Hi, I'm Kyaw 👋
Data Scientist, Software Engineer, and Entreprenuer in the making. I love building things and finding solutions to help people.
KKML

About

I’m a software engineer, data analyst, and data scientist who’s passionate about building and scaling products using data and AI. Right now, I’m working at Global Key Advisors as a Financial Data Analyst Intern, where I analyze corporate datasets and build software and LLM-based tools to extract insights from company filings like SEC reports. Outside of my internship, I’ve built and launched multiple projects — including a LinkedIn Data Analysis Model that processes thousands of 2024 tech job postings to identify the most in-demand skills in the industry. I also created an UberEats/DoorDash web scraper for a restaurant startup, helping them analyze menu data, pricing, and competition more efficiently. My work sits at the intersection of business, engineering, and data. At the core, I’m driven by the idea of using technology and AI to create real impact and move humanity forward in meaningful ways.

Work Experience

G

Global Key Advisors

Sep 2025 - Present
Financial Data Analyst Intern
Developed a Finance LLM pipeline using Python and Ollama to extract structured insights from large SEC filings, generating analyst-ready tabular datasets. Automated company-scoring workflows by evaluating firms across 10 quantitative categories to support investment modeling and due-diligence processes. Built data-processing scripts to clean, transform, and export outputs into CSVs for downstream analytics.
B

BetaNYC

January 2021 - April 2021
Data Analyst Intern
Collected and validated 400+ civic infrastructure data points per day using OpenStreetMap, Overpass API, and geospatial survey tools to map assets across Brooklyn CD1. Designed an open-source data collection methodology and playbook adopted by 15–20 partner organizations, standardizing validation workflows for civic-tech initiatives. Led a multi-organization workshop to train stakeholders on participatory mapping and spatial data collection techniques.
K

Koe Koe Tech

March 2020 - June 2020
Strategic Research Analyst Intern
Performed due diligence on 10+ organizations weekly, analyzing revenue models, capital capacity, and operational stability to identify high-value grant and partnership opportunities. Applied a custom scoring framework to evaluate funding sources, driving a 30% expansion of the funding pipeline and achieving a 40% qualification rate. Analyzed and refined 5-10 grant proposals per week, increasing approval likelihood through data-driven recommendations and competitive insight.

Skills

Languages and Frameworks

Python
JavaScript
TypeScript
React
Next.js
Node.js
C/C++
PHP
Flask
Django

Data Analysis & ML

SQL
PostgreSQL
Power BI
Excel
TensorFlow
scikit-learn
Plotly
Pandas

Development Tools

Git
GitHub
Google Cloud
Streamlit
Jupyter Notebooks
VS Code
TailwindCSS
Docker
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

NYC 311-Property Insights Web App

My colleague and I built this project because we were curious about how city complaints and neighborhood conditions actually affect real estate value in NYC. Instead of just analyzing a static dataset, we wanted to create something interactive — a system where we could store, process, and explore both 311 complaints and property sales in one place. So we designed a full-stack platform using SQL, Python, and Flask that lets us analyze trends, compare neighborhoods, and visualize how complaint volume correlates with housing prices.

Flask
Python
PostgreSQL
Google Cloud

Magic UI

Designed, developed and sold animated UI components for developers.

Next.js
Typescript
PostgreSQL
Prisma
TailwindCSS
Stripe
Shadcn UI
Magic UI

llm.report

Developed an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

Next.js
Typescript
PostgreSQL
Prisma
TailwindCSS
Shadcn UI
Magic UI
Stripe
Cloudflare Workers

Automatic Chat

Developed an AI Customer Support Chatbot which automatically responds to customer support tickets using the latest GPT models.

Next.js
Typescript
PostgreSQL
Prisma
TailwindCSS
Shadcn UI
Magic UI
Stripe
Cloudflare Workers
Hackathons

I like building things

During my time in university, I attended 21+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

  • H

    Hack Western 5

    London, Ontario

    Developed a mobile application which delivered bedtime stories to children using augmented reality.
  • H

    Hack The North

    Waterloo, Ontario

    Developed a mobile application which delivers university campus wide events in real time to all students.
  • F

    FirstNet Public Safety Hackathon

    San Francisco, California

    Developed a mobile application which communcicates a victims medical data from inside an ambulance to doctors at hospital.
  • D

    DeveloperWeek Hackathon

    San Francisco, California

    Developed a web application which aggregates social media data regarding cryptocurrencies and predicts future prices.
  • H

    HackDavis

    Davis, California

    Developed a mobile application which allocates a daily carbon emission allowance to users to move towards a sustainable environment.
  • E

    ETH Waterloo

    Waterloo, Ontario

    Developed a blockchain application for doctors and pharmacists to perform trustless transactions and prevent overdosage in patients.
  • H

    Hack The North

    Waterloo, Ontario

    Developed a virtual reality application allowing users to see themselves in third person.
  • H

    Hack The 6ix

    Toronto, Ontario

    Developed an open platform for people shipping items to same place to combine shipping costs and save money.
  • S

    Stupid Hack Toronto

    Toronto, Ontario

    Developed a chrome extension which tracks which facebook profiles you have visited and immediately texts your girlfriend if you visited another girls page.
  • G

    Global AI Hackathon - Toronto

    Toronto, Ontario

    Developed a python library which can be imported to any python game and change difficulty of the game based on real time emotion of player. Uses OpenCV and webcam for facial recognition, and a custom Machine Learning Model trained on a [Kaggle Emotion Dataset](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/leaderboard) using [Tensorflow](https://www.tensorflow.org/Tensorflow) and [Keras](https://keras.io/). This project recieved 1st place prize at the Global AI Hackathon - Toronto and was also invited to demo at [NextAI Canada](https://www.nextcanada.com/next-ai).
  • M

    McGill AI for Social Innovation Hackathon

    Montreal, Quebec

    Developed realtime facial microexpression analyzer using AI
  • O

    Open Source Circular Economy Days Hackathon

    Toronto, Ontario

    Developed a custom admin interface for food waste startup <a href='http://genecis.co/'>Genecis</a> to manage their data and provide analytics.
  • M

    Make School's Student App Competition 2017

    International

    Improved PocketDoc and submitted to online competition
  • H

    HackMining

    Toronto, Ontario

    Developed neural network to optimize a mining process
  • W

    Waterloo Equithon

    Waterloo, Ontario

    Developed Pocketdoc, an app in which you take a picture of a physical wound, and the app returns common solutions or cures to the injuries or diseases.
  • S

    SpaceApps Waterloo

    Waterloo, Ontario

    Developed Earthwatch, a web application which allows users in a plane to virtually see important points of interest about the world below them. They can even choose to fly away from their route and then fly back if they choose. Special thanks to CesiumJS for providing open source world and plane models.
  • M

    MHacks 9

    Ann Arbor, Michigan

    Developed Super Graphic Air Traffic, a VR website made to introduce people to the world of air traffic controlling. This project was built completely using THREE.js as well as a node backend server.
  • S

    StartHacks I

    Waterloo, Ontario

    Developed at StartHacks 2017, Recipic is a mobile app which allows you to take pictures of ingredients around your house, and it will recognize those ingredients using ClarifAI image recognition API and return possible recipes to make. Recipic recieved 1st place at the hackathon for best pitch and hack.
  • Q

    QHacks II

    Kingston, Ontario

    Developed a mobile game which enables city-wide manhunt with random lobbies
  • T

    Terrible Hacks V

    Waterloo, Ontario

    Developed a mock of Windows 11 with interesting notifications and functionality
  • P

    Portal Hackathon

    Kingston, Ontario

    Developed an internal widget for uploading assignments using Waterloo's portal app
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.