Summary
Overview
Work History
Education
Skills
Project
Accomplishments
Timeline
Generic

Shamili Kandepu

VA

Summary

A highly experienced healthcare professional with over three years of expertise in medical claims review, processing, and rework adjustments, ensuring compliance with Medicare, Medicaid, and insurance policies. Adept at evaluating insurance claims, verifying eligibility, and resolving discrepancies with precision and efficiency. Possesses in-depth knowledge of ICD-9/ICD-10 coding, CMS 1500 & UB forms, and benefits summary analysis. Skilled in inpatient medical coding with a proven track record of enhancing accuracy and compliance. Proficient in advanced coding software, EHR systems, and claims management platforms, with strong analytical and problem-solving abilities. A dedicated and adaptable professional committed to optimizing operational performance and delivering high-quality outcomes in both individual and collaborative settings

Overview

7
7
years of professional experience

Work History

Claim Analyst

sagiant tech solution
Austin, TX
07.2024 - Current
  • Identified and corrected billing discrepancies by analyzing claim data and coordinating with healthcare providers.
  • Analyzed denied and pended claims, providing data-driven solutions to improve claim approval rates.
  • Accurately entered claims data, patient details, and billing codes into the claims management system, maintaining high data integrity.
  • Ensured compliance with HIPAA, insurance policies, and regulatory requirements while processing claim documents.
  • Processed medical claims with precision, ensuring compliance with company SOPs, insurance policies, and federal regulations.
  • Provided comprehensive claim assistance to patients, healthcare providers, and payers, resolving inquiries with professionalism.
  • Used Excel functions (VLOOKUP, Pivot Tables, and data validation) for claims analysis and reporting.
  • Reviewed and processed insurance claims for accuracy and validity, ensuring compliance with insurance policies and regulatory requirements.
  • Investigated discrepancies, resolved disputes, and performed rework adjustments based on provider requests and internal requirements.
  • Applied knowledge of ICD-9 and ICD-10 coding in the claims review process to validate claims accuracy and compliance.

Data Analyst Intern

Vervenest Technologies
Atlanta, GA
02.2023 - 05.2025
  • Collected, cleaned, and pre-processed data from various sources (databases, spreadsheets, APIs) to ensure accuracy and consistency.
  • Assisted in analyzing large datasets using statistical tools such as Excel, Python, or R to identify patterns, trends, and insights. • Developed data visualizations (graphs, charts, dashboards) using tools like Tableau, Power BI, or Matplotlib to communicate findings effectively to non-technical stakeholders.
  • Documented data analysis processes and findings, ensuring transparency and reproducibility for future use by the team.
  • Stayed up-to-date with emerging tools and techniques in data analysis and analytics to contribute effectively to the team.

Medical Coding and Risk Adjustment Specialist

Corrohealth
Hyderabad, Telangana
06.2020 - 07.2022
  • Abstract health information and assign the specified code referring to the ICD-9-CM and ICD-10-CM coding books.
  • Comprehend HCC/Risk Adjustment medical records for every assigned process.
  • Meet monthly coding goals as set by the management, and perform changes as and when required, as per the guidelines.
  • Monitor weekly, monthly, and quarterly submission error reports to ensure that abstracts are corrected and resubmitted.
  • Perform audits, studies, and research on codes against each diagnosis to support supervisors.
  • Electronically abstract clinical information from the patient’s record according to current guidelines.
  • Enhanced coding accuracy by regularly reviewing and updating coding guidelines and procedures.

Quality Control Analyst Intern

Vins Bioproducts
Hyderabad, Telangana
04.2018 - 06.2018

Studies on the expression of toxins by Clostridium novyi

  • Our study describes the production, purification, and properties of alpha-toxin in Clostridium novyi. The bacterium produced maximal amounts of alpha-toxin when grown at 37 degrees C.
  • The culture conditions for toxin production by Clostridium novyi were investigated, and the optimal constituents of a proper medium were determined. A comparison of the value of this medium with other media regarding toxin production by wild strains of C.
  • The new type A revealed that, in this TYG medium, the organism could produce more consistent yields of potent toxins than in the other media. The following results examined the toxigenicities of strains isolated under various conditions in the above-mentioned medium.

Education

Master of Science - Health Informatics

Grand Valley State University
Allendale, MI
05-2024

Bachelor of Science - Biotechnology

Sri Padmavathi Mahila Viswavidyalayam
Tirupati
04-2020

Skills

  • Claims processing: expertise in medical claims review and verification, including Medicare, Medicaid, and commercial insurance claims
  • Coding: ICD-9 and ICD-10 coding proficiency
  • Rework and adjustment: Experience in rework adjustments for Medicare and Medicaid claims
  • Documentation review: Strong ability to analyze medical records, benefit summaries, and claims documents for accuracy and completeness
  • Customer service: Excellent verbal and written communication skills for engaging with customers, healthcare providers, and internal stakeholders
  • Claims Management Systems: Proficient in using claims management systems and Microsoft Office (Outlook, Word, Excel)
  • Regulatory Knowledge: In-depth understanding of Medicaid and Medicare eligibility, terms such as copay, coinsurance, deductible, and out-of-pocket
  • Programming languages: Python, SQL, and R

Project

From Steps to Strides: Deciphering Activity Patterns Using Wearable Device Data

  • Leveraged machine learning models to classify physical activity data from wearable devices, aiming to enhance health monitoring and patient care.
  • Utilized the Activity Recognition System dataset to develop and evaluate models including Random Forest, SVM, and Gradient Boosting.
  • Achieved an accuracy of 79.69% with the Gradient Boosting model for activity classification. Demonstrated the potential of machine learning applications in wearable health devices for real-time activity recognition and patient care.
  • Proposed future integration of deep learning models to further improve real-time health analytics and classification accuracy.

Accomplishments

  • Best Medical Coder Award
  • Won 1st prize in the National Seminar on Nanotechnology and Aquaculture Technologies
    Topic: Heavy metal's impact on aquatic animals.

Timeline

Claim Analyst

sagiant tech solution
07.2024 - Current

Data Analyst Intern

Vervenest Technologies
02.2023 - 05.2025

Medical Coding and Risk Adjustment Specialist

Corrohealth
06.2020 - 07.2022

Quality Control Analyst Intern

Vins Bioproducts
04.2018 - 06.2018

Master of Science - Health Informatics

Grand Valley State University

Bachelor of Science - Biotechnology

Sri Padmavathi Mahila Viswavidyalayam
Shamili Kandepu