I am a data analyst with around 5 years of experience delivering data-driven insights that accelerate business performance in banking and IT. I excel at SQL, Python, and R to manipulate data, run statistical analyses, and build actionable recommendations. I create executive-ready dashboards with Power BI, Tableau, QlikView, and Looker, and I design scalable data pipelines using Snowflake, Redshift, Azure Synapse, and AWS Glue. I also apply predictive analytics, time-series forecasting, and A/B testing to inform marketing, operations, and strategic decisions, while upholding data governance and security.

Prathyusha Dodda

I am a data analyst with around 5 years of experience delivering data-driven insights that accelerate business performance in banking and IT. I excel at SQL, Python, and R to manipulate data, run statistical analyses, and build actionable recommendations. I create executive-ready dashboards with Power BI, Tableau, QlikView, and Looker, and I design scalable data pipelines using Snowflake, Redshift, Azure Synapse, and AWS Glue. I also apply predictive analytics, time-series forecasting, and A/B testing to inform marketing, operations, and strategic decisions, while upholding data governance and security.

Available to hire

I am a data analyst with around 5 years of experience delivering data-driven insights that accelerate business performance in banking and IT. I excel at SQL, Python, and R to manipulate data, run statistical analyses, and build actionable recommendations.

I create executive-ready dashboards with Power BI, Tableau, QlikView, and Looker, and I design scalable data pipelines using Snowflake, Redshift, Azure Synapse, and AWS Glue. I also apply predictive analytics, time-series forecasting, and A/B testing to inform marketing, operations, and strategic decisions, while upholding data governance and security.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

Data Analyst at Simmons Bank
April 1, 2025 - November 4, 2025
Engineered SQL-based ETL pipelines in Snowflake, AWS Glue, and Airflow to consolidate multi-source financial transaction, credit, and portfolio data, reducing reporting lag by 40% and enabling near real-time insights for treasury and finance teams. Built Tableau dashboards for loan performance, delinquency trends, and revenue leakage, improving executive visibility into risk exposures and contributing to a 12% reduction in reconciliation issues. Orchestrated data workflows using AWS S3 data lake, Glue ETL, and Lambda to standardize ingestion of transaction and credit bureau feeds, improving refresh frequency and supporting near real-time fraud monitoring. Collaborated with compliance and risk teams to implement standardized regulatory reporting frameworks (SOX, Basel III, Dodd-Frank), improving compliance adherence by 18% and reducing audit escalations. Built Python-driven financial models for credit risk segmentation (PD, LGD), improving predictive accuracy of delinquency detection by
Data Analyst at LTI MindTree
December 1, 2023 - December 1, 2023
Designed and implemented SQL-based financial reporting solutions across Oracle and SQL Server, automating reconciliation workflows and reducing month-end discrepancies by 21%, improving reporting accuracy and audit readiness. Built and orchestrated ETL pipelines using Azure Data Factory (ADF) and Informatica PowerCenter to integrate data from multiple financial systems (ERP, CRM, and payment gateways), cutting manual preparation time by 35% and accelerating BI delivery. Developed and published interactive Power BI dashboards connected to Snowflake on Azure, tracking revenue cycle KPIs such as AR aging, cost variance, and SLA adherence, which improved executive decision-making speed and financial visibility. Automated exception handling and data validation scripts using Python (Pandas, NumPy, PyODBC) to detect anomalies in high-volume financial transactions, reducing reconciliation errors by 25%. Conducted root-cause analysis of financial reporting bottlenecks by leveraging advanced SQL
Data Analyst at Hexaware Technologies
August 1, 2021 - August 1, 2021
Designed and automated SKU-level data pipelines by extracting and processing sales and inventory data using SQL, Excel, and AWS S3/Athena, enabling daily trend reports that reduced stockouts by 15% and optimized inventory management by 10%. Developed interactive dashboards in Power BI to visualize pricing sensitivity, seasonal demand shifts, and regional sales trends, allowing marketing teams to adjust campaigns in real time, improving seasonal conversion rates by 11%. Performed large-scale data quality audits across ERP and cloud systems, detecting duplication and schema drift issues; implemented validation checks that improved master data reliability by 19%. Analyzed discount impact and footfall trends across store clusters, building AWS-backed comparison reports that improved quarterly demand forecasting accuracy by 20%. Collaborated with business leads on KPI framework development, created reusable templates, and documented data mapping for logistics dashboards, reducing report gen

Education

Bachelor of Technology in Electronics and Communications at Anurag Group of Institutions
June 1, 2016 - February 1, 2021

Qualifications

Apps.NET Beginner (level 1) Developer
January 11, 2030 - November 4, 2025
Microsoft Azure Fundamentals (AZ-900)
January 11, 2030 - November 4, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - November 4, 2025
AWS Solution Architect - Associate
January 11, 2030 - November 4, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services, Other, Education