Ravi Chandra Thanikonda
Eden Prairie,MN
Summary
A highly analytical Senior Data Analyst with 9+ years of experience across diverse industries, including healthcare, marketing, and fraud detection. Expertise in data analytics, machine learning, predictive modeling, and data engineering, with a proven ability to leverage advanced techniques and tools to drive actionable insights and business outcomes. Proficient in Apache Kafka, Apache Spark, MongoDB, AWS, and OpenShift, with expertise in ETL pipeline development, cloud data warehousing, and automation to drive efficiency and scalability. Skilled in statistical modeling, anomaly detection, and forecasting, enabling businesses to mitigate risks and optimize performance.
Adept at collaborating with cross-functional teams to bridge business and technical gaps, ensuring actionable insights and strategic improvements. Strong background in data visualization and reporting, leveraging Tableau, Power BI, and Matplotlib to develop interactive dashboards. Recognized for leading data migration projects, ensuring seamless transitions from legacy systems to modern cloud platforms. A detail-oriented problem solver with excellent communication and leadership skills, dedicated to leveraging data for business value and process optimization.
Overview
9
9
years of professional experience
Work History
Senior Healthcare Data Analyst
Upmynd Inc. | Client: Midwest
11.2023 - Current
- Led enterprise-wide data analytics initiatives for a medical billing and claims system, working closely with stakeholders to identify data needs and support decision-making through data profiling, transformation, and visualization.
- Gathered, cleaned, and analyzed medical billing and claims data from multiple sources, including internal healthcare databases, and external APIs, ensuring accurate reimbursement tracking and compliance reporting.
- Conducted exploratory data analysis (EDA) to understand claims processing patterns, billing discrepancies, and provider reimbursement trends, identifying key areas for process improvement.
- Developed and maintained scalable data models and reports using Power BI, creating interactive dashboards to visualize KPIs related to claims processing efficiency, denial rates, and revenue cycle management.
- Utilized SQL, AWS (S3, Lambda), and Python (PySpark) to perform complex data extraction, transformation, and reporting, improving claims validation and fraud detection.
- Implemented AWS-based data integration solutions, collaborating with insurance providers and third-party administrators to standardize and pipeline claims data into an AWS Data Lake environment.
- Developed automated ETL pipelines using Apache Kafka for real-time data ingestion and Apache Spark for efficient data processing and transformation, improving claims processing speed and regulatory compliance tracking.
- Engaged with billing specialists and financial analysts, leading workshops and training sessions to enable better use of analytics tools for claims reconciliation and revenue optimization.
Senior Healthcare Analytics Consultant
Cognizant | Client: Simplify Health
05.2022 - 08.2023
- Designed and optimized SQL-based data marts, improving query performance and reducing report generation time by 40%.
- Developed predictive models using Python to analyze customer churn, improving retention strategies and system performance.
- Built data pipelines integrating healthcare data sources from AWS S3, Redshift, and MongoDB, ensuring seamless data flow for analysis.
- Created Snowflake views for efficient data extraction and loading, improving accessibility and real-time insights for stakeholders.
- Developed interactive Power BI and Tableau dashboards to visualize churn rates, retention efforts, and health plan performance.
- Collaborated with cross-functional teams to provide data-driven recommendations, enhancing customer acquisition and retention efforts.
- Utilized statistical algorithms for trend analysis and risk assessments, enabling proactive decision-making for health plan optimization.
- Optimized data workflows by leveraging Apache Kafka for real-time streaming of customer engagement data, providing near real-time insights.
ROI and Marketing Performance Analyst
Regalix
07.2021 - 05.2022
- Analyzed marketing spend and ROI for major brands, using data-driven insights to optimize advertising strategies and improve campaign efficiency.
- Utilized SQL and Python (Pandas) to clean, process, and analyze large datasets from multiple marketing channels, ensuring accurate and actionable insights.
- Built predictive models (Logistic Regression, Random Forest) to forecast marketing performance, customer engagement, and campaign outcomes.
- Created interactive Power BI dashboards to visualize marketing spend, ROI, and campaign performance, providing stakeholders with real-time insights for decision-making.
- Collaborated with cross-functional teams to identify opportunities for cost optimization and budget allocation, improving overall marketing effectiveness.
- Conducted A/B testing and regression analysis to evaluate marketing campaign success and identify factors that drove customer engagement and conversion rates.
Data Analyst - Fraud Prevention
Synchrony
05.2019 - 05.2021
- Developed time series machine learning models using Python (Scikit-learn, Statsmodels) for credit card fraud detection, improving the ability to identify fraudulent transactions in real-time.
- Applied anomaly detection techniques with Python (Isolation Forest, DBSCAN) to detect outliers and suspicious transaction patterns, enhancing fraud detection accuracy.
- Led the creation of interactive dashboards in Tableau and Power BI to visualize fraud detection KPIs, transaction trends, and risk factors, providing strategic insights to stakeholders.
- Automated data workflows using Python (Pandas, NumPy) and SQL, reducing manual processing time and improving the efficiency of the fraud detection pipeline.
- Integrated and analyzed large datasets from SQL databases (MySQL, PostgreSQL) and cloud platforms (AWS S3) to support fraud detection systems, ensuring reliable data flow and accuracy.
- Collaborated with cross-functional teams to enhance fraud prevention systems, leveraging data insights to optimize decision-making and reduce financial losses.
Data Integration Analyst
Sutherland | Client: BCBS
12.2015 - 05.2019
- Developed automated spreadsheets utilizing VBA scripting to clean, sort, and allocate data efficiently to the operations team, improving data processing speed and accuracy.
- Uploaded network provider information into an SQL database, creating structured tables for optimized data storage, retrieval, and future integration.
- Integrated provider information with client applications from the SQL database using REST APIs, ensuring seamless data flow and enabling real-time access to the provider data.
- Utilized advanced Excel functions (VLOOKUP, PIVOT) to prepare weekly performance reports, tracking production and quality metrics, and facilitating client communication.
- Automated reporting and data workflows, reducing manual intervention and ensuring the timely delivery of performance insights to key stakeholders.
Education
Master of Science - Data Analytics
Concordia University - St. Paul
Saint Paul, MN12-2024
Bachelor of Science - Electronics And Communications Engineering
JNTUH
Hyderabad, India05-2015
Skills and Expertise
Data Engineering & ETL
- Data Pipeline Development: Apache Kafka, Apache Spark, PySpark, AWS Glue, Informatica
- Real-Time Data Processing: Kafka for real-time data ingestion and processing
- Database Management: MongoDB, Redshift, Snowflake
- Cloud Platforms: AWS (S3, Redshift, Lambda), OpenShift, Azure (Databricks)
- Programming: SQL, PL/SQL, Python, Java, PySpark
- Containerization & Deployment: OpenShift, Docker, Kubernetes
- Automation: Python scripts, SQL stored procedures, AWS Lambda functions
Big Data & NoSQL
- Big Data Processing: Apache Kafka, Apache Spark, PySpark
- NoSQL Databases: MongoDB (Design, Optimization, Performance Tuning)
Cloud Integration & API Development
- Data Storage & Processing: AWS S3, AWS Redshift, AWS Lambda
- Cloud Data Solutions: OpenShift, Databricks, Snowflake, AWS Glue
Business & Stakeholder Engagement
- Cross-functional Collaboration: Work closely with data scientists, analysts, and stakeholders
- Agile & SDLC Methodologies: Experience managing projects in Agile environments
- Data-Driven Insights: Providing actionable insights for business optimization and decision-making
Timeline
Senior Healthcare Data Analyst
Upmynd Inc. | Client: Midwest
11.2023 - Current
Senior Healthcare Analytics Consultant
Cognizant | Client: Simplify Health
05.2022 - 08.2023
ROI and Marketing Performance Analyst
Regalix
07.2021 - 05.2022
Data Analyst - Fraud Prevention
Synchrony
05.2019 - 05.2021
Data Integration Analyst
Sutherland | Client: BCBS
12.2015 - 05.2019
Master of Science - Data Analytics
Concordia University - St. Paul
Bachelor of Science - Electronics And Communications Engineering
JNTUH
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