P SAI PHANI DIVYA
Hyderabad
Summary
Data engineer with 3+ years of experience in analyzing financial and transactional data within banking and enterprise environments. Skilled in identifying fraud patterns, performing risk analysis, and producing analytical reports to support business and compliance decisions. Experienced in transforming structured datasets into meaningful insights using Excel and Power BI, including dashboard creation, KPI tracking, and trend analysis. Strong understanding of financial regulations, AML compliance, and fraud prevention frameworks, with a proven ability to translate complex data into actionable insights for stakeholders.
Overview
4
4
years of professional experience
Work History
Data Engineer
HCL Technologies
Hyderabad
07.2024 - Current
- Designed Power BI dashboards to visualize high-risk accounts, suspicious transaction trends, and alert volumes, enhancing decision-making for compliance and risk stakeholders.
- Utilized Power Query to clean, merge, and transform transactional and alert datasets from multiple sources, improving accuracy for analytical reporting.
- Developed DAX measures to track risk indicators such as transaction frequency deviations, threshold breaches, and alert resolution timelines.
- Performed trend analysis on flagged transactions to reduce false positives and improve investigation efficiency.
- Prepared structured analytical reports and visual summaries to facilitate compliance audits and regulatory submissions, ensuring adherence to standards.
- Maintained historical investigation datasets and documentation to support future analysis and regulatory review.
- Designed data pipelines for efficient data integration and processing.
- Maintained data quality by conducting regular audits and validations.
- Participated in team meetings to discuss project requirements and timelines.
Data engineer
Wells Fargo
Hyderabad
05.2022 - 09.2023
- Developed and maintained analytical reports and dashboards using Power BI to effectively track fraud trends, dispute volumes, turnaround time, and resolution accuracy for risk and operations teams.
- Transformed raw transaction and dispute data using Power Query for data cleansing, normalization, and preparation prior to visualization and reporting.
- Created calculated measures and KPIs using DAX to monitor fraud rates, chargeback ratios, and investigator productivity metrics.
- Executed detailed data reconciliation, validating customer transaction records against merchant documentation and internal systems to ensure high data accuracy.
- Applied VISA Debit Card regulations and Regulation E guidelines to classify dispute types and support regulatory-compliant decision making.
- Performed root-cause analysis on fraud and loss events, revealing insights into recurring fraud patterns and identifying process gaps.
- Maintained structured datasets and loss records in CLAMIS, supporting GL-level reconciliation and financial reporting.
Education
Bachelor of Business Administration -
Samhitha Degree College
Rajahmundry01.2020
Skills
- SQL
- Python
- Power BI
- Tableau
- DAX
- Power Query
- MS Excel (Advanced)
- MS Office
- Fraud Analytics
- AML Monitoring Systems
- Transaction Analysis
- Anomaly Detection
- Risk Assessment
- Trend Analysis
- Data visualization
- Data visualization
Disclaimer
I hereby declare that the information provided above is true and correct to the best of my knowledge and belief.
Timeline
Data Engineer
HCL Technologies
07.2024 - Current
Data engineer
Wells Fargo
05.2022 - 09.2023
Bachelor of Business Administration -
Samhitha Degree College