Nuren Sherpa

Business & Data Analyst

Hello! I'm a Business and Data Analyst who bridges the gap between raw data and real-world business decisions. With a background in Computer Engineering, I use Python, SQL, and Power BI to transform complex datasets into clear insights—but my real passion is turning those insights into actionable strategies. Whether it's mapping customer journeys, defining requirements, or building dashboards that tell a story, I focus on creating clarity and driving impact through data. I believe in making data not just understandable, but usable.

About Me

I’ve always been fascinated by the stories that data tells—not just the numbers themselves, but their deeper business implications. This curiosity led me to transition from Computer Engineering to Business and Data Analysis, where I merge my technical skills with a strategic, human-centered approach to drive business solutions. I believe that great solutions start with understanding people, not just data.

With a Computer Engineering background, I bring a structured, analytical mindset to uncovering user needs and translating them into clear, actionable requirements. I specialize in Customer Journey Mapping, Requirement Elicitation, and Process Optimization, utilizing tools like SQL for data querying, Python for data analysis and automation, Power BI for interactive reporting, and tools like Jira and Confluence for project management and documentation to validate assumptions and track performance.

As a recent graduate from TU, I’m seeking a full-time Business Analyst role where I can bridge the gap between stakeholders, users, and technical teams—turning business challenges into scalable, user-centered solutions.Every project teaches me something new, and I’m always excited to learn while delivering real value.

2025 Graduation
5+ Projects Completed
10+ Tools I Use
100% Ready to Learn

My Projects

Nepal Tourism Data Analysis Project

This project analyzes Nepal's official tourism statistics (2012-2024) obtained from Open Data Nepal. The dataset includes comprehensive tourism metrics such as arrivals, demographics, nationalities, purpose of visit, entry points, and aviation movement data.

Focused on trends like tourism recovery post-COVID, market diversification, and seasonal patterns. Developed insights that helped stakeholders understand key tourism indicators and optimize strategies.
Python SQL Power BI Jupyter Notebook Pandas

Customer Behavior Analysis

Analyzed customer purchase patterns using Python and SQL, then built a Power BI dashboard to visualize everything. The goal was to figure out which customer segments were most valuable and when people were most likely to buy.

Found that certain customer groups had way higher lifetime value than others, and spotted seasonal patterns that could help with timing marketing campaigns better.
Python SQL Power BI Pandas

Healthcare Analytics Dashboard

Built an interactive dashboard in Power BI to track hospital performance metrics. Wanted to make it easy for healthcare professionals to see patient outcomes and operational data at a glance.

The dashboard made it way easier to spot trends in patient care and hospital efficiency—turned what used to take hours of manual reporting into something you could check in seconds.
Power BI DAX Data Modeling

Insurance Claim Analysis

Looked at insurance claims data to find unusual patterns and potential fraud indicators. Used Power BI to create visuals that made it easier to spot claims that needed a closer look.

Developed some models that could flag suspicious claims with pretty good accuracy. Would've helped save time on manual reviews and catch things that might slip through.
Power BI Statistical Analysis Data Cleaning

Festival Sales Analysis

Did an exploratory analysis of sales data during festival seasons using Python. Wanted to understand what drives purchases during peak times and if there were any interesting demographic patterns.

Uncovered some clear peak buying times and customer preferences that could help with inventory planning. Also found some demographic trends that weren't obvious at first glance.
Python Pandas Matplotlib Seaborn

What I Work With

Data Analysis

Python SQL Pandas NumPy Statistical Analysis

Visualization

Power BI Tableau Matplotlib Seaborn DAX

Data Prep

Data Cleaning Excel ETL Data Wrangling

Methods

EDA Trend Analysis Segmentation A/B Testing Predictive Modeling

Let's Talk

Looking for data analyst opportunities or interesting projects to work on. If you want to chat about data, potential roles, or just have questions about any of my projects, feel free to reach out!