I'm a data analyst specializing in fraud detection and risk analytics, with hands-on experience in machine learning, statistical modeling, and business intelligence. I have a proven track record of improving fraud detection accuracy by 15% on 1M+ transactions and analyzing 12M+ records to drive data-informed decisions. I'm also a published researcher (corresponding author) applying nonparametric statistical methods for clinical risk modeling and predictive analytics. My passion is turning complex data into actionable insights through robust dashboards, scalable analytics pipelines, and cross-functional collaboration. I thrive in fast-paced environments and love translating business requirements into data-driven solutions that empower teams to act confidently.

Sai Teja Bandaru

5.0 (1 review)

I'm a data analyst specializing in fraud detection and risk analytics, with hands-on experience in machine learning, statistical modeling, and business intelligence. I have a proven track record of improving fraud detection accuracy by 15% on 1M+ transactions and analyzing 12M+ records to drive data-informed decisions. I'm also a published researcher (corresponding author) applying nonparametric statistical methods for clinical risk modeling and predictive analytics. My passion is turning complex data into actionable insights through robust dashboards, scalable analytics pipelines, and cross-functional collaboration. I thrive in fast-paced environments and love translating business requirements into data-driven solutions that empower teams to act confidently.

Available to hire

I’m a data analyst specializing in fraud detection and risk analytics, with hands-on experience in machine learning, statistical modeling, and business intelligence. I have a proven track record of improving fraud detection accuracy by 15% on 1M+ transactions and analyzing 12M+ records to drive data-informed decisions. I’m also a published researcher (corresponding author) applying nonparametric statistical methods for clinical risk modeling and predictive analytics.

My passion is turning complex data into actionable insights through robust dashboards, scalable analytics pipelines, and cross-functional collaboration. I thrive in fast-paced environments and love translating business requirements into data-driven solutions that empower teams to act confidently.

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Language

English
Fluent
Italian
Fluent
Telugu
Fluent
Hindi
Advanced
French
Beginner

Work Experience

Research Collaborator at Clinical Research Lab
March 24, 2025 - Present
Driving statistical innovation through Nonparametric Combination (NPC) and Bootstrap methods, with ongoing research publication in clinical data science.
Analyst Intern at University of Campania 'Luigi Vanvitelli'
July 1, 2024 - November 1, 2024
Built ML clustering models (Python, SQL) to detect anomalies in 1M+ transactions; improved fraud detection accuracy by 15% and reduced false positives by 20%. Developed Tableau/Power BI dashboards adopted by 5+ departments; standardized KPIs and reduced reporting cycles by 30%. Analyzed 12M+ NYC Taxi trip records to identify demand patterns and support data-driven resource allocation.
Analyst at Vanvitelli University
June 2, 2024 - November 22, 2024
Developed scalable clustering models for high-dimensional datasets, enhancing performance in distributed big data environments.

Education

Data Analytics at University of Campania Luigi Vanvitelli
September 17, 2021 - November 22, 2024
Data Science at University of Campania Luigi Vanvitelli
November 22, 2024 - December 2, 2025
B.Sc. at University of Campania 'Luigi Vanvitelli'
December 1, 2021 - November 1, 2024

Qualifications

Youngest Research Collaborator
March 24, 2025 - September 5, 2025
GenAI Fellowship Program
January 1, 2025 - May 10, 2026
Introduction to Risk Management
January 11, 2030 - May 10, 2026
Advanced Excel Certification
January 11, 2030 - May 10, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services, Computers & Electronics, Transportation & Logistics, Healthcare