Arailym Mussilim
A little bit about myself:
- UofT graduate with an honors degree in Management & IT with a passion for data analytics & project management
- Extensive leadership experience with a strong academic foundation & a drive to apply analytical skills to real-world problems
- Excellent problem-solving & analytical skills with a proven ability to work both independently & as a team member
- Eager to contribute expertise in data-driven decision making & project management to drive business success
My coursework included a range of subjects, from business data analytics to management skills, which provided me with a solid foundation for tackling complex problems and driving data-driven decisions.
I believe that in today’s dynamic business landscape, the ability to extract actionable insights from data is a superpower. I’ve honed my skills in data analysis, utilizing tools like SQL, Python, Excel VBA and PowerBI to process, merge, clean, analyze, and visualize diverse data sources. I am passionate about data analysis, data visualization, data reporting, data management, business analysis, and business intelligence insights.
Outside of my academic and professional pursuits, I firmly believe that life is about creating oneself. This philosophy has driven me to explore various interests and continually seek personal growth.
Feel free to reach out to me at arailym.mussilim@mail.utoronto.ca. Looking forward to connecting with you!
| Topic | Project | |
|---|---|---|
| 1 | Data Correlations and linear Regression (Python) | Housing Sales Price Analysis |
| 2 | Data analysis, Outliers/Categorical Imputation | AirBnB dataset |
| 3 | Android venue booking app | Event and Venue Booking |
| 4 | Flask, SQLite website | CSCB20 Website |
| 5 | MERN stack website, SCRUM methodology | UTSC ClubHouse |
Project Overviews
Below is a description and brief overview for each project!
1. Data Correlations and linear Regression (Python)
This project explores the sale prices of different homes in a small town in Iowa, USA. The project’s objective is to use linear regression to predict the house prices as accurately as possible, understanding what drives housing prices and how potential home owners value different features of a house.
Subject Areas: Data Manipulation, Exploratory Data Analysis, Feature Selection, Linear regression
2. Data analysis, Outliers/Categorical Imputation
This project investigates the main factors that motivate people to book AirBnB accommodations.
Subject Areas: Data Cleaning, Field inconsistencies, Modifying Dataframes, Categorical Imputation, Outliers
3. Android venue booking app
This Android application serves as a versatile tool for managing venues and events through Create, Read, Update, and Delete (CRUD) operations. It caters to both regular users and administrators, each having distinct permissions for creating, modifying, and deleting venues. The app was developed in Android Studio and integrated with the Firebase Realtime Database and Authentication APIs.
Subject Areas: Firebase, Android Studio, Java
4. Flask, SQLite website
In collaboration with two team members, I developed and established a course website that incorporated a robust backend system for user registration and authentication, along with features for grading and providing feedback. This was achieved using Flask and SQLite as the backend technologies.
Subject Areas: Flask, SQLite, Python, BCrypt, HTML, CSS, JavaScript
5. MERN stack website, SCRUM methodology
Worked in a team of 7 to develop a webapp which allows UTSC students to connect with clubs by sharing information about upcoming events and allowing them to register to join the club right from the app. The objective of this web application is to bridge the gap between students and clubs at UTSC, by providing students with a central hub where they can easily connect with clubs and keep up-to-date with upcoming events. In particular, this web application would allow students, especially first years, to easily discover clubs and events that align with their interests. Additionally, this application makes it easier for clubs to reach out to new students who may be interested in joining or attending their events.
Subject Areas: MERN stack -> MongoDB, React, Node.js, Express, Jira, SCRUM methodology, React, Material UI,