- π Innovation-focused, with internships in Google, the start-up ecosystem (startups, accelerators, venture capital) and more...
- πΌ 2+ years of experience in Business Intelligence and Analytics
- π Exploring the world through data, one dataset at a time!
Coding Languages: Python, SQL, SAS, R, VBA
Visualization Tools: PowerBI, Tableau, Salesforce, Microsoft Excel
Safe Roads Competition 2024 Grand Champion: Led team of three analytics students in improving cyclist safety by analyzing Toronto Police geospatial traffic collision data using Python, SAS, and Tableau.
HR Predictive Modelling for Employee Turnover β’ Conducted analysis of 150,000 HR data points to develop employee retention recommendations. β’ Deployed advanced predictive models, leveraging techniques such as regression, decision trees, random forest, XGBoost, to accurately forecast employee turnover risk and influencing factors.
Marketing A/B Testing & Polynomial Regression: β’ Conducted A/B Testing on marketing campaigns, evaluating CTR, engagement, ROAS metrics. β’ Developed polynomial regression model to identify optimum spend for marketing objectives.
Webscraping Lottery Analysis: Python web-scraped to analyze lottery demand and expected return. Identified which lottery has the highest average return and at which Jackpot value points. Using NumPy, Pandas, Matplotlib, Seaborn, and Statistics libraries to plot expected return at different jackpot levels.
Google Advanced Data Analytics Certificate 2024
Macquerie University - Microsoft Excel for Business 2023
Google Data Analytics Certificate 2023