ABOUT ME

I am data focused professional passionate about helping organizations bring data solutions to life. I started my foray into tech as a Front End developer for an identity management organization. This nurtured my creativity and attention to detail, a skill which helped me create lovely data visualizations.

I pivoted to data science in 2020, by taking Udacity's Deep Learning Nanodegree, after which I went for my Masters' in Electrical and Computer Engineering at the University of Waterloo. During my Masters' studies I was privileged to focus on software, artificial intelligence and business courses.

I currently work as a data engineer for a leading sports media & betting company in North America. My work includes developing high-volume streaming pipelines with PySpark on Google Cloud Dataproc, enabling real-time insights and supporting data-driven decisions across regulatory compliance, business and customer analytics.

PROJECTS

"All Models are wrong, but some are useful" - George Box, British Statistician

"If you torture the data long enough, it will confess anything.” - Ronald H. Coase, British Economist

Job Skills Extraction with LSTM

Extracting skills from data science job posts. Skills: Web Scraping, Deep Learning, Streamlit.

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ML approaches for Breast Cancer Diagnoses

Breast cancer risk prediction from multiple datasets. Skills: Imbalanced data classification, Deep Learning.

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Analyzing Post Secondary Tuition in Canada with Tableau

This project analyzes the differences in Canadian postsecondary tuition across provinces, fields of study as well as historical trends.

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