ANAND KUMAR PANDEY  
Sitare University with SRMU, Lucknow, India  
Education  
B.Tech, Computer Science, Sitare University  
Course Completion - May’27  
Relevant Coursework: Python Programming, Java Programming, Object Oriented Programming Concepts, Advanced Data  
Structures and Algorithms, Artificial Intelligence, Database Management Systems, and Machine Learning, C Programming,  
Search Engine Information Retrieval.  
GPA: 7.85  
Technical Skills  
Programming Languages: Python, Java, JavaScript, C  
Web Technologies: HTML, CSS, Flask, React.js, Django  
Database Management: MySQL, PostgreSQL  
Tools and Technologies: Linux, Pandas, Numpy, Git, GitHub, Flourish, Selenium, Power BI, Matplotlib  
Projects  
Developed a full-stack weather insights platform integrating real-time data scraping, analysis, and visualizations,  
providing weather predictions, air quality insights, and interactive dashboards.  
Tools & Technologies Used: HTML, CSS, JavaScript, Flask, Chart.js.  
Built a full-stack platform for student portfolio creation and recruiter interaction with secure authentication and  
role-based access control. Designed modular, scalable backend APIs and responsive dashboards for efficient profile and  
project management, enhancing user experience and performance..  
Tools & Technologies Used: Node.js, Express, MongoDB, HTML, CSS, JavaScript.  
Developed a full-stack expense management application to track and analyze user spending patterns with category-wise  
insights and interactive charts. Enabled data visualization and report generation for better financial decision-making.  
Tools & Technologies Used: HTML, CSS, JavaScript, Flask, Chart.js, PostgreSQL  
Built a scalable full-stack Resume Analyzer that extracts structured information from PDF resumes using NLP  
techniques. Implemented entity recognition and skill extraction pipelines, and matched resumes with job descriptions  
using cosine similarity to generate automated improvement suggestions.  
Tools & Technologies: Python, NLP, Flask, Scikit-learn, Pandas, PDF Parsing  
Designed a custom programming language interpreter (CALC) in Java with tokenizer and parser support. Enabled  
execution of expressions, conditionals, and loops with efficient memory and error handling.  
Tools & Technologies: Java, OOP, Compiler Design Concepts  
Scholarships  
100% B.Tech CS Scholarship, Sitare Foundation  
100% GAIL Super 100 Scholarship, CSRL  
Aug’24 - Present  
Jul’23 - May’24