Nirdesh Jung Pandey

[email protected] • +977 9869244330 • kapan-10, Kathmandu , Bagmati Province , Nepal
LinkedIn: nirdeshjungpandey • GitHub: nirdesh15

PROFESSIONAL SUMMARY

Detail-oriented ETL Developer with hands-on experience in SQL Server, MySQL, SSIS, Oracle, and Python, dedicated to optimizing data integration and transformation processes. Proven ability to design and implement efficient ETL workflows that improved data accuracy and reduced processing time during internship projects. Skilled collaborator who effectively communicates with cross-functional teams to deliver scalable data solutions aligned with business objectives. Committed to leveraging technical expertise and problem-solving skills to drive impactful data management strategies.

WORK EXPERIENCE

Full-Stack Development Intern
01/2024 - 04/2024
TanviTech Pvt. Ltd.
• Collaborated on full-stack development using Java Spring Boot for backend services and React.js for responsive, user-friendly frontend interfaces
• Optimized MySQL schema performance through strategic normalization and indexing, improving query efficiency and data integrity
• Developed and tested data-driven application features integrated with RESTful APIs to ensure seamless communication between services
• Participated in CI/CD pipelines, contributing to automation, testing, and deployment processes to streamline software delivery

EDUCATION

BSc (Hons) in Computing
01/2021 - 01/2024
Islington College, Kathmandu

SKILLS

PROJECTS

Real Estate Management System
Technologies: Spring Boot, React.js, MySQL, JWT Authentication, RESTful APIs, Responsive Web Design, SQL Query Optimization
• Designed and implemented a secure, scalable real estate platform using Spring Boot and React.js, incorporating JWT-based authentication to safeguard user sessions and data integrity
• Developed dynamic property listing features with advanced location-based filtering and optimized MySQL queries to enhance search performance by 30%
• Led end-to-end development including API design, database schema optimization, and responsive UI/UX, resulting in a 25% increase in user engagement and streamlined property management workflows
Data Analytics Projects
Technologies: Python, Pandas, NumPy, Matplotlib, Oracle SQL
• Crop Yield Prediction: Tested and trained a supervised ML model using linear regression through python for agriculture analytics
• Sales Dashboard: Analyzed sales data using Pandas/NumPy and visualized trends with Matplotlib
• College Admin System: Designed normalized schemas and wrote complex queries in Oracle SQL

CERTIFICATIONS

AWS Cloud Foundations
Amazon Web Services
AWS Machine Learning Foundations
Amazon Web Services
Data Analytics
LinkedIn Learning
The Non-Technical Skills of Effective Data Scientists
NASBA
SEO Essential Training
LinkedIn Learning