Prasiddha Jung K.C.
Data Entry Associate
*************@*****.*** +977-9861363613 Patan, Lalitpur
Profile
Detail-oriented and organized professional with experience in data entry, backend development, and analytics. Seeking a Data Entry Associate position to leverage my strong data management skills, analytical mindset, and experience working with large datasets in a fast-paced environment. EXPERIENCE
Data Entry Operator, National Statistics Office, formerly Central Bureau of Statistics At the Central Bureau of Statistics in Kathmandu, I improved data entry efficiency and accuracy, ensuring reliable datasets through CSPro software. Collaborating with diverse teams enhanced my communication and teamwork skills in a professional setting. Worked with 2078 Population Census and Agricultural Census data.
02/2022 – 05/2023
Kathmandu, Nepal
EDUCATION
Bachelors of Science in Computer Science and Information Technology, Patan Multiple Campus, Tribhuvan University (IOST) 11/2019 – 10/2023
Lalitpur
SKILLS
Comfortable working with MS Office: MS Word, MS
Excel, Powerpoint
Attention to Detail, Problem Solving and
Adaptability
Google Sheets, Docs, Data Entry & Management
Strong organization and consistency, Canva
LANGUAGE
Nepali English Hindi
TRAINING/CERTIFICATIONS
Full stack web development - MERN Stack, Deerwalk Training Center Got the needed knowledge and skills on full stack web development which uses MERN ( MongoDB for Database, Express.js, React.js for frontend and Node.js for backend) also used Postman for manual testing.
2024
PROJECTS
National Population Census 2021
Firstly, worked as a enumerator for the field surveying of National Population Census 2021 data manually on the paper questionnaire booklets and then, later as a data entry operator for the entry of the same data from the several other booklets accurately and efficiently which was increased by 15%. National Agricultural Census 2021
Worked as a data entry operator for the entry of the National Population Census 2021 data from the several data booklets, increasing the accuracy and efficiency of entered data by 17%.