Data Analyst with less than a year in data visualization and web development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA student and aspiring Data Analyst with hands-on experience in data visualization, dashboard development, data analysis, SQL, Python, Excel, Tableau, Power BI, Pandas, NumPy, Matplotlib, and scikit-learn. Skilled in creating interactive dashboards, analyzing sales trends, building KPI reports, performing data cleaning, deriving business insights, and presenting data stories. Also experienced in web development, AI/ML projects, database management, and analytical problem-solving.
CMR University
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
D.K. College
Bachelor of Science (B.Sc.)
August 1, 2020 – June 30, 2023
RevonextSoft Technologies Pvt. Ltd.
Frontend Developer Intern
October 1, 2025 – December 1, 2025
India
RestCoder Academy
MERN Stack Developer Intern
August 1, 2025 – September 1, 2025
India
Employee Management System
June 1, 2026 – Present
• Developed a database-driven employee management application for storing and managing employee records. • Implemented CRUD operations, search functionality, form validation, admin dashboard, and SQL Server connectivity.
Interactive Sales Dashboard and Data Stories
June 1, 2026 – Present
• Developed interactive Tableau dashboards using a sales dataset to analyze sales, profit, orders, quantity, regions, categories, and customer segments. • Created KPI cards, sales trend charts, profit trend charts, regional maps, category analysis, product performance views, and customer segmentation dashboards. • Implemented filters, parameters, dashboard actions, calculated fields, profit margin, year-over-year growth, running total, and performance category logic. • Built a Tableau data story to communicate business insights such as regional performance, product profitability, seasonal trends, and customer segment patterns.
View ProjectAI-Based Phishing Detection Web Application
June 1, 2026 – Present
• Developed a machine learning-based web application to detect phishing URLs, suspicious email content, and uploaded files. • Used Pandas, NumPy, and scikit-learn for data preprocessing, feature extraction, model training, prediction, and accuracy evaluation. • Implemented scan history, threat scoring, risk classification, authentication, admin dashboard, and report generation using Flask and SQLite.
NPTEL – The Joy of Computing Using Python
NPTEL
January 1, 2025 – Present
C Programming
Caddesk
January 1, 2024 – Present
The candidate scored 35%, indicating a foundational lack in core Java development, testing, and build automation skills as assessed by this specific test.
Limitations
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying diverse technologies, including MERN stack, Python for AI/ML, and .NET for database applications. This breadth of exposure suggests adaptability and a willingness to tackle various technical domains. The focus on data analysis and visualization projects aligns well with a Data Analyst role, indicating a genuine interest in the field. The experience, though primarily academic and internship-based, shows collaboration through version control (Git/GitHub).
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack web development to AI-based applications and data visualization. The psychometric test score (345/500) suggests a moderate level of logical reasoning, work attitude, and stress handling, which could be further explored. The English test score (87/100) indicates good communication clarity and professional language usage.
The candidate scored 94%, indicating excellent proficiency in Java, SQL, and Spring, aligning with senior engineer expectations.
Strengths
The candidate scored 94%, indicating a very strong grasp of Data Science and Artificial Intelligence principles and applications.
Strengths
The candidate scored 100%, demonstrating complete mastery of Power BI skills as evaluated by the test.
Strengths