significantly reducing incentive fraud while minimising false positives.

Business Analyst - Amazon Pay / High-Frequency Commerce (L4)

Jan 2017 – Apr 2019

Amazon · Bengaluru, India

  • Built end-to-end data pipelines, 5 dashboards with 15+ views and a 25+ query self-serve library to support the launch of eight digital commerce categories (mobile recharges, bill payments, flight bookings, and more) — became the foundational analytics suite driving 50+ launch campaigns for this $2B digital payments and commerce business.
  • Delivered weblab analysis for 3 CX improvements leading to high-confidence product decisions; identified $5M in accounting corrections through deep dives involving Accounting, Business, and Nodal teams.

Decision Scientist (Analyst → Senior Analyst)

2014 – 2016

Mu Sigma Business Solutions · Bengaluru, India

  • Led analytics for two Fortune 500 retail and airline clients; built segmentation, demand forecasting, and marketing mix models influencing multi-million-dollar spend decisions.

Independent Projects

Disha Analytics

Jan 2026 – Present

Restaurant Intelligence SaaS · Founder & Builder

B2B SaaS platform that converts publicly available restaurant data into structured intelligence reports in under 5 minutes — compressing 2 analyst-days of research into a single automated pipeline. Deployed on Hetzner with a Vercel frontend.

  • Built end-to-end: Django 5 REST API, React 18 + Vite frontend, PostgreSQL, Celery + Redis async pipeline, and a 6-agent AI analysis engine (scraping 8 public sources per restaurant).
  • Three delivery modes: Public Scan (public data only), Validated Report (owner-uploaded financials), and Owner Walkthrough (5-page decision deck) — each producing ranked action plans, competitor benchmarks, and hypothesis checklists.
  • Ran pilot reports for live restaurants; built a Validation Center to track which hypotheses owners confirm and a 30-day Experiments tracker for operational tests.
Django 5React 18PostgreSQLCeleryRedisAnthropic APIHetzner

Radius

Jan 2026 – Present

Community Trust Platform · Founder & Builder

Trust infrastructure for the informal local economy inside residential societies. Workers list skills and build a verifiable trust score; residents post jobs, get AI-powered pricing, and pay directly via UPI. Platform never touches money.

  • Built the full platform: Django 5.1 backend (Railway-deployed PostgreSQL), Telegram bot for worker onboarding and job notifications, and a unified web portal for residents, workers, and admins.
  • Integrated Claude API (Disha AI pipeline) for intelligent job matching and automated pricing recommendations based on job category, location, and historical rates.
  • Pilot-ready at Blueberry Homes, Bangalore — deployed to Railway with full environment setup; full SOPs, job lifecycle management, and dispute resolution documented in collaboration with on-ground partner Alok.
Django 5.1PostgreSQLRailwayTelegram Bot APIClaude APIPython

Education

B.E. - Electrical and Electronics

Birla Institute of Technology, Mesra

Ranchi, India · 2010 – 2014

First Class with Distinction

Skills

AI Products & Applied AI

Multi-Agent ArchitectureLLM SystemsOllamaPrompt EngineeringLangChainLangGraphRAG Patterns

Data Products & Strategy

Data Products OwnershipMetrics Design & GovernanceBI SystemsETL PipelinesDashboard ArchitectureSelf-Serve Analytics

Analytics & Engineering

SQLPythonData ModelingAmazon RedshiftQuickSightA/B TestingPandasPlotly

Tools & Technologies

StreamlitDuckDBSQLiteGoogle Sheets APINext.jsTypeScriptGitAWSdbt

Leadership & Communication

Stakeholder LeadershipC-suite QBRCross-functional LeadershipTeam BuildingBRD AuthoringGo/No-Go Frameworks

Certifications

  • dbt Analytics Engineering
  • Ollama - Local LLM Inference & Prompt Engineering
  • AWS BI Technology Specialist
  • LangGraph and LangChain Design and Implementation
  • AI For Everyone - DeepLearning.AI
  • Agentic Coding Expertise - Claude Code and GitHub Copilot

Selected Achievements

  • Disha Analytics — built restaurant intelligence SaaS end-to-end; 6 AI agents, 8 data sources, 3 delivery modes; live on Hetzner
  • Radius — community trust platform for residential societies; Django + Telegram bot + Claude API; deployed to Railway, pilot-ready at Blueberry Homes, Bangalore
  • $11.5B iGMS WW program — sole BIE owner, rebuilt QBR framework and source-of-truth reporting
  • $11.1B BIL-to-LP Big Bet BRD — authored as sole BI resource, 32-day timeline, global rollout Dec 2025
  • $1.8B Lighthouse Integrators BRD — designed 4-phase BI strategy; $2.5B RTG financial modeling
  • Selexor Product Dashboard V2 — 4-tab QuickSight (EU10, NA, MENA, SA; 24+ visuals per tab), single source of truth for INTech and partner teams
  • ~€110M GMS opportunity uncovered via catalog defect analytics — adopted by senior leadership
  • ASIN defect dashboard saved 50+ hours/week for HPB PMs — cited by Category Leader L7 in promo assessment
  • EU HPB WBR automation saving 5–6 hrs/week — adopted as gold standard across all Private Brands teams
  • SCM MBR automation: 4-day manual process → fully automated, saving ~1,000 hours/year globally
  • Inventory Tracker Engine saving 1,000+ hours/year, extended to NA and APAC
  • 350+ hours/year saved via Deals Performance Dashboard, 90+ users across 10 countries
  • ~3,000 hours/year saved via Python self-serve segmentation tool for Amazon Pay marketing teams
  • Promoted L5 → L6 with 10 feedback providers (4 × L7, 6 × L6)