Data Analyst with 2+ years in Data Analysis, Visualization, and API-based data collection.
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Assessing your cultural and operational fit
MCA student at Pondicherry University with hands-on experience in Data Analysis, Data Visualization, and API-based data collection. Experienced in Python, C, C++, SQL and data processing through academic projects including NFT data analysis using OpenSea API. Skilled in transforming raw data into meaningful insights and seeking an entry-level Data Analyst position.
Pondicherry University
Master of Computer Applications (MCA)
August 1, 2024 – Present
Perunthalaivar Kamarajar Arts College
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
NFT Data Analysis Using OpenSea API
January 1, 2026 – Present
Developed a full-stack NFT Market Analytics Dashboard using Python, Streamlit, Pandas, Plotly, HTML, CSS, and JavaScript. Integrated the OpenSea API to fetch NFT metadata, mint events, sales transactions, transfer records, and trading volume data. Built automated data preprocessing pipelines for cleaning, normalizing, and storing large-scale NFT datasets in structured CSV formats. Analytical modules performed including sales revenue analysis, price trend analysis, time-series analysis, volume analysis, and Top-10 NFT rankings. Designed a responsive dashboard with interactive charts, KPI cards, collection-wise filtering, and real-time visualization for multiple NFT collections.
NFT Data Analysis
January 1, 2025 – December 31, 2025
Analyzed large-scale NFT transaction datasets (70M+ records) from OpenSea using Python, Pandas, NumPy, DuckDB, and Plotly to identify market trends and trading patterns. Built interactive data visualizations and dashboards for transaction volume, total USD price analysis, token-wise comparisons, and correlation heatmaps. Optimized large dataset processing using chunk-based processing, Parquet/CSV handling, and DuckDB for efficient analytics on high-volume blockchain data. Conducted comparative and statistical analysis on NFT trading behavior to uncover insights into market activity, token performance, and price distribution trends.
View ProjectClinic Consultation System
January 1, 2024 – December 31, 2024
Developed a Clinic Consultation System using PHP MVC Framework, MySQL, HTML, CSS, and XAMPP for digital appointment booking, patient management, and doctor consultation workflows. Implemented Admin, Doctor, and Patient modules with features such as appointment scheduling, diagnosis reporting, emergency requests, user authentication, and medical record management. Designed secure relational databases and conducted Unit, Integration, Validation, and System Testing to ensure reliable performance, data accuracy, and reduced manual hospital operations.
The Joy of Computing using Python
NPTEL
January 1, 2025 – Present
Essentials of Computer Science: Basics to Quantum
NIT
January 1, 2025 – Present
Data Analytics with python
NPTEL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis and visualization, aligning well with a Data Analyst role. The diversity of projects, from a clinic system to NFT market analysis, shows adaptability and a willingness to apply skills across different domains. The certifications in Python and Data Analytics further reinforce commitment to the field. However, the lack of professional experience might indicate a need for mentorship and structured guidance in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to manage the full development cycle for dashboards and visualizations, suggesting good project management and independent work skills. Participation in a national-level hackathon implies teamwork and problem-solving under pressure. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.