Data Analyst Business

Harsha vardhan Garinti

Business Data Analyst

***********************@*****.*** 913-***-**** LinkedIn SUMMARY

• Experienced Business Data Analyst with 5+ years of expertise in SQL, Python, and end-to-end data analytics, transforming complex datasets into actionable insights. Streamlined ETL workflows, reducing processing time by 40% and enabling near real-time decision-making. Proficient in building scalable, high- performance data pipelines aligned with business goals.

• Skilled in predictive analytics, statistical modeling, and interactive data visualization using Python (Pandas, Matplotlib, Seaborn) and Power BI. Delivered executive-level dashboards and automated performance reports. Well-versed in data governance, compliance (HIPAA, GDPR), and quality assurance. Proven ability to drive operational efficiency, optimize KPIs, and support data-driven strategies across cross-functional teams.

SKILLS

Programming & Data Analytics: SQL (T-SQL, PL/SQL, MySQL, PostgreSQL, Redshift, BigQuery, NoSQL), Python (Pandas, NumPy, Matplotlib, Seaborn, SciPy), R (Statistical Analysis, Data Visualization) Databases & Data Warehousing: MySQL, PostgreSQL, Oracle, Snowflake, Redshift, BigQuery Data Visualization & Reporting Tools: Tableau, Power BI, Excel (Pivot Tables, Power Query, VLOOKUP, Macros), SSRS, SAS, SPSS

Business Intelligence & Analytics: KPI Dashboards, Data Modeling, Business Process Analysis, Data Wrangling & Cleaning, Financial Analytics, Forecasting, Statistical Analysis Data Governance & Compliance Reporting (GDPR, SOX, HIPAA)

ETL & Data Processing: SQL Server Integration Services (SSIS), PySpark, Databricks, Alteryx, Apache Airflow, dbt Cloud Technologies: AWS (Redshift, S3, QuickSight, Lambda, EC2), GCP (BigQuery, Data Studio), Salesforce (CRM & Analytics)

Project Management & Agile Tools: Agile, SCRUM, JIRA, Confluence, Kanban, SAP ERP, Microsoft Dynamics CRM

CERTIFICATIONS

• Google Data Analytics Professional Certificate – Coursera

• Microsoft PL-300: Power BI Data Analyst Associate

• AI For Everyone by Andrew Ng – Coursera (Completed)

• AWS Certified Data Analytics – Specialty (In Progress)

• Databricks Certified Data Engineer Associate (In Progress) EXPERIENCE

Business Data Analyst, HCA Healthcare, USA May 2024 – Present

• Deployed 7+ Tableau dashboards, cutting manual reporting by 60% and offering real-time visibility into KPIs for faster decision-making.

• Engineered Python and SAS-based models to enhance patient targeting, resulting in a 30% rise in appointment adherence and lower no-show rates.

• Identified $250K in revenue leakage via Streamlined SQL anomaly detection, expediting issue resolution by 45%.

• Consolidated data from Azure Synapse, SQL Server, and PostgreSQL to enable full-spectrum analytics on claims, provider efficiency, and patient outcomes.

• Shortened ER wait times by 18% through SQL-driven bottleneck analysis in patient flow and optimized triage resource allocation.

• Embedded row-level security, masking, and classification in SQL/Python pipelines to maintain 100% HIPAA compliance.

• Modeled patient satisfaction and churn using time series and classification methods, driving $1.2M+ in service upgrades.

• Facilitated workshops that improved dashboard adoption across clinical and ops teams by 35%. Business Data Analyst, Cigna Healthcare, USA Jul 2023 – May 2024

• Boosted model accuracy by 20% through refined feature engineering in Python (Pandas, Scikit-learn) and pre-processing pipelines.

• Built ETL workflows using Airflow and SQL, accelerating data pipeline throughput by 30% and saving 20+ hours/week in manual effort.

• Analyzed claims/utilization data via EDA (Matplotlib, Seaborn, SQL), informing strategies that increased revenue by 15%.

• Migrated 100+ GB of data into Snowflake/BigQuery, improving analytics speed by 30% and trimming

$50K/year in infra costs.

• Deployed QA automation, lowering post-load data errors by 35%, and Architected data flow diagrams for hybrid cloud systems.

• Applied time-series anomaly detection to patient behavior trends, reducing churn risk by 12%.

• Delivered executive dashboards with real-time filters, enhancing multi-plan performance monitoring. Data Analyst, Wellstar Health System, USA Aug 2022 – Jul 2023

• Streamlined operational dashboards in Tableau, increasing visibility into service line KPIs and reducing manual reporting by 65%, enabling informed resource planning across hospital units.

• Architected Tableau dashboards to track hospital KPIs, slashing manual updates by 65% and improving resource allocation.

• Minimized refresh time by 40% by tuning SQL queries and pipeline efficiency; merged EHR (Epic) with clinical data to enhance reporting reliability by 30%.

• Utilized Python (Pandas, Seaborn) to uncover seasonal patterns in admissions, increasing scheduling efficiency by 20%.

• Crafted Power BI dashboards for compliance tracking, contributing to a 25% drop in audit escalations and

$120K in savings from resolving LOS anomalies.

• Coordinated with IT and clinical teams to fix legacy system data gaps, improving telemetry coverage by 45%.

• Presented operational delay insights that drove workflow changes and improved staff throughput by 18%. Data Analyst, Nxtwave Disruptive Technologies, India Jun 2019 - Jul 2022

• Refactored manual reporting processes using Python and SQL, leading to a 40% reduction in turnaround time for monthly KPI dashboards, saving ~60 hours per month.

• Replaced Excel-based reporting with Python-SQL pipelines, saving ~60 hours/month and improving accuracy by 70%.

• Uncovered $250K in lost revenue by investigating CRM-ERP integration gaps; optimized billing through real-time root cause diagnosis.

• Designed scalable MySQL-Airflow pipelines handling 1M+ records daily, increasing availability to 98%.

• Developed Power BI/Tableau dashboards that visualized churn, improving executive planning and supporting a 15% revenue boost.

• Led A/B tests on segmentation strategies, raising marketing ROI by 22% through behavioral analysis.

• Applied forecasting models to refine inventory decisions, lowering overstocking costs by 12L annually.

• Authored data dictionaries and onboarding documentation that halved ramp-up time for new analysts. EDUCATION

Master’s in computer science, University of Central Missouri, Missouri, USA Aug 2022 - Dec 2023 Bachelor’s in Electronics and Communication Engineering, Gitam University, India Jun 2015 - May 2019

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