Veeravenkatasatya Sanyasi Pavan Ravi Sreekantam
Harrison,NJ
Summary
Dynamic and analytical Data Analyst with 4+ years of proven success in transforming complex data into actionable business insights and strategic decisions. Experienced in data cleaning, transformation, and statistical modeling to support forecasting, compliance, and operational efficiency across diverse domains including banking, retail, and healthcare. Proficient in SQL (T-SQL, PL/SQL), Python (Pandas, NumPy, scikit-learn), R, Power BI, Tableau, and modern cloud data platforms such as Snowflake and AWS Redshift. Adept at designing ETL workflows, KPI dashboards, and predictive models to enhance data accuracy, monitor key metrics, and drive business growth. Collaborative team player with hands-on experience in Agile/Scrum environments, partnering with cross-functional stakeholders in finance, compliance, and marketing to deliver measurable, data-driven outcomes aligned with organizational goals.
Experienced with statistical analysis, data modeling, and visualization techniques critical for data-driven decision-making. Utilizes advanced SQL and Python skills to identify trends and optimize business processes. Knowledge of key industry tools and methodologies ensures comprehensive data analysis and actionable insights.
Overview
6
6
years of professional experience
Work History
SR. DATA ANALYST
American Express
03.2024 - Current
- Built credit risk scoring and predictive analytics models in Python (scikit-learn, statsmodels) to evaluate customer default probability and enhance credit approval decision-making accuracy.
- Developed interactive KPI dashboards in Power BI and Tableau to visualize fraud detection efficiency, delinquency rates, portfolio exposure, and risk-adjusted returns, empowering leadership with real-time financial insights.
- Automated regulatory and compliance reporting processes (SOX, Basel III, CCAR, Dodd-Frank) using SQL (T-SQL, PL/SQL) and ETL workflows (SSIS, Informatica), improving reporting precision and audit readiness by 35%.
- Performed stress testing, liquidity risk assessment, and scenario modeling on credit portfolios to evaluate capital adequacy and resilience under market volatility.
- Partnered with AML/KYC and compliance teams to establish customer risk analytics frameworks, strengthening fraud monitoring and reducing potential regulatory violations.
- Conducted variance and cost-benefit analyses across business units to identify operational inefficiencies and optimize expense-to-revenue ratios.
- Utilized Snowflake and AWS Redshift for large-scale financial data warehousing and reporting automation, enabling near real-time analytics for treasury, finance, and compliance teams.
- Implemented time-series forecasting models in R/Python to improve liquidity forecasting and capital allocation accuracy, ensuring optimal treasury management.
- Designed and delivered portfolio performance benchmarking dashboards, tracking profitability, credit exposure, and ROI across customer and product segments.
- Collaborated with investment and retail banking teams to generate data-driven insights on capital markets exposure, derivative pricing, and portfolio profitability, supporting executive-level financial strategy.
- Integrated Salesforce financial datasets into BI dashboards to analyze client engagement and lending performance, enhancing CRM-driven decision-making and customer risk segmentation.
SR. DATA ANALYST
Target
09.2023 - 02.2024
- Conducted data cleaning, transformation, and mining of large-scale retail datasets (POS, loyalty, ERP, and Salesforce CRM data) using SQL and Python (Pandas, NumPy) to ensure accuracy, consistency, and readiness for analysis.
- Performed exploratory and statistical data analysis (EDA) to identify customer purchasing patterns, seasonal sales cycles, and the impact of marketing campaigns, enabling data-driven retail strategy.
- Designed and implemented interactive Power BI and Tableau dashboards showcasing KPIs such as sales growth, revenue variance, inventory turnover, and promotion effectiveness, enhancing visibility for executives and regional teams.
- Built and optimized data models for demand forecasting and supply chain analytics, reducing stockouts by 15% and improving inventory utilization and forecasting precision.
- Automated ETL workflows and SQL pipelines (queries, joins, stored procedures) to standardize data ingestion from multiple systems, improving data refresh rates and ensuring unified reporting.
- Supported A/B testing and pricing optimization initiatives using Python (statsmodels, Seaborn, Matplotlib), providing insights that refined promotional targeting and increased campaign ROI.
- Collaborated with cross-functional teams in marketing, sales, and finance to translate complex datasets into actionable insights, directly influencing pricing, discounting, and replenishment strategies.
- Leveraged Salesforce CRM data to analyze customer engagement and pipeline performance, integrating key metrics into BI dashboards for improved decision-making by sales and leadership teams.
- Applied critical thinking and communication skills to distill analytical results into concise business recommendations, accelerating data-driven decisions and improving operational efficiency across departments.
Data Analyst
Tata Consultancy Services
04.2020 - 05.2023
- Conducted exploratory and statistical data analysis (EDA) on large-scale claims and transaction datasets to uncover trends, identify root causes of rejections, and optimize cost and process efficiency.
- Engineered ETL pipelines using SQL and Python to automate data extraction, transformation, and loading, enhancing reporting accuracy and cutting manual effort by 30%.
- Designed and deployed interactive Power BI dashboards tracking KPIs such as claims denial rates, payment turnaround, revenue leakage, and operational bottlenecks, enabling executives to make data-driven decisions.
- Developed and fine-tuned SQL queries, joins, views, and stored procedures to improve reporting performance, streamline workflows, and deliver high-quality analytics under tight deadlines.
- Partnered with finance, compliance, and actuarial teams to build predictive models for claims forecasting, fraud detection, and customer delinquency risk, resulting in a 20% improvement in forecasting accuracy.
- Automated regulatory and compliance reports (SOX, IFRS, GAAP) ensuring accuracy, audit readiness, and adherence to internal controls and governance frameworks.
- Built Salesforce-integrated analytics dashboards that visualized lead conversion, sales pipeline efficiency, and service metrics within Power BI for enhanced business visibility.
- Defined and monitored KPI frameworks for revenue, churn rate, and portfolio risk, providing leadership with actionable insights to improve business strategy and customer retention.
- Utilized data mining and anomaly detection techniques to identify irregularities in credit risk and financial datasets, supporting proactive fraud mitigation.
- Collaborated in Agile/Scrum environments with cross-functional teams to translate business requirements into analytical solutions that aligned with organizational goals and performance metrics.
- Worked with cross-functional teams (compliance, finance, IT) in an Agile/Scrum environment, contributing to sprint planning, stakeholder reviews, and continuous improvement initiatives.
Education
M.S. - Management DATA ANALYTICS
Indiana Wesleyan University
Indiana, USA05.2025
B.TECH - ELECTRONICS AND Electronics Engineering
Godavari Institute of Engineering and Technology
Rajahmundry, India05.2021
Skills
- Programming Python (Pandas, NumPy, scikit-learn, statsmodels), R, SQL (T-SQL, PL/SQL), Excel (Pivot Tables, Power Query)
- Visualization & BI Power BI, Tableau, Google Data Studio, KPI Reporting, Dashboarding
- Databases & ETL Snowflake, AWS Redshift, Oracle, SQL Server, SSIS, Informatica, Data Warehousing
- Cloud Platforms AWS (S3, EC2, Lambda), Azure (Data Factory, Synapse), GCP (BigQuery), Databricks
- Analytics & Statistics EDA, Predictive Analytics, Time Series Forecasting, A/B Testing, Regression, Clustering, Classification
- Collaboration Agile/Scrum, Git, JIRA, Confluence, Stakeholder Management, Cross-Functional Communication
- Advanced Excel
- Data warehousing
Timeline
SR. DATA ANALYST
American Express
03.2024 - Current
SR. DATA ANALYST
Target
09.2023 - 02.2024
Data Analyst
Tata Consultancy Services
04.2020 - 05.2023
B.TECH - ELECTRONICS AND Electronics Engineering
Godavari Institute of Engineering and Technology
M.S. - Management DATA ANALYTICS
Indiana Wesleyan University