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Data Analyst with less than a year in data visualization and web development.
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
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.
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.
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
The candidate scored 94%, indicating excellent proficiency in Java, SQL, and Spring, aligning with senior engineer expectations.
Strengths
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 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