🟢 Open to work
I turn public health and e-commerce data into clear analysis and interactive dashboards to answer measurement and conversion questions.
Project work covers public health datasets, statistical analysis, interactive dashboards, and e-commerce marketing and conversion analysis from externships with TruBridge and Breaking Games.
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TruBridge · May 2026 · ✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public health datasets, statistical analysis, and interactive dashboards.
Project Focus: Currently working on data projects to optimize business processes.
Data Analysis: Performed EDA on healthcare datasets; identified 3 infection trends and reduced data noise by 10%. AI Integration: Optimized workflows using ChatGPT & Claude; accelerated dashboard and report creation by 40%. Reporting: Created reports for stakeholders; delivered 5+ concrete recommendations for public health.
I turn public health and e-commerce data into clear analysis and interactive dashboards to answer measurement and conversion questions.
I work in data analytics with hands-on experience analyzing public health and e-commerce datasets. I hold a bachelors degree and I am focused on building technical skills in statistical analysis, dashboarding, and conversion-funnel analysis through project-based externships.
Externships
TruBridge Healthcare Data Analytics Externship
Completed · May 2026
Experience
Founder/ Business Analyst
Anu cafe & Cowork, India · 03/22 - 04/25
Junior SAP Consultant
Accenture, India · 10/19 - 01/22
Education
Maharashtra State Board of Technical Education, India
Diploma in Computer Technology · Class of 2016
Savitribai Phule Pune University, India
Bachelor of Engineering (Information Technology) · Class of 2019
Skills
✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public health datasets, statistical analysis, and interactive dashboards.
The work framed a research question and used NHANES as the primary data source, extracting demographics, clinical markers, and lifestyle variables for adults 18–45. Data were cleaned, normalized, and analyzed with statistical checks and visualizations, and findings were compiled into a report and an interactive dashboard. The analysis identified metabolic markers such as HbA1c, systolic blood
I produced a normalized, model-ready NHANES dataset for adults 18–45, statistical visualizations and checks, a research report comparing biomarkers, and a live interactive dashboard mapping risk factors and resource gaps.
Project Focus: Currently working on data projects to optimize business processes.
Data Analysis: Performed EDA on healthcare datasets; identified 3 infection trends and reduced data noise by 10%. AI Integration: Optimized workflows using ChatGPT & Claude; accelerated dashboard and report creation by 40%. Reporting: Created reports for stakeholders; delivered 5+ concrete recommendations for public health.
