Data Analyst & ML Engineer
Transforming raw data into actionable insights through advanced analytics, visualization, and machine learning. Specialized in building data-driven solutions that solve real business problems.
I'm a data analyst passionate about transforming raw data into actionable insights that drive business decisions. My journey began with a fascination for how data can tell compelling stories and solve complex problems.
Currently pursuing my Bachelor's in Computer Engineering at National College of Engineering (IOE, TU), I've developed a strong foundation in both analytical thinking and technical implementation.
Self-Employed
Delivering comprehensive data analysis services to clients across various industries. Creating custom dashboards, performing advanced statistical analysis, and building automated reporting solutions using Power BI, Python, and SQL. Helping businesses make data-driven decisions through clear visualizations and actionable insights.
Home Tuition Network
Co-founded and managed an educational technology platform connecting students with qualified tutors. Led operations, developed marketing strategies, and oversaw platform development. Built systems for matching students with tutors and tracking educational outcomes.
Developing an intelligent system that automatically generates professional presentation slides from documents. Utilizes T5 transformer for summarization, CLIP for image matching, and LLMs for content enhancement. Built a modular pipeline that produces high-quality, coherent presentation decks.
Built a recommendation system using KNN algorithm and cosine similarity to provide personalized Nepali movie suggestions. Processed 775 movies dataset, implemented Bag of Words vectorization, and deployed an interactive Streamlit web app with 80% accuracy.
Designed an interactive Power BI dashboard tracking critical e-commerce KPIs including total sales, AOV, customer segmentation, and repeat purchase rates. Implemented DAX measures for automated metric calculations and uncovered key user engagement trends.
Developed a comprehensive data cleaning and visualization pipeline for survey data. Handled missing values, standardized categories, and created dashboards summarizing user satisfaction, demographic trends, and improvement areas using Python and visualization libraries.
Full-stack CRUD application for managing daily expenses with secure authentication. Features include dynamic dashboards, data visualization components, category management, and expense analytics. Built with React.js frontend and MySQL database backend.
National College of Engineering, IOE, TU
Lalitpur, Nepal
July 2022 — PresentAI Engineering
Udemy
Python with Data Science
Sipalaya Infotech
I'm always interested in hearing about new opportunities, interesting projects, or just having a chat about data and technology. Feel free to reach out!
rupeshyaad98@gmail.com
Phone
+977 9824700207
Location
Lalitpur, Nepal