Apr 2023 – May 2025 · 2 yrs 1 mo · Seoul, South Korea · Hybrid

• Customer Experience (CX) Product Analytics and Data Science:
• Launched new metrics on the a/b testing platform.
• Built data analytics and data science solutions to help:
• reduce aging inventory at Coupang
• increase CE sales by X% in 2024 by helping optimize search result page
• improved Cart Page performance by X orders per day by leveraging insights from consumer research paper
• experiment with LLM based customer review solution
• Worked with product and design teams to identify new iterations for experiments.
• Wow Product Analytics (Loyalty Program):
• Reporting to Head of Wow Product Analytics and partnered with Head of Wow Product and Head of Growth Marketing to identify problem areas and growth opportunities for Coupang’s Loyalty Program – Wow Membership
• Designed experiments and tracked performance for new product features using Coupang’s A/B testing platform and building data science solutions using SQL, Python and Zeppelin Notebooks.
• Helped improve redirections from the Coupang App to the Coupang Eats App using deep-dive analytics, dashboarding and notification solutions for the product teams.
• Designed and built reporting solutions to track key program metrics and leadership dashboard using Hive, Airflow, GitHub, Redash and Tableau.
• Conducted analytical deep-dives, presenting findings to leadership and driving business metric enhancements.

Dec 2022 – Mar 2023 · 3 mos

• Reporting to Head of Product and partnered with Head of Marketing and Head of Content for miniTV.
• Setup analytical systems for miniTV like data warehouse, ETL pipelines, targeted campaign systems, business metrics using AWS Redshift , AWS Quicksight, Internal Big Data Technologies, Notification systems, Jupiter Notebooks, Python, SQL and other internal analytics tools.
• Setup miniTV metrics on Amazon’s A/B testing platforms.
• Helped grow Streamers-to-Visitors Ratio, Repeated Streamer, Streaming Hours, achieve higher click-through rates (CTRs) and other key business metrics through deep-dive analysis.
• Designed a brand new event logging mechanism for miniTV with the help of software engineering team. This resulted in reduced engineering, analytics and product effort in logging new events and processing the metrics.
• Worked with International ML team to operationalize personalization features.

Apr 2021 – Nov 2022 · 1 yr 7 mos

Jan 2019 – Mar 2021 · 2 yrs 2 mos

• Analytics POC for Amazon ISS and Global Selling Program. Managed 1 IC.
• Built linear regression and logistic regression models for supporting operations for Content Optimization, Selection Parity business programs.
• Performed analytical deep-dives to identify and scope new business programs with more than $1 Billion in target GMV.
• Set up Data Warehouse on Amazon’s Data Lake using Redshift and internal technologies.
• Built tableau dashboards and automated email/excel reports for business reporting.

Oct 2018 – Dec 2018 · 2 mos · Bengaluru, Karnataka, India · On-site

• As an IT Technical Lead with the Data & Analytics team handled a team of 3 associates for delivering data solutions for over a dozen clients.
• Designed, developed, and managed solutions for audit clients (public companies in the US and India) using a diverse technology stack, including Microsoft BI Stack, Alteryx, Tableau, QlikView, IDEA Data Analytics tool, and KPMG’s proprietary audit analytics platform, KAAP.
• Built apps on Caseware Idea and Alteryx to perform General Ledger (GL) Analytics and Substantive Testing Procedures
• Built strong domain expertise in Accounting & Auditing, ERP systems, and industry-specific knowledge.
• Managed a portfolio 12 audit clients and led the team of 3 associates ensuring effective client service delivery.
• Supervised software testing and collaborated with GITC and Infosec approvers to secure necessary approvals.
• Promoted twice during my tenure at KPMG.

Oct 2016 – Sep 2018 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Feb 2015 – Sep 2016 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Sep 2012 – Jan 2015 · 2 yrs 4 mos · Noida, Uttar Pradesh, India · On-site

• As a Software Engineer, I worked with a diverse technology stack, including Java, .NET, Oracle ERP, and the Microsoft BI Stack like SSIS, SSAS, etc.
• Developed applications for a Fortune 5 company to streamline processes such as Employee Exit, Leave of Absence, and Sales Compensation using SQL Server, Oracle DB, Java and Microsoft .NET
• Designed and managed ETL pipelines using Microsoft SSIS for Sales Compensation Management Software like Varicent and Xactly.
• Created software solutions for managing and handling Personally Identifiable Information (PII) data.
• Developed Health Check Systems to check data quality and monitor the health of ETL pipelines and.
• Contributed to the development and maintenance of the client’s Learning Management System.

Jul 2011 – Sep 2012 · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site