I'm your data guy,
Shafquat Arefeen
Over a decade in data: from finance, to government, to Big Tech. I can help you with all your data needs!
About Me
Husband. Father. Data Scientist. Real Estate Agent*. Sometimes a softball coach.
*Right At Home Realty
Data makes the world go round.
I have worked in a variety of different industries including finance, government, real estate, universities, and now in growth marketing and specifically localization. Each industry has their own data needs and infrastructure, but ultimately data is data. The tools used to ETL and analyze can be used interchangeably depending on the task.
My experience allows me to delve into interesting consulting projects and it’s usually what I do when I have some time to spare. I provide a free first consultation to help understand your data needs and provide insight on how I can help you.
When I’m not digging into, I’ll be with my family, usually in a unique part of the world.
In The Media
Some highlights from when my work was published in major publications.
The two LLMs we will be using are GPT (through a Jupyter Notebook via an OpenAI API) and Vertex AI (through Google BigQuery’s ML.GENERATE_TEXT function).
Discussing the real life effects of hyper inflation in the economy a video game.
The goal of the portfolio optimization is to retrieve an annualized expected return for a given risk tolerance. The return is associated with a portfolio of weightages (asset-allocation) to help decide investment strategies.
In Toronto, for example, a 15 per cent levy on foreign homebuyers introduced in April 2017 appears to have triggered a quick realignment of listings and home prices in the city, according to a numbers breakdown provided to Global News by data analyst Shafquat Arefeen.
The 26-year-old financial data analyst saw that the Toronto Real Estate Board (TREB) had made aggregated data publicly available — but he wanted to develop his own insights. Using information released by TREB in early July, he published a visualization of trends in Toronto’s housing market.
Readers loved it. His website, which does not have ads, got 13,000 visitors in the first month the visualization was available.
His crime was to create a gripping visualization of trends in the insane Toronto housing market, showing at a glance how unsustainable and fraught with risk housing has become. He published it. Over thirteen thousand people came to read it. The lawyers moved in.
The solution: Audible textured maps using Braille and relief features that show the station’s layout. The maps would be posted at all entrances, stairs and elevators with a low beep or buzz guiding the rider to the map’s location.
What Services I'm Providing
Work Experience
Over a decade working professionally in data, I have the skills and experience to deal with all types of data, big and small, structure and structured, clean or messy.
Localization. Marketing. Data Science.