Senior Fraud Risk Data Scientist

Priyanka Ronanki

Austin, TX 512-***-**** ********.*********@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Senior Data Scientist with 11+ years in fraud risk analytics and financial services, leveraging SQL, Python and feature engineering to identify emerging fraud patterns. Expertise building and deploying predictive scoring models and custom prevention rules in live environments. Delivered 50+ real-time fraud dashboards in Tableau and Power BI, reducing detection latency and false positives. Deep domain knowledge in digital payments and risk operations.

CORE TECHNICAL SKILLS

BI & Visualization

NLP & GenAI

Programming

Tableau (Desktop, Server, TabPy)

LLMs (GPT, Claude)

Python

Power BI (incl. Copilot)

Prompt Engineering

SQL

MicroStrategy

Text Classification

DAX

Dashboard Development

Named Entity Recognition

PySpark

Data Engineering

Databases

Cloud & MLOps

Hadoop

Teradata

Azure

Hive

MySQL

Databricks

Athena

PostgreSQL

Impala

BigQuery

Presto

Redshift

Trino

Hadoop

Oozie

Oracle

Impala

Collaboration & PM

Fraud & Risk Analytics

AI Productivity

JIRA Align

Anomaly Detection

Microsoft Copilot

Agile/Scrum

Fraud Scoring Models

Power BI Copilot

Confluence

Risk KPI Design

LLM-assisted analytics

Stakeholder Management

False Positive Optimization

SQL/DAX prototyping

Data Governance

CI/CD

Uplift Modeling PII data handling Predictive Modeling Financial Crime KYC

Generative AI workflows

Payment Systems

RTP Payment System

FedNow Payment System

PROFESSIONAL EXPERIENCE

Visa Inc. May 2019 - Present

Senior Data Scientist Austin, TX

•Built real-time anomaly detection pipelines using isolation forests and statistical process control methods; integrated financial crime predictive modeling alerts into Tableau dashboards for immediate triage by risk operations teams.

•Leveraged TabPy to embed Python-based predictive models directly into Tableau dashboards, delivering live scoring and what-if scenario analysis to non-technical stakeholders.

•Delivered 50+ fraud/risk dashboards in Tableau and Power BI supporting fraud models, authorization trends, disputes, and operational risk KPIs across multiple business units, showcasing advanced dashboard development best practices.

•Replaced 15+ manual Excel reports with governed self-service dashboards, reducing reporting TAT by ~60% and enabling on-demand access for 1,000+ stakeholders.

•Architected end-to-end reporting data flows: source discovery, SQL/Hive/T-SQL modeling, semantic layer design, KPI logic, and dashboard UX with parameterized controls and LOD calculations.

•Authored complex SQL for ad hoc investigations; handled 20+ stakeholder analysis requests per quarter with reproducible notebooks and clear executive narratives.

•Led Tableau Server administration: user/security management, content governance, performance tuning, extract scheduling, and capacity planning - reducing median dashboard load time significantly.

•Implemented certified semantic layers and data marts, eliminating duplicate datasets and accelerating ad hoc analytics turnaround by 40%.

•Applied Microsoft Copilot and Power BI Copilot to accelerate report prototyping, KPI documentation, and stakeholder narratives - improving team productivity by ~30%.

•Championed generative AI adoption for SQL scaffolding, requirement-to-metric mapping, and automated summary generation; established validation governance to maintain data quality standards.

•Served as technical lead on cross-functional Agile teams, participating in sprint planning, daily standups, backlog refinement, sprint reviews, and retrospectives while coordinating delivery across data engineering and analytics workstreams.

•Leveraged Azure monitor, Application insights to monitor and analyze call performance, identifying actionable insights to improve agent efficiency

•Authorization Risk Command Center: Unified risk KPIs and model health across global regions; implemented real-time anomaly alerts for RTP payment system and FedNow payment system with drill-through to merchant/issuer segments, improving triage speed by 35%.

•ROI, Fraud False Positive Reduction: Partnered with risk teams and third-party providers; delivered iterative ML dashboards quantifying precision/recall, cutover scenarios, and uplift, contributing to measurable model accuracy gains.

•Self-Service Data Mart: Curated certified semantic layers for recurring risk questions; reduced duplicate datasets by 60% and sped up ad hoc turnaround from days to hours.

•Predictive Dispute Analytics: Modeled chargeback probability using historical transaction features; enabled proactive dispute prevention and saved operational review hours.

•Analyzed KYC and customer onboarding data to identify fraud vulnerabilities and refine risk segmentation, enhancing the fraud defense framework and reducing onboarding-related false positives by 20%.

Collabera Inc. (Client: CyberSource / Visa) April 2017 - April 2019

Tableau Developer & Data Analyst Austin, TX

•Designed advanced Tableau visualizations, interactive dashboards, and certified data sources supporting fraud team analytics and self-service reporting for 150+ users.

•Built complex SQL-based data models connected to Hive and Impala; developed storytelling dashboards with action filters, parameters, sets, and calculated fields.

•Conducted exploratory data analysis (EDA) using Python, SQL, and feature engineering to surface fraud trends, transaction anomalies, and risk signals for business review.

•Administered Tableau Server environments (installation, upgrades, user management, performance monitoring) across single- and multi-node architectures.

•Authored business requirement documents and translated stakeholder reporting needs into reusable BI assets; managed workflow scheduling via Oozie.

Tata Consultancy Services (TCS) March 2010 - November 2012

Systems Engineer – Business Intelligence India

•Administered MicroStrategy development and production environments: schema design, user management, security models, metadata maintenance, and performance tuning.

•Developed complex analytical reports using advanced metrics, prompts, and transformations in MicroStrategy and Tableau; designed fact and dimension tables for data warehousing.

•Automated administrative workflows using Command Manager scripts; supported Narrowcast Server, Enterprise Manager, and Integrity Manager operations.

•Collaborated with business users to gather requirements and produce competitive pricing analysis and strategic decision-support reports.

SELECTED HIGH-IMPACT PROJECTS

Authorization Risk Command Center

Visa Inc. Austin, TX

• Unified global risk KPIs and model health by writing SQL queries and Python scripts; implemented real-time anomaly detection alerts in production pipelines with drill-through to merchant and issuer segments, improving triage speed by

35%.

ROI, Fraud False Positive Reduction

Visa Inc. Austin, TX

•Partnered with risk teams and third-party providers to build Python-driven ML dashboards in Tableau, quantifying precision, recall, cutover scenarios, and uplift to improve model accuracy.

•Automated monitoring of false positive rates using SQL queries and Power BI dashboards, enabling near-real-time tracking of uplift performance for leadership reviews.

Self-Service Data Mart

Visa Inc. Austin, TX

•Curated certified semantic layers for recurring risk questions; reduced duplicate datasets by 60% and sped up ad hoc turnaround from days to hours.

Predictive Dispute Analytics

Visa Inc. Austin, TX

•Modeled chargeback probability using historical transaction features; enabled proactive dispute prevention and saved operational review hours.

EDUCATION

2009

Bachelor of Engineering, Electronics & Communications Engineering

CERTIFICATIONS

•Microsoft Certified: Power BI Data Analyst Associate (PL-300): Issued May 2026

LANGUAGES

•English (Full Professional)

•Telugu (Native/Bilingual)

•Hindi (Limited Working)

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