• Owned the end-to-end analytics architecture powering executive, finance, marketing, and risk decision-making across the lending business, serving as the single point of accountability for metric correctness and availability.

• Partnered directly with VPs and Directors to translate growth, credit, and financial strategy into production analytics, enabling leadership to make weekly and quarterly decisions using a shared, trusted metrics framework.

• Designed and scaled a cloud-native analytics platform (Redshift, Airflow, Tableau) supporting 100+ stakeholders, handling loan-, transaction-, and funnel-level data at hundreds of millions to billions of records.

• Built executive-level dashboards used in weekly leadership reviews and board-level discussions, providing real-time visibility into approvals, funded loans, revenue, and portfolio health.

• Implemented incremental ETL pipelines with automated data quality checks and SLAs, improving data freshness from T+1 to near real-time for core lending and growth KPIs.

• Partnered with marketing and growth teams to deliver end-to-end funnel analytics from application through funding, improving visibility into approval drop-offs and funded conversion rates.

• Optimized Redshift data models and query patterns, reducing dashboard latency by 40–60% and controlling warehouse costs as data volumes scaled.

• Leveraged GenAI tools (Augment, Claude) to accelerate SQL, Python, and data-pipeline development, improving development velocity, code quality, and design iteration speed.

• Enabled true self-service analytics for operators and PMs by standardizing SQL patterns, documentation, and dashboard conventions, reducing ad-hoc analytics requests by ~35%.

• Mentored BI engineers, established analytics best practices, and played a key role in hiring and onboarding analytics talent as the company scaled.

• Developed a Vendor Vaccination Portal to evaluate the “Return To Office” Readiness

• Designed End-to-end solution to relocate vendors from Google Owned Offices to other locations that helped in cost cutting

• Developed a system for Risk Assessment solution to assess risk of various TVCs

• Worked collaboratively with business partners and different IT departments to provide integrated solutions

• Analyzed finance data to develop DSO mechanism to assess the digital revenue performance which enabled stakeholders to get consolidated data for all accounts

• Developed process to generate Samsung Stores KPIs that allowed Retail team to understand Store performances across a range of metrics

• Provided solutions to track NCME performance across various channels which allowed retail team to assess digital revenue and unit POS performance across SEA’s mobile division by account, product and channel

• Designed a system to track digital HHP performance across various channels that enabled Mobile and Retail Teams to track Mobile Business Performance quickly

• Worked on Big Data team to provide BI Solutions to support Samsung eCommerce business

• Interacted with business users and stakeholders from requirement analysis and designing till go live

• Developed process to reconcile data between Finance and eCommerce using dashboards which allowed users to find out the gaps in the data

• Designed Weekly Business Review Process using traffic, sales and supply chain data that enabled top leadership to understand business performance on a timely basis

• Provided Profit & Loss Statements using BI dashboards which allowed Finance team to quickly evaluate eCommerce performance on a regular interval

• Performed Tableau Server Administration responsibilities like User Management Analyzed data from several data sources and developed complex data scripts

• Worked in Project Management and QA Teams to provide analytical solutions

• Developed complex and predictive dashboards from Bugzilla to analyze the bugs data, to show the bugs for a given project by priority, severity, or to show how it is distributed by components which enabled top management to understand bug resolution performance

• Analyzed project management data and developed dashboards to track the status of various projects

• Designed the data model for dashboard and reporting needs

• Designed a process to predict demand of various products at various times using dashboard which helped the company in meeting the demands of various items in a company

• Developed dashboard to show weekly sales measures against various metrics

• Developed dashboard to show weekly actual sales of various products Vs Forecast