Abhijna Sahadeva

Associate Consultant

Pittsburgh, Pennsylvania, United States3 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in healthcare analytics and IT solutions.
  • Proven track record in data analysis and visualization.
  • Strong leadership and mentoring experience in academic settings.
Stackforce AI infers this person is a Healthcare Data Analyst with strong technical skills in data management and analytics.

Contact

Skills

Core Skills

Data AnalysisData VisualizationPythonLeadershipTutoringMentoringMathematics EducationHealthcare Revenue Cycle Management (rcm)Electronic Health Records (ehr)DevopsSupply Chain ManagementSqlMachine Learning

Other Skills

AnalyticsPandasSoftware Development Life Cycle (SDLC)Adaptive TeachingTime ManagementCommunicationStudent EngagementeClinicalWorksPostgreSQLData Analysis & VisualizationQuality Metrics & Population Health AnalyticsClaims Data Analysis & ReportingMicrosoft ExcelFast Healthcare Interoperability Resources (FHIR)PySpark

About

I am a graduate student at Carnegie Mellon University, studying Health Care Analytics and Information Technology. My interest lies in using data to solve problems in healthcare and create meaningful improvements for patients and systems. Before starting my master’s, I worked in healthcare IT, where I focused on tasks like creating synthetic patient data, developing queries and dashboards for clinical quality measures and performing data mapping for system modernizations. During this time, I also worked on individual projects related to healthcare analytics, which allowed me to explore how data can be used to address the challenges in healthcare. At CMU, I am enhancing my expertise about using analytics and technology to make better decisions in healthcare. Some of my recent work includes analyzing healthcare payment data, exploring trends in physician compensation and healthcare expenditures. I am actively seeking full-time job opportunities as a data analyst, data engineer or data scientist in the healthcare sector, where I can contribute to projects that use data to improve healthcare outcomes.

Experience

3 yrs 2 mos
Total Experience
11 mos
Average Tenure
4 mos
Current Experience

Carnegie mellon university

3 roles

Graduate Teaching Assistant

Jan 2026Present · 4 mos · On-site

  • Course: Health Information Systems
  • Instructor: Professor Rema Padman
  • Support Professor Padman with course delivery, student coordination, and day-to-day course operations
  • Mentor and support students in understanding health information systems concepts through office hours and individualized guidance
  • Provide project guidance, helping students apply course concepts to real-world healthcare and health IT scenarios
  • Assist with and facilitate recitation sessions to reinforce key topics and assignments
  • Evaluate assignments and exams, providing timely and constructive feedback

Graduate Teaching Assistant

Oct 2025Jan 2026 · 3 mos · On-site

  • Course: Exploratory Data Analysis & Data Visualization with Python
  • Instructor: Professor Michael Simko
  • Work with Professor Michael Simko to support graduate students in core concepts of data analysis and visualization using Python.
  • Hold office hours and provide one-on-one guidance to clarify concepts, troubleshoot assignments, and strengthen analytical thinking.
  • Grade quizzes and reinforce best practices in data exploration, visualization, and interpretation.
Data AnalysisData VisualizationAnalyticsPython

Graduate Teaching Assistant

Oct 2025Jan 2026 · 3 mos · On-site

  • Course: Data Focused Python
  • Instructor: Professor Carly Harris
  • Work with Professor Carly Harris to support graduate students in strengthening their programming and problem-solving skills using Python.
  • Provide one-on-one guidance during office hours to help students with assignments, debugging, and understanding key programming concepts.
  • Support students with their projects to apply course concepts and build well-structured Python applications.
  • Evaluate and grade project submissions and assignments, ensuring consistency with course rubrics and learning objectives.
  • Reinforce best practices in coding style, modularity, testing, and data handling.
PythonData AnalysisPandasSoftware Development Life Cycle (SDLC)

Plus tutoring

2 roles

Lead Tutor

Dec 2025Present · 5 mos

  • Lead and supervise math tutoring sessions for middle school students, coordinating instruction within a collaborative session setting
  • Teach students directly using personalized and interactive learning approaches
  • Adapt instruction based on student progress and learning needs
  • Foster a supportive and engaging environment that builds student confidence and strengthens math skills
LeadershipTutoringAdaptive TeachingTime ManagementMathematics Education

PLUS Tutor

Jan 2025Nov 2025 · 10 mos

  • I'm a tutor at PLUS - Personalized Learning Squared, where I help middle school students develop their math skills in an engaging and interactive way. Through personalized instruction, I aim to make learning fun while supporting students from historically underserved communities.
MentoringMathematics EducationAdaptive TeachingCommunicationTime ManagementStudent Engagement

Pandora family medicine

Healthcare Delivery and Reimbursement Analyst

Jun 2025Aug 2025 · 2 mos · Hyattsville, Maryland, United States · On-site

  • Key highlights:
  • Analyzed claims and reimbursement data in eClinicalWorks and created SQL-based eBO reports to identify denials, underpayments, and missed reimbursements, improving revenue recovery.
  • Developed and automated daily operational reports for appointments, copays, and write-offs, reducing manual work and enhancing billing efficiency.
  • Built a Python + Excel + PostgreSQL-based tool to map CPT, HCPCS, and ICD-10 codes with payer fee schedules, improving coding accuracy and financial visibility.
  • Designed population health and vaccine inventory reports to track preventive care gaps and support better patient outreach.
  • Evaluated payer quality incentive programs and established baseline quality metrics to optimize provider performance and maximize potential reimbursements.
Healthcare Revenue Cycle Management (RCM)eClinicalWorksPostgreSQLData Analysis & VisualizationPythonQuality Metrics & Population Health Analytics+3

314e corporation

2 roles

Software Engineer

Aug 2022Jun 2024 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

  • Mapped patient electronic health records (EHRs) to FHIR resource fields, ensuring accurate data extraction and seamless integration.
  • Crafted SQL queries and designed dashboards to assess healthcare clinical quality metrics, improving decision-making and reporting accuracy for providers and administrators.
  • Implemented Apache's NLP library to standardize patient data, addressing inconsistencies and ensuring reliable data for analysis.
  • Collaborated on an ETL project focused on streamlining patient archival data, prioritizing standardization and data validation.
Fast Healthcare Interoperability Resources (FHIR)PySparkApache SupersetSQLPython (Programming Language)Electronic Health Records (EHR)+9

Software Engineer Intern

Jan 2022Jun 2022 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Facilitated the configuration of JumpCloud to improve user identity and access management, streamlining secure access across systems.
  • Generated synthetic patient data in FHIR format to test and validate archival products, ensuring data integrity and consistency in patient data management.
  • Contributed to the creation of a few Docker scripts to automate basic workflows, enhancing deployment efficiency.
DevOpsFast Healthcare Interoperability Resources (FHIR)DockerPython (Programming Language)Python

Bosch

Data Analyst Intern

Aug 2021Oct 2021 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Enhanced supply chain operations by identifying and resolving missing invoices in SAP-to-Azure data transfers using SQL and Python.
  • Developed and implemented a pop-up alert system to notify users of missing invoices during data loading, improving workflow efficiency and accuracy.
Supply Chain ManagementSQLPython (Programming Language)Microsoft AzureMicrosoft Excel

Knowledge solutions india

Machine Learning Intern

Jul 2020Aug 2020 · 1 mo · Remote

  • Developed a machine learning model to predict university admission probabilities based on key factors like GRE scores, CGPA, and research experience.
  • Performed data preprocessing and feature engineering, followed by model training and evaluation using multiple algorithms and PCA for improved accuracy.
  • Designed visualizations to present model results and insights clearly, supporting data-driven decision-making.
Machine LearningData PreparationData AnalysisData VisualizationPython (Programming Language)

Education

Carnegie Mellon University - Heinz College of Information Systems and Public Policy

Master of Science - MS — Health Care Analytics and Information Technology

Aug 2024May 2026

SJB Institute of Technology

Bachelor of Engineering - BE — Computer Science & Engineering

Jan 2018Jan 2022

Bangalore International Academy

Higher Secondary

Jun 2016Jul 2018

JSS Public School

Senior Secondary

Jun 2007Mar 2016

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