Rakshita
Sharma
Healthcare data analyst bridging clinical domain knowledge with Python, SQL, Power BI and machine learning to build high precision automation at enterprise scale.
[ Toolkit ]
// THE.STACK[ Project_Dashboards ]
COUNT: 13 / 13// BIO.MD
Clinical context.
Data precision.
I started in healthcare as a college topper at Rajasthan University of Health Sciences, then pivoted into healthcare data — processing 500+ daily medical claims with ICD-10/CPT coding at 99%+ accuracy.
Today I build automated reporting systems and ML pipelines that turn messy clinical, retail and financial datasets into decision ready insight.
- ▸ Healthcare RCM analytics
- ▸ Workflow & reporting automation
- ▸ ML model prototyping
- ▸ Executive dashboard design
- ▸ Data quality & audit
- ▸ Predictive modeling
Scaling automation pipelines at AGS Health while completing a Data Science bootcamp covering Tableau, advanced ML and applied analytics. Open to data analyst, BI developer and ML engineering roles in product, healthtech and fintech.
// EXPERIENCE
Medical Coder → Data & Process Analyst
99%+ accuracy on 500+ daily claims (Envision, USAP). Built automation eliminating 40 hrs/week of manual reporting and improved first-pass approvals by 12%.
Quality Assurance Intern
100% GMP/ISO compliance across validation protocols. Conducted V&V exercises on SAP systems ensuring cross-functional data integrity.
Healthcare Operations Intern
Built data analysis reports surfacing operational trends and clinical patterns for senior decision-makers.
// EDUCATION
Data Science Bootcamp
Excel, Power BI, SQL, Python, Statistics, EDA. In progress: Tableau, ML and advanced analytics.
Bachelor of Pharmacy (B.Pharm)
College topper for two consecutive years. Presented research on nanoparticle drug delivery at the SKIP Global Conference 2019.
- ▸ Hackathon Winner — Data Storytelling Excellence
- ▸ Academic Topper, two consecutive years
- ▸ International Research Presenter, SKIP 2019
- ▸ 99% efficiency gain at AGS Health
[ Certifications ]
PROTECTED · 12 CREDENTIALSCertificates are sealed. Recruiters and verifiers can request access — once approved, a secure preview link is shared by email.
Ready to scale?
Available for data analyst, BI developer and ML engineering roles in high precision environments.