Sai Avinash Polina

Work History

Business Data Analyst

Capital One Financial

Virginia

07.2025 - Current

Designed and optimized SQL queries across PostgreSQL and MySQL to support monthly financial reconciliations, reducing manual reporting time by 25% and ensuring data accuracy for over 200K transactional records.
Built Python (pandas, NumPy, matplotlib) pipelines for cleansing and analyzing loan portfolio data, enabling management to identify delinquency trends and improve recovery strategies by 8%.
Developed A/B testing and regression models in R to evaluate effectiveness of new customer engagement initiatives, providing insights that influenced product adoption strategies across 3 business units.
Automated recurring dashboards in Tableau and Power BI, integrating KPIs like NPL ratio, ROI, and churn, which improved executive decision-making and cut manual reporting efforts by 15 hours per month.
Supported enterprise data management by creating ETL workflows in Airflow and building a Snowflake data mart, which reduced query response times by 40% for investment risk analytics.
Leveraged AWS S3 and Redshift to centralize structured and semi-structured data from finance systems, implementing governance practices that improved data lineage and quality checks by 30%.
Enhanced financial modeling using Advanced Excel (Pivot, VLOOKUP, VBA macros) to automate variance analysis across monthly P&L reports, saving 10 analyst hours per week.

Business Data Analyst (Intern)

Capital One Financial

Virginia

01.2025 - 06.2025

Wrote optimized SQL queries in Oracle OTBI and BigQuery to extract large volumes of transaction-level data, enabling analysts to cut data preparation time by 20%.
Assisted in building Python (pandas, seaborn) scripts for cleaning and visualizing customer spend patterns, which were later used in portfolio segmentation analysis.
Designed Power BI dashboards tracking account acquisition KPIs and integrated real-time feeds from Google Data Studio, improving transparency for branch performance metrics.
Partnered with senior analysts to perform data modeling (Star schema) in Redshift, supporting faster roll-ups for financial KPIs in monthly board reports.
Built process documentation and supported ETL data pipeline monitoring in Apache Airflow, reducing escalation turnaround times by 30%.
Leveraged AWS Athena and S3 to run ad-hoc queries on credit card transaction data, assisting the compliance team in fraud detection investigations.

Data Analyst (Intern)

Sage Softtech

India

02.2023 - 07.2023

Developed SQL queries and Python (pandas, NumPy) scripts to clean, transform, and validate structured/unstructured data, reducing manual data preparation efforts by 25% and ensuring accuracy for downstream analytics.
Executed A/B testing, hypothesis testing, and regression models in R and Python, delivering actionable insights that improved product feature adoption by 12% within the first quarter of rollout.
Developed interactive dashboards and reports in Tableau and Power BI to track hospital KPIs, improving stakeholder decision-making efficiency by 15%.
Designed and published Tableau and Power BI dashboards with KPI tracking and interactive drill-downs, enabling leadership to cut reporting time from 5 hours to under 30 minutes for weekly business reviews.
Built ETL pipelines using Apache Airflow and SQL for data ingestion from Snowflake and BigQuery, ensuring on-time data availability for critical reporting with 98% pipeline reliability.
Maintained and updated data governance standards, ensuring compliance with HIPAA and organizational data quality policies.
Presented technical findings to business stakeholders through interactive dashboards and presentations, improving decision-making confidence among non-technical users.
Explored AI/ML techniques and prompt engineering with large language models (ChatGPT), prototyping data automation use cases that reduced ad-hoc analysis requests by 20%.
Conducted time series forecasting to project patient admissions and resource requirements, aiding capacity planning and staffing decisions.

Data Analyst (Intern)

Mphasis

India

08.2022 - 01.2023

Implemented dimensional data modeling (Star and Snowflake schemas) for enterprise data warehouse, improving query performance by 30% and enabling scalable reporting across multiple business units.
Leveraged AWS (S3, Athena) and Google BigQuery for large-scale data storage and analytics, supporting datasets of 5M+ rows with optimized partitioning strategies for faster query execution.
Integrated Power Automate and SharePoint workflows for real-time data updates, increasing collaboration efficiency across cross-functional teams by 18%.
Partnered with stakeholders to gather requirements and translate them into technical specifications, ensuring 100% alignment of deliverables with business goals and reducing rework by ~15%.
Collaborated in Agile/Scrum ceremonies using Jira and Confluence, contributing to sprint planning, backlog grooming, and demo sessions that accelerated delivery timelines by 10-12%.
Maintained data governance practices by establishing quality checks, metadata management, and lineage tracking, ensuring compliance with audit and security requirements.

Summary

Overview

Work History

Business Data Analyst

Business Data Analyst (Intern)

Data Analyst (Intern)

Data Analyst (Intern)

Education

Master of Science - Data Analytics Engineering

Bachelors - Electrical and Electronics Engineering

Skills

Websites

Personal Information

Timeline

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