Data Analyst Power Bi

Jaganath Selvan Data Analyst

Long Beach, CA +1-414-***-**** ****************@*****.*** LinkedIn SUMMARY

Data Analyst with 3 years of experience in healthcare and finance, skilled in SQL, Python, Power BI, Tableau, and Snowflake. Built automated pipelines, dashboards, and predictive models that improved reporting speed and reduced manual effort. Experienced in A/B testing, churn analysis, and regulatory reporting under HIPAA. Comfortable working with large datasets, collaborating across teams, and presenting insights that support real business decisions. Focused on solving problems with clean data and clear communication.

TECHNICAL SKILLS

Programming & Scripting: Python (Pandas, NumPy, Seaborn, Plotly, Statsmodels), SQL (Joins, CTEs, Window Functions), R

(Tidyverse), Bash

Data Visualization: Power BI (DAX, Custom Visuals), Tableau (LODs, Actions), Looker (LookML), Google Looker Studio, QuickSight

Databases & Warehousing: PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Amazon Redshift, Azure Synapse ETL & Data Wrangling: Apache Airflow, dbt, AWS Glue, Alteryx, Talend, Power Query, Excel (VBA, Advanced Formulas) Statistics & Analytics: Hypothesis Testing, A/B Testing, Regression, Clustering, Time Series, Statistical Significance Machine Learning: Linear/Logistic Regression, Decision Trees, K-Means, PCA, Scikit-learn, Model Evaluation Metrics Cloud Platforms: AWS (S3, Redshift, Athena, Glue), GCP (BigQuery, Cloud Storage), Azure (Data Factory, Synapse) Data Modeling & Governance: Star/Snowflake Schema, Dimensional Modeling, OLAP/OLTP, Data Quality, GDPR/CCPA, Git Version Control

Storytelling & Communication: Executive Dashboards, Stakeholder Presentations, Cross-functional Collaboration, Business Impact Insights

Collaboration & Agile Tools: Jira, Confluence, GitHub, Notion, Microsoft Teams, Slack AI & Automation Readiness: Prompt Engineering (ChatGPT/OpenAI), AI-assisted Insights, Workflow Automation Tools PROFESSIONAL EXPERIENCE

UnitedHealth Group, WI, USA Jan 2025 - Current

Data Analyst

Automated ETL workflows using Python, SQL, dbt, and Airflow, reducing data refresh time by 35% and improving on-time delivery of payer analytics for 12+ business stakeholders.

Created Power BI dashboards with DAX and slicers, helping leadership reduce claim denial turnaround by 28% through visual root-cause identification and cost center performance tracking.

Developed SQL pipelines with AWS Glue to integrate Redshift and Athena, enabling real-time insights on 30M+ claim records and reducing manual data aggregation by 60%.

Built churn prediction models in Scikit-learn using logistic regression, improving care outreach effectiveness by 27% and driving patient retention in high-risk categories.

Led A/B testing to evaluate new care programs; identified a program variant that reduced per-member-per-month (PMPM) cost by 12% across three major payer segments.

Designed Looker dashboards with drill-down filters for prior auth and referral tracking, decreasing manual QA checks and enabling real-time insights for 5 cross-functional departments.

Standardized dimensional modeling using star schema, Git, and HIPAA compliance protocols, reducing audit risk and ensuring 100% traceability across operational and executive reports. R-Financial, India Jul 2021 - Aug 2023

Data Analyst - Associate

Automated financial reconciliation using Excel VBA, Power Query, and MySQL, cutting manual processing time by 85% and accelerating monthly close from 3 days to 4 hours.

Built Tableau dashboards with LODs and actions, enabling fund managers to monitor asset exposure in real time and improve rebalance timing accuracy by 18%.

Created segmentation and churn models in Python (Scikit-learn), increasing retention for high-risk customers by 25% and reducing marketing spend per conversion by 14%.

Maintained Snowflake and PostgreSQL pipelines, applying dimensional modeling and Git version control, reducing reporting errors by 35% and improving financial KPI consistency across business units and teams by 40%.

Delivered statistical insights using Seaborn, Plotly, and hypothesis testing, shaping quarterly investment strategies and identifying seasonal trends across three asset classes.

Led cross-functional collaboration with compliance and BI to build RBI-aligned dashboards, reducing audit preparation time by 40% and ensuring zero non-compliance flags.

Managed Jira-based analytics requests and documented pipelines in Confluence, improving team visibility and reducing dashboard delivery cycle time by 33%.

EDUCATION

Master of Science in Information Systems Aug 2023 - May 2025 California State University, Long Beach, CA, USA

Bachelor of Engineering - BE, Computer Science Aug 2019 - May 2023 Dayananda Sagar University, India

PROJECTS

Axon

Developed a React Native app and web interface integrating Sendbird for real-time messaging, connecting patients, families, and doctors, which improved communication efficiency and care coordination by 30%.

Implemented memory-support tools like games, music playlists, and photo galleries, resulting in a 25% increase in daily engagement and cognitive interaction among dementia patients using the mobile application. Finance Fraud Detection

Trained fraud detection models using Scikit-learn and PyTorch on high-volume financial datasets, leading to a 25% improvement in accuracy for identifying anomalous or suspicious transaction patterns.

Redesigned data ingestion pipelines to reduce processing bottlenecks, increasing throughput of financial transactions by 30%, which accelerated fraud detection workflows and reduced time-to-alert for compliance teams. PUBLICATIONS

Consumer Complaints Classification Using Machine Learning & Deep Learning, IRJASH

Researched and programmed an app for dementia patients to utilize an application. Access to games, customized music therapy, a library of prior images, movies posted by his family members, jokes to lighten the patient's mood, and video calls with family and the doctor. The app allows doctors and family members to receive updates about the patient

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