Sandy Jr Julian

I am a proactive and reliable fresh graduate Math and Stats student at MacEwan University (June 01, 2023) with hopes of kickstarting my career as a data analyst.Over the course of my studies, I have developed a passion for data analyzing, machine learning and a love for collaboration. I am always eager to learn and adapt to new environments. As I further my experience, I hope to gain more professional experience and knowledge within the industry.

September 2022-Current

STUDENT DATA ANALYST

RIIPEN LEVEL UP WITH 

MACEWAN UNIVERSITY

Edmonton, Alberta, Canada

Analyzed, explored, and inspected data set for research
Prepared and presented narratives and explanations to accompany statistical data.
Filtered and “cleaned” data by reviewing computer reports, printouts, and performance indicators. Interacted with management to prioritize the most important needs.

September 2022-April 2023

STUDENT ASSISTANT

MACEWAN UNIVERSITY
Edmonton, Alberta, Canada

Adapted during hectic hours and developed priority tasks to meet deadlines. Motivated students to accomplish assignments.
Aided the needs of existing and new students and efficiently manage them.

September 2021-August 2022

MARKER

MACEWAN UNIVERSITY
Edmonton, Alberta, Canada

Reinforced a rubric system to fairly judge students' assignments
Utilized critical thinking to recognizing alternate formats/ solutions that are correct. Flag students work as necessary following pre-determined criteria

June 2018-August 2022

ASSISTANT MANAGER

7-ELEVEN INC.
Edmonton, Alberta, Canada

Analyzed and carefully finished daily work shift reports to be submitted to 7 Eleven accounting office.
Planned and forecasted items to be ordered basing from last week's activity of sales. Managed employees during a working shift by communicating clearly and listening actively.

2019-2023

BACHELOR OF SCIENCE DOUBLE MAJOR IN MATHEMATICS AND APPLIED STATISTICS

MACEWAN UNIVERSITY
Edmonton, Alberta, Canada

GGPA: 3.645

PROJECTS
Statistical Consulting Project
Worked with a client to identify scope of work for analyses, dashboards, and reports. Planned an agenda to be discussed once in every two weeks.

Applied Time Series Analysis (Community Partner Project)
Analyze the biweekly engagement of one of King Business Solutions’ customer with time series and finding out a model (seasonal and non-seasonal) to interpret the trend.

Applied Multivariate Analysis
Used classification and machine learning methods to predict whether an individual will accept a marketing offer.

Applied Categorical Analysis
Studied the relationship between leisure hours and categorical variables (demographics), then finding the best model and testing its accuracy.

Applied Regression Analysis
Model the relationship between leisure hours and predictor variables which consists of categorical and numerical variables then finding the best model for prediction.