Summary
Overview
Work History
Education
Skills
Certification
Capstone Projects
Timeline
Generic

Mounika Thodetolu

Oak Creek,WI

Summary

Results-driven professional with experience at Sutherland as an Associate Transaction Processor. Expert in SQL and proficient in Tableau, I enhanced provider onboarding efficiency and resolved credentialing issues through collaboration. My commitment to compliance and quality assurance significantly improved provider satisfaction and streamlined processes within the healthcare network.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Associate Transaction Processor

Sutherland
Hyderabad, Telangana
11.2020 - 06.2023
  • Verified and processed credentialing for healthcare providers, ensuring compliance with licensing, certification, and registration standards for a high-quality provider network.
  • Conducted thorough evaluations to approve or disapprove of providers, supporting the health plan’s commitment to member safety and care quality.
  • Maintained accurate records and documentation, reducing errors, and improving the efficiency of provider onboarding.
  • Collaborated with cross-functional teams to resolve credentialing issues, improving turnaround time and provider satisfaction.
  • Assisted in streamlining credentialing processes, contributing to a more efficient and compliant network management system.

Education

Master of Science - Business Analytics

Concordia University
Mequon, WI
05.2025

Bachelor of Commerce - Computers

Aurora Degree College
Hyderabad, Telangana
05.2019

Skills

  • SQL
  • Python
  • MS Project
  • MS SharePoint
  • Tableau
  • Power BI
  • Microsoft Excel

Certification

  • PL-300 Microsoft Certified Power BI Data Analyst Associate
  • Google Data Analytics Professional Certificate
  • Tableau-certified Data Analyst

Capstone Projects

  • Global Cybersecurity Threats 2015-2024, 03/01/25, 04/30/25, Analyzed global cybersecurity threat data from 2015 - 2024 to identify trends in attack types, affected industries and financial impacts., Built and evaluated predictive models using Random Forest and Logistic Regression, with Random Forest showing higher accuracy in forecasting financial losses., Provided strategic recommendations for model deployment, emphasizing phased implementation and continuous monitoring to address evolving risks.
  • Case study on Nike sales 2024, 01/01/25, 03/31/25, Analyzed Nike sales data using Python and Tableau to identify key trends across regions, product categories, and sales channels using the OSEMN framework., Developed data visualizations and predictive models to evaluate revenue drivers and enhance decision-making, achieving an R² score of 0.91 for revenue prediction.
  • Supply Chain Dataset, 03/01/24, 05/31/24, Conducted data analysis using a Kaggle supply chain dataset to examine how shipping and manufacturing costs influence product pricing across regions., Utilized descriptive and explanatory methods, statistical thinking, and visual storytelling in Tableau to uncover trends and communicate insights on cost drivers.

Timeline

Associate Transaction Processor

Sutherland
11.2020 - 06.2023

Master of Science - Business Analytics

Concordia University

Bachelor of Commerce - Computers

Aurora Degree College
Mounika Thodetolu