
Grocery Supply Chain Predictive Analytics
This project aims to help Gala Groceries, a fictional company, with a supply chain issue.
A passionate data analyst. I love finding data-driven solutions to complex business problems. I am a recent graduate with a passion for data science. In addition, I have a background in economics with a focus on data analytics, econometrics, machine learning, mathematics, and programming, and I have a strong interest in the world of AI. I am currently working on a project to predict customer churn in the European energy market.
This project aims to help Gala Groceries, a fictional company, with a supply chain issue.
Partnered with Critical Mass (CM), a digital marketing agency, in predicting key performance indicators given advertisement features.
This project aims to develop a statistical forecasting model to predict the last weeks data of electricity load in Panama.
Helping Sprocket Central Pty Ltd, a fictional company, find their most valuable customers.
Partnered with Calgary Housing Company (CHC) in creating a housing data web scraper and forecasting model integrated within a graphical user interface.
Disciplined Agile is a toolkit that focuses on the decisions one needs to consider, the options available, and the associated trade-offs to formulate a way of working (WoW).
CertificateImported data from structured and unstructured formats, performed data cleaning, and implemented several techniques used in exploratory data analysis (EDA). Applied supervised and unsupervised machine learning algorithms on real-world applications such as predicting credit card approvals and predicting blood donations.
CertificateLeveraged advanced SQL functions used for exploratory data analysis, data cleaning, and building executive-ready reports. Calculated and tracked key business metrics/KPIs used to measure business performance.
CertificateThis honour recognizes an attained grade point average of 3.60 or higher on a 4.0 scale during the preceding spring, summer, fall and winter sessions.
Nominated based on exceptional academic achievement during the fall and winter terms.