Data Analyst with less than a year in Data Analysis & Visualization
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Master of Data Science student at RMIT University with a Bachelor's degree in Computer Science and Information Technology. Experienced in data analysis, reporting, and dashboard development through internship and academic projects. Skilled in Python, SQL, Excel, Power BI, and Tableau for data extraction, cleaning, transformation, analysis, and visualisation. Strong in exploratory data analysis (EDA), statistical analysis, KPI reporting, and building dashboards to support business decision-making. Strong attention to detail with experience working with structured datasets and maintaining data accuracy. Kaggle Dataset Expert with published datasets recognised through community engagement and Silver Medals
RMIT University
Master of Data Science · Data Science
August 1, 2026 – June 30, 2028
Orchid International College
Bachelor of Science · Computer Science and IT
August 1, 2021 – June 30, 2025
Ideapreneur Nepal Pvt. Ltd.
Data Analyst Intern
February 1, 2025 – July 31, 2025
Kathmandu, Bagmati Zone, Nepal
Supermarket Sales Dashboard
June 21, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales performance using key business KPIs. Built DAX measures to calculate revenue, profit, and sales volume for reporting and insights. Analyzed sales trends across products, categories, and regions to identify performance patterns. Designed reports to simulate real-world business reporting and stakeholder dashboards.
Hospital Data Dashboard
June 21, 2026 – Present
Built a Tableau dashboard to visualize healthcare performance metrics using structured datasets. Designed KPIs including patient count, recovery rate, and service efficiency metrics. Created interactive visualizations to explore trends in patient data and hospital operations. Focused on clear data storytelling and dashboard usability for decision-making.
Kaggle Public Dataset Development
June 21, 2026 – Present
Published structured datasets across healthcare and consumer domains for public analytics use. Performed data cleaning, preprocessing, and validation to ensure dataset accuracy and usability. Organized datasets for reuse in analytics and machine learning projects. Achieved Kaggle Dataset Expert recognition through consistent contributions, including Silver and Bronze medal achievements.
Secure Voting System using Face Recognition
June 21, 2026 – Present
Developed a Flask-based web application for secure voting with user authentication and voting workflow. Implemented DeepFace-based facial recognition to verify voter identity during login. Built backend logic to manage authentication, vote submission, and access control. Integrated AI-based verification to enhance system security and prevent duplicate voting.
Kaggle Dataset Expert (Silver Medals)
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like supermarket sales, healthcare, and secure voting systems, indicating adaptability and a broad interest in applying data science. Their Kaggle contributions show initiative and a willingness to share knowledge, which aligns with a collaborative and growth-oriented culture. The internship experience at Ideapreneur Nepal Pvt. Ltd. further demonstrates practical application of skills in a business context, suggesting a good fit for a results-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a collaborative approach through project work and internship descriptions. Their experience in stakeholder communication and documentation, as noted in their technical skills, suggests a good operational fit for roles requiring clear communication of analytical insights. The Kaggle Dataset Expert recognition also implies a detail-oriented and quality-focused mindset.