+
Skip to content
View urbanclimatefr's full-sized avatar
13 followers · 101 following

Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

Block or report urbanclimatefr

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
urbanclimatefr/README.md

Hi I'm Kenneth 👋

I'm a data practitioner:

🔭 I worked on healthcare analytics, where I have migrated legacy SAS data and scripts to Parquet/Python/PySpark

💡 I worked on ETL, recommendation system, and marketing predictive analytics in Digital Media

🕵️‍♂️ I studied Digital Fingerprinting and researched catastrophic modelling in Insurtech start up

🌦️ I studied how to improve weather and climate modelling in cities, specifically how improvement in radiation modelling helps urban climate prediction

👩‍🏫 I taught science and physics to high school students and mentored junior staff in the public health sector

🌱 I’m currently doing MLOps

Pinned Loading

  1. de-zoomcamp-2025-project de-zoomcamp-2025-project Public

    end to end data pipeline

    5 1

  2. de-zoomcamp-2025-project-attempt2 de-zoomcamp-2025-project-attempt2 Public

    second attempt of Data Engineering Zoomcamp Project

    HCL 1

  3. esg-llm-text-classification esg-llm-text-classification Public

    This research investigates the classification of Environmental, Social, and Governance (ESG) information within textual disclosures. The aim is to develop and evaluate binary classification models …

    Jupyter Notebook 2

  4. telecom-customer-churn-prediction telecom-customer-churn-prediction Public

    Supervised learning algorithm was used to build churn prediction model to help solve a telecoms company's customer churn problem.

    Jupyter Notebook 3 2

  5. knapsack_problem knapsack_problem Public

    Simulated Annealing and Tabu Search are selected to solve the 0-1 knapsack problem.

    Jupyter Notebook 5 1

  6. housing_rental_data_analytics housing_rental_data_analytics Public

    Housing rental data analytics

    Jupyter Notebook 2

点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载