Skills for data science lifecycle
01.
Problem Definition
-
Translating business problems to data science questions
-
Technical writing
-
Business analysis
02.
Data Collection & Preparation
-
Web scraping
-
Sampling survey
-
Data annotation
-
Data clearning & wrangling
-
SQL
-
Database archetecture
03.
Modeling & Implementation
-
Machine learning models
-
Statistical & regression analysis
-
Hypothesis testing
-
Predictions
04.
Visualization
-
Power BI
-
Tableau
-
QlikView
-
SAP BusinessObjects
-
Gephi
05.
Deployment & Improvement
-
Cloud based applications
-
ETL automation
-
Power App
-
Data quality mangement
-
Model updates
Education and Courses
Aug 2024
Master of Data Sciece & Analytics
University of Calgary
Data storage, processing, application at scale, database, data manipulation, Programming in Python, statistical analysis with R, and data visualization, Statistical inference, probability modeling, and complex statistical modeling techniques, Machine learning, and deep learning
Jul 2013
Bachelor of Business Administration
in Management Science
Minor in Business Economics
City University of Hong Kong
Simulation, Optimization Problems, Operational Research, Statistics, VBA
Econometrics, Game Theory, Corporate Finance Management
Apr 2013
Exchange Program
University of British Columbia
R Programming, Statistics, Business Strategies, Macro-Economics
Jul 2011
Associate of Business Association
in Financial Services
City University of Hong Kong
Regulatory Framework in Financial Services, Investments, Capital Asset Pricing Model
Nov 2016 - Jul 2023
Manager
DB Schenker
The world's 4th largest freight forwarder
Sales performance management, ISO work instruction, salesman KPIs
Mar 2015 - Oct 2016
Busines Analyst
Code Free Soft
Cloud based application platform
Product management, sales, requirements gathering, applicaiton building
Sep 2013 - Oct 2014
SAP Logistics Planning
RS Components
Leading retailer of industrial and electronics products
Comminucations, training, change management, system migration issues handling
Experience
​Master of Data Science student, with over 10 years of experience working with data and IT, with solid experience in developing dashboards and reports, automating data pipelines, integrating data from different sources, programming, providing data analysis and business insights, writing
technical requirements on
applications and optimizing
business processes.