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Lim J.

Lim J.

Johor Bahru, Malaysia

Machine Learning | Data Analysis | Data Visualization | Data Cleaning

I am a Information Systems Engineering major and currently a Data Analyst/Data Science Intern in Huawei Technologies. My day-to-day work consists of cleaning data in python, creating models to make prediction, change and tune models frequently based on demand of customers. I strongly believe that everything is solvable and learnable, as long as there is a problem, I will try my best to find a solution. Skills that I possess: - Python, Pandas, Matplotlib, Seaborn, Scikitlearn - Machine Learning algorithms like Linear Regression, K Nearest Neighbors, Random Forest and many others - Process Mining algorithms like Alpha Miner, Heuristic Miner, Inductive Miner and others - SQL on big data What I am proficient in: - Data Cleaning/ Data Processing - Data Visualization - Machine Learning - Process Mining What I can offer: - Cleaning and processing data of up to millions of rows based on requirements given - Create Insightful Visualizations (Python/ Power BI/ Excel) - Create Machine Learning models that can make prediction or classification based on the given data - Given process log, I can create process models which show clearly how the business process is run based on real data and find anomalies in the business process - Any other related projects are also welcomed!
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Portfolio

In this project, the client which is a social media & content creation company which wants to know the top 5 categories with the largest aggregate popularity. Project Significance: - Suggest which content categories will be able to drive the most user growth - Help the client understand which type of contents are the most popular on their platform
Accenture Virtual Internship
In this project, the client which is a medium size bikes & cycling accessories organization. They want to know which of the recently acquired 1000 customers should be targeted based on the given dataset. Project Significance: - After performing RFM analysis, we can find which customers should be the focus of the company and will bring the most value. - Help the company target the right customers that drive the most value.
KPMG Virtual Internship Dashboard
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Skills

Lim J.

Lim J.

Johor Bahru, Malaysia
1
Total Jobs

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Machine Learning | Data Analysis | Data Visualization | Data Cleaning

Specializes in
I am a Information Systems Engineering major and currently a Data Analyst/Data Science Intern in Huawei Technologies. My day-to-day work consists of cleaning data in python, creating models to make prediction, change and tune models frequently based on demand of customers. I strongly believe that everything is solvable and learnable, as long as there is a problem, I will try my best to find a solution. Skills that I possess: - Python, Pandas, Matplotlib, Seaborn, Scikitlearn - Machine Learning algorithms like Linear Regression, K Nearest Neighbors, Random Forest and many others - Process Mining algorithms like Alpha Miner, Heuristic Miner, Inductive Miner and others - SQL on big data What I am proficient in: - Data Cleaning/ Data Processing - Data Visualization - Machine Learning - Process Mining What I can offer: - Cleaning and processing data of up to millions of rows based on requirements given - Create Insightful Visualizations (Python/ Power BI/ Excel) - Create Machine Learning models that can make prediction or classification based on the given data - Given process log, I can create process models which show clearly how the business process is run based on real data and find anomalies in the business process - Any other related projects are also welcomed!
No items

Portfolio

In this project, the client which is a social media & content creation company which wants to know the top 5 categories with the largest aggregate popularity. Project Significance: - Suggest which content categories will be able to drive the most user growth - Help the client understand which type of contents are the most popular on their platform
Accenture Virtual Internship
In this project, the client which is a medium size bikes & cycling accessories organization. They want to know which of the recently acquired 1000 customers should be targeted based on the given dataset. Project Significance: - After performing RFM analysis, we can find which customers should be the focus of the company and will bring the most value. - Help the company target the right customers that drive the most value.
KPMG Virtual Internship Dashboard
Want to see more? Create Account

Skills

More than 30 hrs/week

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