I am a results-driven data analyst with over 5 years of experience turning complex data into actionable insights across banking, healthcare, and retail/e-commerce. I leverage Python, R, and SQL alongside advanced ML techniques to deliver predictive analytics, churn reduction, and fraud detection, driving measurable business outcomes. I design secure ETL pipelines, build interactive dashboards, and apply governance and regulatory-compliant analytics on cloud platforms (AWS, Azure, GCP). I collaborate with cross-functional teams to optimize customer segmentation, CLTV, and data storytelling that accelerates growth. I specialize in customer analytics, risk and fraud detection, and data-driven decision support, delivering scalable cloud-based data solutions and impactful dashboards that empower executives and operational teams alike.

Yashasri V

I am a results-driven data analyst with over 5 years of experience turning complex data into actionable insights across banking, healthcare, and retail/e-commerce. I leverage Python, R, and SQL alongside advanced ML techniques to deliver predictive analytics, churn reduction, and fraud detection, driving measurable business outcomes. I design secure ETL pipelines, build interactive dashboards, and apply governance and regulatory-compliant analytics on cloud platforms (AWS, Azure, GCP). I collaborate with cross-functional teams to optimize customer segmentation, CLTV, and data storytelling that accelerates growth. I specialize in customer analytics, risk and fraud detection, and data-driven decision support, delivering scalable cloud-based data solutions and impactful dashboards that empower executives and operational teams alike.

Available to hire

I am a results-driven data analyst with over 5 years of experience turning complex data into actionable insights across banking, healthcare, and retail/e-commerce. I leverage Python, R, and SQL alongside advanced ML techniques to deliver predictive analytics, churn reduction, and fraud detection, driving measurable business outcomes. I design secure ETL pipelines, build interactive dashboards, and apply governance and regulatory-compliant analytics on cloud platforms (AWS, Azure, GCP). I collaborate with cross-functional teams to optimize customer segmentation, CLTV, and data storytelling that accelerates growth.

I specialize in customer analytics, risk and fraud detection, and data-driven decision support, delivering scalable cloud-based data solutions and impactful dashboards that empower executives and operational teams alike.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Analyst at Fifth Third Bank
August 1, 2024 - November 4, 2025
Built and managed secure ETL pipelines with PySpark, Airflow, SQL Server, and AWS Redshift to process large-scale banking transactions and risk workflows. Implemented credit risk and fraud detection models using Python, R, and ML frameworks, improving fraud detection rates by 28-35% and reducing losses by 22%. Applied predictive analytics, churn modeling, and pricing analytics to boost retention and revenue by 18%. Ensured regulatory compliance (AML, KYC, Basel III, IFRS 9, GDPR, PCI DSS, CCPA) via automated reporting and dashboards. Developed risk/portfolio dashboards in Tableau and implemented real-time anomaly detection.
Data Analyst at Accenture
August 1, 2023 - August 1, 2023
Engineered healthcare ETL pipelines (PySpark, Airflow) and Azure Synapse for EHR/EMR data, enabling timely data flows and HIPAA-compliant ingestion. Conducted exploratory data analysis and applied clinical outcome modelling to inform care improvements. Built time-series and predictive models (Prophet, ARIMA, anomaly detection) to forecast patient demand and optimize hospital resources by ~15%. Implemented Azure Data Factory pipelines with secure EHR connectors and governance checks.
Data Analyst at Deloitte
June 1, 2021 - June 1, 2021
Built scalable ETL workflows on GCP (Spark, Databricks, Airflow) to unify data from online stores, payment gateways, and sales channels. Applied forecasting (Prophet, ARIMA, XGBoost) to optimize inventory and reduce stockouts by 15%, with improved accuracy. Developed customer segmentation and CLTV models to power personalized campaigns. Created interactive Looker dashboards for churn, ROI, and real-time e-commerce metrics; automated reporting and governance.

Education

Master’s in Information Systems (Major: Business Data Analytics) at Central Michigan University
January 11, 2030 - November 4, 2025
Bachelor’s in Computer Science & Engineering at Ellenki Engineering
January 11, 2030 - November 4, 2025

Qualifications

AWS Certification
January 11, 2030 - November 4, 2025

Industry Experience

Financial Services, Healthcare, Retail, Software & Internet, Professional Services