Title: Khin Yadanar Lin | Portfolio Website
Open Graph Title: Khin Yadanar Lin | Portfolio Website
X Title: Khin Yadanar Lin | Portfolio Website
Description: Data Science and Analytics Professional | London
Open Graph Description: Data Science and Analytics Professional | London
X Description: Data Science and Analytics Professional | London
Mail addresses
khinydnlin@gmail.com
Opengraph URL: https://khinydnlin.github.io/
Generator: Astro v4.0.2
Domain: khinydnlin.github.io
| title | Khin Yadanar Lin | Portfolio Website |
| og:type | website |
| og:image | https://khinydnlin.github.io/KYL_banner.png |
| twitter:card | summary_large_image |
| twitter:url | https://khinydnlin.github.io/ |
| twitter:image | https://khinydnlin.github.io/KYL_banner.png |
| astro-view-transitions-enabled | true |
| astro-view-transitions-fallback | animate |
Links:
| K | https://khinydnlin.github.io/ |
| Let's connect! | https://www.linkedin.com/in/khinyadanarlin/ |
| View projects on Github | https://github.com/khinydnlin |
| Topic Modelling & Sentiment Analysis - Data Science Subreddit I crawled over 7,000 top posts and comments from the 'Data Science' subreddit using the Reddit API. I then applied text preprocessing and TF-IDF vectorization before training an LDA model to extract five key discussion themes. I also employed a lexicon-based sentiment analyser to guage the sentiment across different flairs. Python PRAW NLTK Tf-idf Vectorizer LDA Vader | https://github.com/khinydnlin/topic_modelling_ds_subreddit/blob/main/README.md |
| False Fire Alarms Detection - London Fire Brigade In the UK, 42% of emergency incidents reported to rescue teams are false fire alarms, costing approximately £1 billion annually to address. In this project, I analysed spatial data using geopandas, and built a classifier to detect false alarms using techniques like Logistic Regression, KNN, Naive Bayes, and Random Forest. Python geopandas sklearn Classification Supervised Machine Learning | https://github.com/khinydnlin/false_fire_alarms_detection/blob/main/README.md |
| Car Auction Price Predictions In this freelance project, I developed a ML pipeline to predict used car prices for a Myanmar-based car rental platform. I identified key factors influencing resale values through feature importance analysis and employed techniques such as Ridge Regression and Ensemble Methods. The model is demonstrated via a Flask web app. Python Statsmodels sklearn Flask Supervised Machine Learning | https://github.com/khinydnlin/car_auction_price_predictions/blob/main/README.md |
| Inquiry Volume Forecasting - ARIMA Time Series Forecasting This project uses real-world business data from an anonymised company to forecast daily chat inquiry volumes on Facebook Messenger through ARIMA modelling. Specifically, I explored dynamic regression with ARIMA error terms method, to allow the inclusion of additional predictors such as digital ads spend and campaign data R ARIMA Time Series Forecasting Dynamic Regression | https://github.com/khinydnlin/chat_inquiry_volume_forecasting/blob/main/README.md |
| View more projects | https://khinydnlin.github.io/projects |
| What is Causal Inference? A beginner's guide to causal inference methods: randomized controlled trials, difference-in-differences, synthetic control, and A/B testing | https://medium.com/towards-data-science/what-is-causal-inference-48c57d848242 |
| Optimisation: Unpacking Queueing Theory in its Simplest Terms Have you ever found yourself waiting in line at a supermarket, a restaurant, or a bank, wishing your turn would come just a bit faster? | https://medium.com/towards-data-science/optimisation-unpacking-queueing-theory-in-its-simplest-terms-484ad80be56c |
| Website Template | https://astrofy-template.netlify.app/ |
| Manuel Ernesto | https://manuelernestog.github.io |
| https://khinydnlin.github.io/ | |
| Home | https://khinydnlin.github.io/ |
| Projects | https://khinydnlin.github.io/projects |
| CV | https://khinydnlin.github.io/cv |
| https://calendly.com/khinydnlin-nxqk/30min | |
| https://github.com/khinydnlin | |
| https://medium.com/@khinydnlin_66752 | |
| https://www.linkedin.com/in/khinyadanarlin/ |
Viewport: width=device-width,initial-scale=1