Open to opportunities

Deewakar Vijay

@deewakarvijay

Senior analytics professional specializing in loss forecasting, experimentation, and scalable data pipelines for business impact.

United States

Message

What I'm looking for

I’m looking for a role where I can build scalable analytics and forecasting solutions, run A/B tests with strong validation/QA, and turn data into strategy that improves customer experience and business performance.

I’m a data-driven analyst with 4+ years across fintech, e-commerce, and retail, focused on loss forecasting, experimentation, and large-scale analytics. I turn complex data into decisions by building monitoring dashboards, validation frameworks, and analytics pipelines that teams can trust.

Most recently as a Loss Forecast & Strategy Analyst III at BankofAmerica, I built and automated monthly strategy monitoring dashboards using SAS/SQL to track delinquency, recovery, and repossession trends. I developed optimized SAS macros and SQL pipelines to extract and transform data, reducing processing time and accelerating validation cycles for strategy deployment.

I also led end-to-end strategy validation and QA testing for decision engine initiatives—designing test plans, traceability matrices, and test scripts to prevent high-risk defects pre-deployment. I perform deep-dive analyses on roll rates and recovery performance, partnering with analytics and execution teams to resolve defects and ensure high-quality, SLA-aligned outcomes.

Earlier, I owned real-time analytics through AWS QuickSight and built scalable AWS ETL pipelines (S3, Glue, Athena) to improve feedback latency and multilingual chatbot performance benchmarks. I’ve delivered KPI-focused dashboards and models using SQL, Tableau/Power BI, and Python—supporting A/B testing, customer segmentation, and data quality improvements to drive measurable business results.

Experience

Work history, roles, and key accomplishments

Current

Loss Forecast & Strategy Analyst III

Current

Bank of America

Mar 2026 - Present (5 months)

Built and automated monthly strategy monitoring and tracking dashboards using SAS/SQL to analyze Consumer Vehicle Lending (CVL) portfolio delinquency, recovery, and repossession trends. Developed SAS macros and SQL pipelines for data extraction/transform from Teradata and Oracle and led end-to-end strategy validation QA testing for decision engine initiatives.

SAS SQL Loss Forecasting Credit Risk Analytics Dashboarding Teradata Oracle Data Extraction data transformation Strategy Validation QA Testing Test Planning Governance Data Pipelines Test Scripts

Business Analyst

Amazon

Apr 2025 - Feb 2026 (10 months)

Owned real-time analytics and CSAT tracking for AWS Chatbot performance, building QuickSight dashboards and supporting AWS ETL pipelines (S3, Glue, Athena). Reduced feedback latency by 50% and delivered A/B testing and UAT support for sales chat features to guide rollout decisions.

Amazon Quicksight CSAT SQL ETL S3 AWS Glue Real Time Analytics A B Testing UAT Customer Experience Analytics

Data Analyst/ Engineer

Kroger

Dec 2023 - Mar 2025 (1 year 3 months)

Analyzed sales across 117+ retail locations using SQL and Tableau to identify product, location, and promotion trends and optimize placement strategies. Built a customer segmentation model with SQL and Python and supported targeted advertising and personalized promotions using clustering and A/B testing.

SQL Tableau Python Sales Analytics Customer Segmentation Clustering A B Testing Data Cleaning Personalization

Data Analyst

BSIT Hyderabad

Sep 2020 - Aug 2022 (1 year 11 months)

Delivered 40+ dashboards using SQL, Power BI, Tableau, and Python to translate business requirements into actionable insights for performance tracking and growth analysis. Improved KPIs through measurement framework redesign and data governance/validation, including ~25% data quality improvement and ~2.34% revenue uplift via a real-time Tableau storyboard.