WWW: Bold Profile
Summary
Data Analyst with 5 years of experience in the US healthcare sector and Revenue Cycle Management
(RCM). Expertise in designing data solutions, optimizing ETL processes, and leveraging Microsoft Azure and
Power BI for data management and visualization. Proficient in analyzing datasets of 5 million+ records using
SQL and Python, delivering actionable insights that improve operational efficiency by 20%. Strong
collaborator across teams to drive data-driven decision-making and enhance business outcomes.
Overview
5
5
years of professional experience
Work History
Data Analyst II
Syneos Health
Salem, IN
04.2024 - Current
Designed and created optimized data tables in the end-to-end (E2E) environment, leveraging ETL
processes to transform, clean, and load both dynamic and static KPI data for seamless integration with
predictive models
Streamlined data workflows, enhancing model training efficiency and performance
by 25%
Led data ingestion processes, extracting and integrating raw data from over 5+ diverse sources,
ensuring 100% data accuracy and consistency
Performed detailed data profiling on 500,000+ records,
identifying and resolving inconsistencies, outliers, and quality issues, improving overall data integrity
by 30%
Proficiently managed and validated datasets comprising 5 million records, ensuring data integrity and
accuracy using Python and SQL
Utilized advanced analytical tools and methodologies to streamline
data validation processes, reducing error rates by 20% and optimizing overall efficiency
Designed ER data models and process mapping documentation using Lucid chart and Confluence,
facilitating knowledge sharing and ensuring consistency across cross-functional teams
Collaborated with cross-functional teams, including data engineers, business analysts, product
managers, and key stakeholders, to define project requirements and deliver actionable insights,
enabling data-driven decisions that supported key strategic initiatives.
Junior Lead Analyst
Coronis Ajuba Solutions
Chennai
03.2020 - 04.2024
Led a team of data analysts in the execution of data-driven strategies focused on Revenue Cycle
Management (RCM), collaborating with cross-functional teams to optimize processes
This initiative
resulted in a 25% increase in actionable insights, improving decision-making and driving enhanced
operational efficiency across the organization
Analyzed a large dataset of US healthcare claims, identifying key trends and insights that led to a 30%
increase in revenue from insurance claims by optimizing claims processing and identifying new
opportunities for reimbursement
Monitored and analyzed key RCM KPIs including Clean Claim Percentage, Days in AR, Deposit Logs,
and Reconciliation, using advanced data analytics to identify trends and improve financial
performance
Provided actionable insights that led to a 15% improvement in claim processing
efficiency and a 10% reduction in Days in AR, enhancing overall revenue cycle operations
Developed and maintained interactive Power BI dashboards and reports to track key RCM KPIs,
including Reconciliation and other critical financial metrics
Provided real-time insights that empowered
stakeholders to make data-driven decisions, improving operational efficiency and financial
performance across the organization
Collaborated with cross-functional teams and stakeholders to define RCM goals and KPIs, delivering
actionable insights that improved operational efficiency and revenue cycle performance.
Education
BE - Electronics and communication Engineering
Anna University
Chennai
05.2016
Skills
Advanced SQL
Python for Data Analysis
Advanced Excel
Power BI
Lucid Chart
Data Modeling & ETL Processes
Revenue Cycle Management (RCM)
Cloud Platforms (Azure)
Jira & Confluence
KPI Development & Tracking
Microstrategy
Machine Learning Algorithms
Data visualization and presentations
Data analysis
Excel functions
SQL
Data cleaning
SQL databases
ETL processes
Work Preference
Work Type
Full Time
Important To Me
Career advancementWork-life balanceCompany Culture