Data Analyst Power Bi

Maha Lakshmi Rishitha Koppada Data Analyst

Bellevue, WA +1 (612) -296-7036 ****************@*****.*** LinkedIn SUMMARY

Data Analyst with over 4 years of experience delivering measurable results through efficient data transformation, statistical modeling, and visual reporting. Skilled in SQL, Python, Power BI, Tableau, and Excel for driving insight generation and decision support. Proven ability to build automated ETL workflows using Airflow and Azure Data Factory, reducing latency and manual effort. Experienced in applying A/B testing and predictive modeling to improve business performance. Known for designing dashboards and writing optimized queries that reduce processing time and enhance accuracy across high-volume datasets while ensuring compliance and data governance in reporting environments.

TECHNICAL SKILLS

Programming & Scripting: Python (Pandas, NumPy, Scikit-learn), SQL (MySQL, PostgreSQL, MS SQL Server), Excel VBA for automation Data Analysis & Insights: Data Cleaning, Data Wrangling, Statistical Analysis, A/B Testing, Predictive Modeling, Classification Models, Data wMining, Trend Analysis

Data Visualization & Reporting: Tableau (Interactive Dashboards, KPI Monitoring), Power BI (Report Automation, Risk & Churn Analysis), Excel (Power Query, Pivot Tables, Advanced Formulas) Database Management & Cloud Platforms: Azure Synapse Analytics, Microsoft SQL Server, Relational Databases, EHR & Claims Data Integration (Healthcare), Basic exposure to Azure Blob Storage ETL & Data Pipelines: SQL-based ETL Workflows, Apache Airflow (Task Scheduling), Azure Data Factory (Pipeline Orchestration), Data Mapping & Transformation

Tools & Platforms: Jupyter Notebooks, Git, Azure DevOps, Confluence, SharePoint, Power Automate Business Intelligence & Reporting: KPI Development, Executive Dashboard Design, Business Requirement Analysis, Report Standardization, Cross-Department Insights

Compliance & Governance: HIPAA-Compliant Data Handling, Data Access Control, Governance Strategy for Sensitive Healthcare Data Project Methodologies: Agile (Scrum-based Reporting), Stakeholder Feedback Loops, Iterative Development Soft Skills: Data Storytelling, Problem-Solving, Business Communication, Collaboration with Clinical & Operational Teams, Analytical Thinking EXPERIENCE

Data Analyst UnitedHealth Group USA Jul 2024 – Present

Built HIPAA-compliant SQL pipelines integrating EHR and claims data from Azure Synapse, streamlining eligibility validation and reducing manual review efforts by 27%.

Automated Power BI dashboards for risk scoring and churn prediction, enabling clinical teams to proactively manage high-risk patients and improving care intervention rate by 18%.

Orchestrated predictive modeling workflows using Python (Scikit-learn) and Airflow, increasing early detection of claim denials by 21%, reducing resubmission delays.

Conducted A/B testing and statistical trend analysis on benefit plan engagement, uncovering a 12% increase in preventive care utilization post-intervention.

Enhanced report standardization using Power Automate and Excel VBA, saving 10+ hours/week in repetitive reporting tasks across compliance and operational metrics.

Partnered with cross-functional teams to design executive-level KPIs and dashboards, enabling informed decisions on resource allocation and operational efficiency gains of 15%.

Data Analyst Mphasis India Jul 2020 – Jul 2023

Developed and maintained SQL-based ETL pipelines for multiple financial clients, enabling real-time data ingestion and reducing data lag by 40% across reporting systems.

Designed interactive Tableau dashboards for CXO-level reviews, visualizing trends in customer attrition and credit risk, contributing to a 14% drop in churn.

Created Excel VBA automation scripts to process raw client data, streamlining weekly report preparation and saving 240+ analyst hours/year.

Conducted data wrangling and transformation using Pandas and NumPy, standardizing disparate datasets across projects to ensure consistent and clean analytics inputs.

Implemented classification models for lead scoring using Scikit-learn, improving sales team targeting accuracy and increasing conversion rates by 11%.

Collaborated with BI teams to define KPIs and reporting metrics, enabling better executive visibility into operational bottlenecks and performance deviations.

Used Azure Data Factory to build reusable data pipelines for internal analytics, improving ETL reliability and maintenance turnaround time by 35%.

Documented business requirements and functional specs via Confluence and SharePoint, reducing onboarding time for new team members by 20% and enhancing project traceability. EDUCATION

Master’s in Data Analytics Concordia University, St. Paul Minnesota Dec 2024 Bachelor’s in Biotechnology Vignan’s Foundation for Science, Technology & Research India Jul 2021 CERTIFICATIONS

HubSpot SEO Certification

Contact this candidate