I'm Meghav Darji — a BBA (Accounting) student at Yorkville University building a career at the intersection of accounting, finance, and data analytics. I like real datasets, real errors, and figuring things out hands-on.
I'm studying accounting because I like when numbers reconcile — and I'm learning data analytics because most numbers worth understanding don't live in a single spreadsheet anymore. I learn by building: setting up my own PostgreSQL and Python environment, loading real datasets, breaking things, and fixing them — not by watching tutorials from the sidelines.
Right now I'm running the same analytical questions across multiple tools — SQL, then Python with pandas, then Power BI, then R — on a shared dataset, so I understand not just how each tool works, but when to reach for which one.
My strongest foundation — modeling, lookups, pivot analysis, and clean reporting.
Daily practice with real query problems, imports, joins, and troubleshooting in pgAdmin and VS Code.
Data analysis fundamentals plus applied work like web scraping with Selenium.
Environment set up and datasets loaded — visualization is the next phase of the roadmap.
Collaborative research paper for HUMN440 (Smart and Sustainable Cities) reimagining Vancouver's future through smart infrastructure and sustainability. Contributed to research, writing, an infographic-style poster, and a companion podcast script.
Business analytics presentation examining Dubai's real estate market, with a full set of refined speaker notes translating data insights into a clear spoken narrative.
Built a Selenium-based web scraper in Python that extracts product names and prices, using zip() and enumerate() to pair and structure results. Next iterations: CSV export, user input, and pagination.
Loaded an engagement dataset into a self-built PostgreSQL + Python environment and computed click-through rates with pandas — including hands-on troubleshooting of CSV encoding and import issues along the way.
Coursework spanning accounting, finance, and business analytics, alongside a self-directed data analysis curriculum in SQL, Python, and BI tools.
Supported the IT team with portal assistance, real-time ticketing and chat management, and issue escalation. Assisted students with problem resolution, hosted events, and helped run New Student Orientation and Convocation.
Stock screening, fundamental and technical analysis, and personal finance strategy.
Treating points programs like an optimization problem — transfer ratios, bonuses, and redemption value.
Running virtual machines, remote access setups, and home networking experiments.
Open to accounting, finance, and data analyst opportunities where I can put this toolkit to work.