Profile

This page provides an in‑depth look at my professional journey, including key work experiences, major projects, education, and passions beyond my day job. Explore the sections below to learn more about my background and what drives me as a data science professional.

Professional Summary

I am a results‑driven data science professional with more than five years of experience delivering analytics, machine learning and business intelligence solutions. Currently working as a BI Engineer at Amazon, I bridge the gap between research science, data engineering and operations to fuel supply‑chain innovation at scale. My mission is to transform complex data into actionable insights that deliver faster, smarter and more efficient outcomes. Over the years I have built end‑to‑end data pipelines, forecasting models and interactive dashboards using SQL, Python, AWS and BI tools, collaborating across research, operations and program teams to deliver scalable, cost‑effective solutions.

Work Experience

• Business Intelligence Analyst – Operational Research, Amazon (Sep 2024 – Present):
  • Designed and deployed an end‑to‑end supply‑chain analytics platform using AWS (Redshift, S3, Glue, Lambda and QuickSight), delivering real‑time visibility into dwell times, bottlenecks and operational KPIs for the Middle Mile network.
  • Built cube forecasting models and network simulation tools to optimise package flow and capacity planning, enabling data‑driven decisions on lane balancing and resource allocation and driving a 39 % improvement in network efficiency.
  • Implemented scalable ETL pipelines for ingesting and transforming large volumes of shipment, node and forecast data, reducing manual reporting time by 70 %.
  • Collaborated with research scientists to build A/B testing and experimentation frameworks for continuous improvement in transit time, delivery speed and cost optimisation.
  • Developed interactive executive dashboards using QuickSight to empower leadership with proactive monitoring, performance deep dives and targeted interventions across regions.
• Business Analyst, Amazon (Jun 2023 – Jun 2024):
  • Drove analytics for Customer Experience and Value‑Added Services programs (VAS, BxGy, Ncemi and Speed), partnering with program managers to identify levers for improved adoption and retention.
  • Built and maintained interactive QuickSight dashboards to track VAS and promotional program KPIs, enabling data‑driven decisions and real‑time insights.
  • Developed Python scripts to automate VAS and CX data reporting, drastically reducing manual workload and improving data accuracy for monthly reviews.
  • Designed and implemented NLP pipelines using BERT to analyse customer feedback, extracting actionable sentiment and trends that informed program enhancements and boosted service adoption by 55 %.
  • Architected data pipelines integrating cross‑functional sources (marketing, operations, finance) to deliver consolidated analytics for executive reviews.
  • Drove improvements in VAS upsell/cross‑sell rates and contributed analytics for Speed initiatives leading to measurable gains in delivery performance.
• Data Analyst II, Amazon (Sep 2022 – Jun 2023):
  • Developed BI dashboards for the Delivery Partner (Amazon Flex) feedback program, providing actionable visibility into driver satisfaction, onboarding and operational bottlenecks.
  • Built Python‑based D+1 and Week 0 labour planning scripts for last‑mile operations, matching driver availability and preferences to fulfilment centre times and streamlining scheduling.
  • Enabled self‑service analytics by building robust SQL queries and data models, empowering operations managers to run custom reports and deep dives.
  • Optimised data pipelines and automated daily and weekly reporting processes, improving data reliability and freeing up 30 % more analyst bandwidth for insights work.
  • Worked closely with marketing and operations to turn feedback analytics into continuous improvement actions, contributing to higher driver satisfaction and optimised workforce utilisation.
• Business Analyst, Ensemble Education Innovations (Jun 2020 – Aug 2022):
  • Analysed educational datasets using SQL, Excel and Power BI to uncover insights that improved operational efficiency by 200 %.
  • Led business development efforts, requirements gathering and dashboard development to support strategic decision making and organisational growth.

Project Experience

• Tactical Hub for Automated Network Optimisation (THANOS): Designed and built the Thanos tool for scenario simulation and network optimisation in the Middle East & North Africa supply chain. Developed end‑to‑end ETL pipelines and QuickSight dashboards that enabled self‑service planning, reduced data preparation time by 60 % and accelerated data‑driven decision making.
• Middle Mile Package Cube Forecasting: Designed forecasting models for package volumes and oversize share using Prophet and XGBoost, yielding high‑accuracy predictions (≈3 % error) for strategic resource planning.
• Last‑Mile Transfer Optimization: Analysed performance data and applied ML techniques to optimise transfer operations, reducing transit times and improving efficiency.

Education

• PG Program in Data Science & AI, IIT Madras – Completed in Mar 2023
• B.Tech in Computer Science & Engineering, MAKAUT (WB) – Graduated in Jul 2016

Beyond My Day Job

Outside of my core role, I’m passionate about empowering the next generation of analysts and scientists. I serve as a career mentor and analytics trainer, guiding job aspirants from both tech and non‑tech backgrounds into high‑growth data roles. My community learning content has reached over 5,000 followers, who appreciate my ability to break down complex concepts into simple, actionable steps. I’m also an active contributor to analytics events, cricket and technology blogs and regularly speak at webinars and workshops. Let’s connect if you’re looking for end‑to‑end analytics or AI solutions that move the business needle, thought leadership in supply chain & operations analytics, or mentorship and collaboration in data‑driven problem solving.

Resume

You can download my complete résumé to learn more about my professional experience, skills and accomplishments.