Data Analyst with less than a year in data modeling, visualization, and AI applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Power BI, and Advanced Excel with experience handling 100K+ record datasets. Strong in data modeling, ETL pipelines, exploratory data analysis (EDA), KPI dashboards, stakeholder reporting, and business intelligence. Experienced in data cleaning, statistical analysis, forecasting, and Generative AI applications for analytics workflows.
Dhanalakshmi Srinivasan Engineering College
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Unknown
Higher Secondary Education · Science Stream
N/A – May 31, 2021
Smollan Private Limited
Business Analyst Intern
December 1, 2025 – Present
India
AI-Driven Mental Health Assessment
June 1, 2026 – Present
Developed an NLP-based sentiment classification model with 85% accuracy. Implemented preprocessing, feature extraction, and model evaluation workflows. Explored Generative AI techniques for enhanced insight generation.
SQL Data Warehouse & Business Analytics
June 1, 2026 – Present
Architected a Medallion (Bronze-Silver-Gold) data pipeline processing 1M+ transactions. Built 8 KPI dashboards using Power BI and Advanced Excel. Optimized SQL queries, reducing retrieval time by 40%.
View ProjectBank Loan Risk Analysis Dashboard
June 1, 2026 – Present
Analyzed 50,000+ loan records using SQL and Advanced Excel. Built an interactive Power BI dashboard with drill-down analytics. Generated insights projected to reduce bad loans by 12%.
Visualization with Power BI
Unknown
June 1, 2026 – Present
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Generative AI Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse data analysis techniques, including AI/ML. The range of projects (mental health, banking, general business analytics) suggests adaptability and a broad interest in problem-solving using data. The certifications in AWS, Power BI, Python, and Generative AI indicate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The current internship as a Business Analyst further strengthens the alignment with a data-driven role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights and track key business metrics, which are crucial for operational fit. The internship experience further supports this by mentioning gathering cross-functional requirements and delivering insights. However, direct evidence of soft skills like teamwork or leadership is limited to project descriptions.