Sai

Data Analyst with 6 months of experience analyzing healthcare operations data and building machine learning solutions. Proficient in Python, SQL, Tableau, and data visualization, with hands-on experience in data cleaning, exploratory data analysis, feature engineering, predictive modeling, and Generative AI using RAG pipelines. Passionate about transforming data into actionable business insights.

Data and Operations Intern at Smilebook Dental (2026-01 – 2026-06)

• Managed and maintained 300+ patient records, 1,000+ appointment records, and 1,000+ payment records using Python, pandas, and SQL to support accurate operational reporting.
• Designed CSV-based relational data systems using unique identifiers to integrate patient, appointment, treatment, and payment data for efficient tracking and reporting.
• Performed data cleaning and standardization on 6 months of healthcare data by handling duplicates, missing values, and inconsistent entries to improve data quality.
• Generated 4 weekly operational reports each month using Python, SQL, and Tableau to analyze patient trends, appointment tracking, treatment performance, and revenue.
• Monitored 4 key business KPIs, including patient visits, appointment no-show rates, treatment-wise revenue, and payment trends to support data-driven operational decisions.

Post Graduate Program in Data Science – Great Lakes Institute of Management (2025-02 – 2026-02)

Bachelor of Technology in Computer Science – Gurunanak Institutions Technical Campus (2020 – 2024)

Intermediate in Class XII – Narayana Junior College (2018 – 2020)

Secondary in Class X – Narayana Techno School (2018 – 2018)