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AI Data Analyst with 1+ years in data quality monitoring, analytics, and AI-enabled automation.
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Data Analyst with 1+ year of experience data quality monitoring, analytics, and dashboard development. Skilled in SQL, Python, Power BI, and Excel for working with large datasets, identifying trends, improving data accuracy, and enabling data-driven decision-making. Experienced in AI-enabled automation workflows for data extraction and reporting.
PES University, Bengaluru
Master of Computer Applications · Data Analytics
August 1, 2023 – June 30, 2025
BIHE, Davangere
Bachelor of Computer Applications
August 1, 2020 – June 30, 2023
ICMR-National Institute of NCD Epidemiology (NINE)
Project Technical Support III (Data Analyst)
October 1, 2025 – Present
India
Dreambuzz Solutions
Software Developer Intern
March 1, 2025 – August 1, 2025
India
Healthcare Data Quality Analytics & Reporting Platform
October 1, 2025 – Present
Developed an end-to-end healthcare data quality analytics platform for Hospital-Based Cancer Registry (HBCR) data, analyzing 100+ variables across multiple healthcare institutions. Built automated data quality assessment workflows on 100,000+ cancer registry records, evaluating completeness, consistency, validity, comparability, and timeliness. Designed and comparative trend reports for hospital-level quality monitoring, improving reporting efficiency and reducing manual analysis. Developed SQL-based validation pipelines to identify duplicate records, missing values, and inconsistencies across large healthcare datasets. Automated PDF and analytical report generation using Python and ReportLab, enabling standardized quality assessment across hospitals. Collaborated with epidemiologists and registry managers to define healthcare data quality KPIs and translate reporting requirements into actionable insights.
Intelligent Medical Data Extraction System
October 1, 2025 – Present
Developed a medical document processing solution for extracting structured information from cancer registry forms and clinical records. Built OCR and ICR workflows using Qwen 2.5V to process printed and handwritten medical data from scanned documents. Integrated Mistral and MedGamma-based LLM workflows for structuring and validating extracted medical information. Automated document processing pipelines, reducing manual data entry efforts and improving extraction efficiency. Performed data validation and preprocessing for downstream analytics and reporting workflows.
Cultural Fit Analysis
The candidate's experience is primarily within healthcare data analytics and AI-driven data extraction, which aligns well with roles requiring domain-specific data analysis. The projects demonstrate a focus on practical application and problem-solving. The breadth of tools and technologies used (SQL, Python, Pandas, Power BI, LLMs, OCR) indicates adaptability and a willingness to learn diverse technologies. The current role as 'Project Technical Support III (Data Analyst)' and the Master's specialization in Data Analytics suggest a clear career path towards data analysis and AI. However, the experience level is relatively junior (1+ year), which might require mentorship in a senior-level role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities in data quality and extraction, and a collaborative approach to defining KPIs. The experience in automating workflows suggests an operational mindset focused on efficiency. However, without direct assessment, further evaluation of communication clarity, teamwork, and adaptability in a fast-paced AI environment is needed.