Headline

Senior Data Analyst @ Amazon · 14 yrs · Pricing, Fraud & Operations Analytics · Automated pipelines that cut reporting time by 60% · SQL · Python · QuickSight

About

For 14 years at Amazon, I have built analytics systems that make operations faster, pricing sharper, and fraud harder to hide. I started on the ground — auditing product data, managing quality across marketplaces, learning how a single bad data point can quietly cost millions. That foundation shaped how I think about analytics: not as reporting, but as risk reduction and decision support. Today I specialise in three areas: Pricing analytics — benchmarking models, outlier detection, and competitive pricing dashboards that surface problems before they reach leadership as surprises. Fraud and integrity analytics — risk scoring models, pattern detection across transaction data, and automated alerts that replace reactive root cause analysis with proactive signals. Automation pipelines — SQL and Python workflows that eliminate manual reporting. One pipeline I built cut my team's reporting time by 60% and freed up analyst hours for higher-value work. My dashboards in AWS QuickSight and Power BI are now standard tools for leadership decision-making — not just reports that get opened once and ignored. What I bring beyond technical skills: I ask the question behind the question. When a stakeholder says "why did defects spike this week?" I am already building the model that tells them next week before it happens. I am currently open to Senior Data Analyst and Lead Analytics roles, particularly in fraud, integrity, pricing, or operations — where data quality has real business consequences. If you are building that kind of team, I would like to connect.

Location

Bengaluru

AI stack

claude code

github copilot

Work experience

Data Analyst at Amazon, Nov 2020 - Present · 6 yrs, Chennai, Cut leadership reporting time by 60% by designing and automating AWS QuickSight dashboards that deliver real-time operational metrics — replacing a manual process that previously took analysts hours each week. Eliminated 40% of manual effort across auditing and RCA teams by building Python and SQL automation pipelines, freeing analysts to focus on investigation rather than data preparation. Built a proactive defect risk scoring model that flagged quality issues before they escalated — reducing reactive root cause analysis workload and giving operations teams early warning signals. Designed RCA dashboards used across quality, retail, and automation teams, improving error visibility and cutting average time-to-insight on defect trends. Partnered with cross-functional stakeholders across pricing, retail, and automation to translate ambiguous business questions into data models and dashboard solutions adopted at leadership level.

Quality Lead at Amazon, Oct 2016 - Oct 2020 · 4 yrs 1 mo, Led a pricing and benchmarking analytics team within Amazon's Worldwide Competitive Pricing group, overseeing data quality and accuracy across multiple global marketplaces. Built pricing performance dashboards that tracked outliers and accuracy trends — enabling the team to catch pricing errors systematically rather than reactively. Designed internal quality check workflows that reduced recurring pricing defects, improving detection rates and reducing downstream correction costs. Identified patterns in pricing anomalies across regions and collaborated with automation teams to build corrective pipelines — an early version of the fraud-pattern thinking I now apply to integrity analytics. Mentored and upskilled associates on data validation, pricing analytics, and process improvement — growing team capability while maintaining output quality across high-volume queues.

Quality Team Lead at Amazon Development Centre, Chennai, Oct 2015 - Oct 2020 · 5 yrs 1 mo, Scaled analytics ownership from individual audits to organization-wide quality risk reporting.

Quality Analyst at Amazon, Sep 2014 - Sep 2016 · 2 yrs 1 mo, Conducted data and process audits across Amazon marketplaces to ensure pricing accuracy and consistency at scale — managing high-volume queues with 100% SLA compliance. Identified recurring process errors and worked with product and automation teams to implement fixes, reducing defect recurrence across pricing workflows. Supported data validation and reporting initiatives that strengthened pricing analytics accuracy across regions — developing the data quality instinct that underpins my current analytics work.

Education

Postgraduate Degree, Data Processing, Great Lakes Institute of Management

Master of Computer Applications, DG Vaishnav College.