Over 3 years of experience helping organizations turn raw data into meaningful insights using statistical analysis and clear visual reporting (SQL, Python, R).
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).
Proven ability to lead end-to-end data projects using Agile methodologies in fast-paced environments (Agile, Jira, Documentation).
Overview
3
3
years of professional experience
Work History
HCA Healthcare
United States
07.2024 - Current
Led a medical reporting initiative focused on improving the accuracy and timeliness of revenue reconciliation across distributed business units. The team was facing inconsistencies in ledger entries and claim adjustments, which hindered compliance audits and slowed decision-making.
Extracted and prepared over 750K+ claims, patient history, and lab records using SQL Server to identify billing inefficiencies and chronic care patterns across 10+ healthcare facilities.
Built and maintained Power BI dashboards to visualize denial reasons, claim trends, patient follow-up rates, and lab variances, leading to faster executive decisions.
Conducted trend and risk analysis on high-risk chronic disease patients using R, uncovering 20%+ billing error sources and regional disease hotspots.
Utilized Azure Data Factory to automate the extraction, transformation, and loading (ETL) of large-scale healthcare data, reducing manual intervention by 30% and ensuring timely data availability for reporting and analytics.
Validated 50K+ claim records using Excel (pivot tables, lookups, Power Query) to ensure accurate CPT/ICD coding and delivered early-stage prototype reports to stakeholders.
Led Agile sprints using Jira and Confluence, with full backlog grooming, sprint goal tracking, and version-controlled documentation.
Delivered automated reports that reduced claim denials by 18% and enabled doctors to identify 25% more patients needing proactive follow-up, boosting care coordination.
Experion Technologies
India
06.2020 - 07.2022
Worked on a loan analytics initiative to optimize approval pipelines and reduce early-stage delinquencies for personal and small business loan products using the Waterfall delivery model.
Extracted and cleaned over 500K+ application and repayment records using MySQL to evaluate constraints in processing stages, approval trends, and document verification delays.
Designed 10+ Tableau dashboards tracking loan application lifecycle from submission to disbursal including SLA adherence, approval time metrics, and credit score distribution.
Conducted A/B testing on new credit rule implementations across user segments to measure impact on approval rates, loan size distribution, and default risk.
Leveraged Python (Pandas, Scikit-learn) to build predictive models estimating applicant risk and repayment likelihood, contributing to more personalized offer strategies.
Used Excel with Power Query and advanced formulas to automate document exception checks and reduce manual verification work for underwriters.
Defined and tracked key loan KPIs in collaboration with compliance and operations teams such as approval ratio, processing lead time, and flagged application percentage.
Insights from dashboards and experiments led to a 15% reduction in processing delays and a 10% decrease in early-stage delinquencies across two quarters.
Education
MS - Data Science
Lewis University
05.2024
Coursework: Data Visualization, Data Mining and analytics, Database Systems, Multivariate Data Analysis, Statistical Programming, Large Scale Data Storage System, Unsupervised Machine Learning
GPA: 3.61/4.0
Skills
Data Analysis
Scripting
Python
Pandas
NumPy
Seaborn
Matplotlib
R
Dplyr
Ggplot2
Databases
Query Languages
SQL
MySQL
PostgreSQL
Microsoft SQL Server
Oracle SQL Developer
Cloud Technologies
Azure
ADF
Data Bricks
Business Intelligence
BI
Power BI
Tableau
Statistical Modeling
Predictive Modeling
Regression Analysis
Correlation Analysis
Classification Models
Risk Scoring
Data Visualization
Interactive Dashboards
Heatmaps
Line Graphs
Pivot Charts
Data Cleaning
Data Transformation
Excel
Advanced Formulas
Power Query
Pivot Tables
VLOOKUP
Data Wrangling
Project Tools
Documentation Tools
Jira
Confluence
MS Project
Healthcare Data Knowledge
EHR Systems
Claims Data
Billing Data
CPT Codes
ICD-10 Codes
Chronic Disease Metrics
Publications
Enhancing the Security for Smart Card-Based Embedded Systems, G. Kalyana Abenanth, K. Harish, V. Sachin, A. Rushyendra, N. Mohan Kumar, 2021-09-01
Work Preference
Work Type
Full Time
Work Location
On-SiteRemoteHybrid
Important To Me
Work-life balanceCareer advancementPersonal development programs