Badges
Certifications
Work Experience
Data Insights & Analytics Specialist
Underknown•  August 2022 - January 2023
- Built forecast models to predict future revenue - Developed 5+ interactive dashboard using Google Data Studio - Analyzed keyword and topic performance of videos on social media platform (Facebook, Snapchat, Youtube), to grow our page view by 21% - Automated third party data pull about competitors and audience trends to influence ideation strategies - Effectively communicated key insights from analyses, experiments and projects to stakeholders
Data Analyst (Data Science and Engineering)
South China Morning Post SCMP•  January 2022 - July 2022
- Integrated multiple data sources to Google BigQuery and conducted 50+ ETL processes on Airflow -Developed 3+ interactive dashboard using Google Data Studio - Built and evaluated recommendation systems using NCF and LightFM with Google Analytics data, to grow our pages’ views by 23% - Drew insights from Google Analytics data by statistics, data visualization and NLP analysis - Built and deployed customer life time value models with E-commerce data using Lifetimes, Airflow and Google BigQuery, to grow our ecomerce sales by 12% - Migrated 50+ data models from plain SQL to dbt
Junior Data Scientist
bolttech•  May 2021 - October 2021
▪ Worked in English ▪ Worked with the Data Science team to drive business insights out of the data ▪ Conducted data analysis, cleaning, and transformation ▪ Developed, maintained and enhanced visualization dashboards ▪ Queried and built analysis out of databases ▪ Conducted data collection and research ▪ Provided advanced analytics to other teams ▪ Participated in model building Tech stack: - Python (Jupyter Notebook, Spyder)(Scikit-Learn, Pandas, Scipy, TensorFlow, nltk) - SQL (DBeaver) - web development (Flask) - Linux (Ubuntu 20.04) - AWS - Google Data Studio - Agile environment (Atlassian, Slack) Projects: - weather prediction for insurance (e.g. in Hong Kong)(Times series prediction) - Tropical storm landfall location and time prediction (CNN and LSTM) - claims classification (regex/nltk/NLP) - customer personas analysis/clustering (PCA/MCA/regex/nltk/K-Means Clustering) - device fingerprinting (to create a unique identification for customer account using mobile devices) - store clustering and pairing for A/B Testing
PhD Researcher and Data Analyst
CNRS•  November 2019 - February 2021
Centre National de Recherches Météorologiques (CNRM)/Metéo-France (CNRM - Centre National de Recherches Météorologiques UMR 3589 - Toulouse) Thesis: Improving the modelling of radiative exchanges in urban climate models to better evaluate urban forms in the context of changing climate. - Worked in English - Analysed urban morphology parameters in 40 French cities - Quantified meteorological conditions in Toulouse - Used simplified Monte Carlo atmospheric radiative transfer model to calculate radiative flux on urban geometries - Conducted a literature review on how radiation is calculated in urban land surface models - Created idealised cities with references to Local Climate Zone by using city_generator and procedural_generator programs developed by Méso-star Skills: Python (numpy, pandas, math,matplotlib,SciPy, os, geopandas) statistics;LaTex; Mageia, Ubuntu; Git; Bash; Monte Carlo simulation; urban meteorology,radiative transfer
Education
University of York
Computer Science with Artificial Intelligence, MS•  May 2021 - Present
(Online & Part-time degree) - Algorithms and Data Structures (with Java) - Computer Architecture and Operating Systems - Computer and Mobile Networks (with Java) - Research Methods - Applied AI - Advanced Programming - Artificial Intelligence and Machine Learning - Software Engineering - Big Data Analytics - Research Proposal - Individual Research Project
University of Reading
Applied Meteorology, MS•  September 2017 - December 2018
Dissertation Project: Estimating wind speed at street level •Supervisors: Dr. Natalie Theeuwes & Prof. Sue Grimmond Awarded distinction in the dissertation project Team Project: High-impact weather in Southeast Asia •Supervisor: Prof. Christopher Holloway Skills: - data visualisation with Python (numpy, pandas, math,matplotlib,SciPy) and MATLAB - statistics with Python (probability and distributions, statistical inference, PCA) - weather forecasting - tropical meteorology - oceanography - remote sensing - boundary layer meteorology - urban meteorology and climatology - dissertation written with LaTex - physical laboratory skills - presentation skills - team working skill
The Chinese University of Hong Kong (CUHK), Hong Kong
Physics, BS•  September 2012 - November 2016
Skills: - scientific programming (C, Java and MATLAB) - final year project written with LaTex - physical laboratory skills - statistics (probability and distributions) - data analysis with Microsoft Excel - mathematics (linear algebra, multivariable calculus, ordinary differential equations, partial differential equations) - presentation skills - team working skill
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