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Data Analyst with less than a year in Data Visualization & Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst proficient in Python, SQL, and data visualization, passionate about uncovering actionable insights through hands-on projects. Seeking to enhance my skills and deliver impactful, data-driven solutions in a dynamic environment.
Vivekanandha College of Technology for Women
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Government Higher Secondary School, Periyamanali
HSC
June 1, 2021 – May 31, 2022
Government Higher Secondary School, Periyamanali
SSLC
June 1, 2019 – May 31, 2020
Infosys Springboard
Data Visualization Intern – Infosys Springboard | Virtual Internship
February 1, 2026 – March 31, 2026
India
Global Quest Technologies
Data Analyst Intern – Global Quest Technologies
January 1, 2026 – April 30, 2026
India
Credit Risk & Customer Financial Behavior Analytics System
June 17, 2026 – Present
Analyzed customer financial behavior to identify credit risk patterns. Performed data preprocessing and analysis using Python.
Global Income Distribution and Inequality Analysis Platform
June 17, 2026 – Present
Developed a platform to analyze global income distribution using Python. Built interactive dashboards using Power BI and developed a Streamlit application.
Real-Time Stock Price Monitoring & Notification Web Application
June 17, 2026 – Present
Developed a system to track and analyze real-time stock market data for better decision-making. Implemented notification features to provide timely stock updates.
Python
GeeksforGeeks
June 1, 2026 – Present
Python for Data Analysis
Simplilearn
June 1, 2026 – Present
SQL
Simplilearn
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation
Accenture - Forage
June 1, 2026 – Present
The candidate scored 53% on the 'Data Scientist — Artificial Intelligence' test, indicating a basic understanding but significant areas for improvement in core data science and AI concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in data analysis and problem-solving, which aligns well with a data-driven culture. The diversity of projects (financial behavior, global income, stock monitoring) shows a breadth of application interest. However, the experience level is entry-level (0 years), and the target role is 'Data Analyst', while the completed test was for 'Data Scientist — Artificial Intelligence', indicating a potential mismatch in expected technical depth for advanced AI roles. The candidate's focus on practical application through projects and internships suggests a willingness to contribute and learn within a team.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and skill development through certifications and academic projects. The objective statement highlights a passion for uncovering actionable insights and delivering data-driven solutions, suggesting a good operational fit for a data-centric role. However, the psychometric test score of 243/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit.