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Data Analyst with 1+ years in Data Analysis & ML Engineering
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Data Analyst Intern with proven ability to analyze large-scale datasets using Python and SQL, delivering actionable insights that drive strategic decision-making. Skilled in designing and maintaining Power BI dashboards to track critical KPIs, translating complex data findings into compelling presentations for cross-functional teams. Experienced in engineering and integrating ML and NLP models into applications, managing the complete model lifecycle from data preprocessing to deployment, and developing production-ready solutions that bridge data science with software engineering.
St. Joseph's College Trichy, Bharathidasan University
Master's · Data Science
August 1, 2023 – June 30, 2025
National College Trichy, Bharathidasan University
Bachelor's · Computer Application
August 1, 2020 – June 30, 2023
VDart Technologies Pvt Ltd
Data Analytics Intern
May 1, 2026 – Present
Tamil Nadu, India
VDart Technologies Pvt Ltd
AI & ML Intern
February 1, 2025 – March 31, 2025
Tamil Nadu, India
AI-Powered Healthcare Claims Analytics System
June 5, 2026 – Present
Engineered an end-to-end healthcare claims analytics pipeline processing 50,000+ CMS Medicare records in snowflake using Python and advanced SQL (CTES, Window Functions, Stored Procedures), automating data cleansing, deduplication, and anomaly detection to achieve 98% data accuracy and accuracy and significantly improve claims quality monitoring. Integrated OpenAI GPT-4 for automated insight generation and developed a 3-page Power BI dashboard tracking Total Claims, Denial Rate%, Processing Time, and Regional Trends, reducing manual reporting effort by 60%, Processing Time, and Regional Trends, reducing manual reporting effort by 60% and enabling faster, data-drive decision-making for healthcare stakeholders.
AI-POOL MANAGEMENT & RETARGETING SYSTEM
June 5, 2026 – Present
Developed an AI-based recruitment support system using Machine Learning and NLP to match candidates with job requirements, reducing manual Candidate search effort by 40% and improving shortlisting efficiency by 25%. Extracted and processed candidates data using SQL and Python for Preprocessing, similarity scoring, and retargeting previously screened candidates.
Retail Sales Performance Dashboard
June 5, 2026 – Present
Built a 3-page interactive Power BI dashboard with DAX measures (Revenue YTD, Profit Margin%, MOM Growth%) tracking regional performance and product profitability, using SQL (CTEs, window) for data extraction and Python (Pandas) for cleaning and transformation. Identified top-performing regions and underperforming product categories through trend analysis, delivering actionable recommendation to business stakeholders via automated weekly reports.
Data Quality & Reconciliation Report
June 5, 2026 – Present
Wrote Optimized SQL queries to detect anomalies (missing values, duplicates, outliers) and used Python (NumPy, Pandas) for statistical validation using Z-scores, achieving 99% data accuracy post-cleaning. Built Excel pivot tables with conditional formatting to present reconciliation findings clearly to stakeholders, reducing manual data quality effort significantly.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across healthcare, retail, and recruitment domains, indicating adaptability and a broad interest in solving different business problems. The mention of integrating OpenAI GPT-4 and developing ML/NLP models suggests an interest in leveraging cutting-edge technologies, which aligns with an innovative and forward-thinking culture. The experience as an intern at VDart Technologies, with roles in both Data Analytics and AI & ML, shows a willingness to explore different facets of data science and contribute to various types of projects. The candidate's education in Data Science further reinforces a commitment to the field. However, the experience level is noted as '1', which suggests a junior profile, potentially requiring more mentorship in a senior-level environment.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and problem-solving skills, effective communication, adaptability, and a focus on teamwork and client engagement. These soft skills are crucial for a Data Analyst role, where translating technical findings into business value and collaborating with cross-functional teams is essential. The project descriptions indicate an operational fit through automating reporting, improving data accuracy, and enabling data-driven decision-making.