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shiraz-30/README.md

Shiraz Mangat

Computer Science graduate building a career in banking and financial services, backed by a technical and analytical background. Completed B.Tech in Computer Science and Engineering with a Major Specialization in Artificial Intelligence & Machine Learning from Punjab Engineering College, India with an internship completed at JPMorgan Chase and Co as a Corporate Data Analyst. Currently completing the Investment Funds in Canada (IFC) course through the Canadian Securities Institute (CSI).


Featured project

FundCompass — AI powered mutual fund suitability engine that matches Canadian investors to mutual funds using CFR-modeled suitability rules, sentence-transformer semantic search, and an LLM recommendation layer that explains each match in plain language, including reasoned alternatives. Live and deployed:

fund-compass.streamlit.app


Skills

Banking & Client-Facing

Client Service Relationship Building Problem Resolution

Financial & Data Analysis

Financial Data Processing Data Validation Documentation Review

Technical

Python Microsoft Office Anthropic Streamlit Tableau Alteryx

Tools

Git GitHub VS Code

Domain Knowledge

KYC / Suitability CSA CFR IFC

Background

Started programming during undergrad with web tools and competitive coding, then built out data and applied ML skills through coursework, a published research paper, and hands-on projects. Now focused on bringing that technical and analytical foundation into banking and financial services, where clear communication and regulatory grounding matter as much as the underlying tools.


Contact

📧 smangat1435@gmail.com
📍 Surrey, BC, Canada

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  1. fund-compass fund-compass Public

    AI-powered mutual fund suitability engine for Canadian investors

    Python