My Story

I am a second-year Data Science undergraduate student at the University of Manitoba, passionate about uncovering insights through data and developing practical projects. I am currently building a strong foundation in data analytics, machine learning, and programming. I possess a solid understanding of Java, R, Python, SQL, Markdown, Git, and Tableau and am continually expanding my expertise in these tools and technologies. My primary interests lie in Data Analytics, Data Science, and Machine Learning, and I am eager to explore opportunities that allow me to apply and deepen my knowledge in these fields

Programming Languages

Programming languages for data analysis, modeling, and computational tasks(and an addition one).

Libraries & Frameworks

My libraries and framework that I use for data analysis task.

Visualizing &Reporting

Tools for creating insightful visualizations and reports.

Other Tools

Version control, documentation, and productivity tools.

All Projects

Air Quality Analysis

This project analyzes the UCI Air Quality Dataset, which contains hourly air pollution and weather data from Rome, Italy (March 2004–February 2005). The goal is to explore relationships between pollutants, sensor responses, and environmental factors, and to build predictive models for pollutant concentrations. My part is the III in Final Report: Correlation Analysis and Air Quality Index (AQI), and 2. Correlation and Sensor Calibration,

Date release: Apr 5, 2025

Check it out!

San Francisco bike share network

I used R and R package to analyze trip data and trip data from Monday 7 July 2014 to Sunday 13 July 2014 and Monday 6 July 2015 to Sunday 12 July 2015 across five cities in the San Francisco Bay Area, evaluating the evolution of the bike share network.

Date release: Dec 30, 2024