Data Analytics Engineer with Insightful Dashboards and ML

Rushyendra A

+1-331-***-**** — # ************@*****.*** — ï https://www.linkedin.com/in/rushyendraa/ — Professional Summary

– Over 3 years of experience helping organizations turn raw data into meaningful insights using statistical analysis and clear visual reporting.

– Proficient in extracting, cleaning, and analyzing large datasets (SQL, Pandas, R, Excel).

– Skilled in developing interactive dashboards to support data-driven decision-making (Power BI, Tableau).

– Experienced in collaborating with cross-functional teams to streamline reporting workflows and reduce inefficiencies

(Jira, Confluence).

– Strong focus on identifying and tracking key performance indicators to evaluate and improve healthcare delivery (EHR systems, KPI frameworks).

– Proficient in AWS (S3, Redshift, Glue, Athena), Azure (Databricks, Synapse Analytics), and Snowflake, optimizing data storage, processing, and real-time analytics.

– Strong foundation in regression analysis, clustering, random forests, and time series forecasting, using Python

(Scikit-learn, TensorFlow) and R (ggplot2, tidyr) to develop insights that enhance operational efficiency.

– Proven ability to lead end-to-end data projects using Agile methodologies in fast-paced environments (Agile, Documentation).

Skills

Data Analysis & Statistical Modeling: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis

(Hypothesis Testing, A/B Testing, Regression Analysis, Cluster Analysis, Time Series Forecasting), Predictive Modeling, Machine Learning (Supervised & Unsupervised).

Programming & Scripting: SQL (Complex Queries, Window Functions, CTEs, Stored Procedures), Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow), R (ggplot2, dplyr, tidyr), PySpark, Java. Data Visualization: Tableau, Power BI, Looker, Google Data Studio, Matplotlib, Seaborn, ggplot2. ETL & Data Engineering: SQL Server Integration Services (SSIS), Talend, Apache Airflow, Alteryx, DBT (Data Build Tool), Data Pipeline Automation.

Cloud & Big Data Technologies: AWS (S3, EC2, Redshift, Glue, Lambda, Athena), Azure (Azure Data Factory, Synapse Analytics, Databricks), Google Cloud Platform (BigQuery). Databases & Data Warehousing: Snowflake, MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Firebase. Excel & Reporting: Advanced Excel (HLOOKUP, VLOOKUP, Pivot Tables, Macros), MS Visio, SAP for Data Extraction. Business & Domain Expertise: Healthcare Analytics, Financial Data Analysis, Risk Analytics, Market Research, Business Intelligence.

Methodologies & Tools: Agile (Scrum & Kanban), Waterfall, Jira, Confluence, Git/GitHub. Operating Systems: Windows, Linux, macOS.

Experience

HCA Healthcare July 2024 – Present

Data Analyst United States

– Collaborated with key stakeholders to gather business requirements and define KPIs for revenue reconciliation projects, ensuring alignment with organizational goals and improving audit compliance.

– Utilized SQL and Azure Data Factory to extract, transform, and load (ETL) over 750K+ healthcare claims and patient records, automating data pipelines and reducing manual processing by 30%.

– Developed and maintained Power BI dashboards and KPI reports to provide real-time insights into claim denial reasons, patient follow-up rates, and chronic disease trends, enabling data-driven executive decision-making.

– Conducted statistical analysis using R (regression, classification, risk scoring) to identify billing error sources and regional disease hotspots, contributing to a 20%+ reduction in revenue leakage.

– Led Agile sprint planning and backlog grooming sessions using Jira and Confluence, managing documentation including BRD, FRD, and process flow diagrams to facilitate clear communication between IT and business teams.

– Partnered with clinical and finance teams to monitor and improve key business metrics such as claim turnaround times, denial rates, and patient engagement, driving an 18% reduction in claim denials. Experion Technologies June 2020 – July 2022

Data Analyst India

– Engaged with stakeholders across compliance and operations to gather and document business requirements (BRD, SRS) for loan approval optimization initiatives using the Waterfall methodology.

– Extracted, cleaned, and analyzed 500K+ loan application and repayment records using MySQL and Excel (Power Query, advanced formulas) to identify process inefficiencies and improve SLA adherence.

– Designed and delivered Tableau dashboards and interactive KPI reports tracking loan life cycle metrics, approval ratios, and credit score distributions to enhance visibility for business users.

– Conducted A/B testing and ROI analysis on credit policy changes, using Python (Pandas, Scikit-learn) predictive models to assess applicant risk and optimize personalized loan offerings.

– Automated exception reporting workflows with Excel and Power Query, decreasing manual verification workload and accelerating underwriting processes by 15%.

– Collaborated with cross-functional teams in Agile sprints to prioritize requirements, monitor progress via Jira, and maintain updated documentation including functional specs and process flow diagrams. Education

Lewis University August 2022 - May 2024

Master’s in Data Science

Certifications

– Google Data Analytics Certificate

– Google Advanced Data Analytics Certificate

Publications

Enhancing the Security for Smart Card-Based Embedded Systems

– Published in Springer book series “Lecture Notes in Networks and Systems”

– Focused on improving security mechanisms for smart card-based embedded systems

– Explored cryptographic and architectural enhancements to prevent data breaches

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