Summary
Overview
Work History
Education
Skills
Publications
PROJECT EXPERIENCE
Timeline
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LIU MOHAN

LIU MOHAN

Summary

I am a research-oriented individual with a multidisciplinary background, holding a Bachelor's degree in Information Systems and Management and currently pursuing a Master's degree in Artificial Intelligence Systems. My greatest strength lies in my ability to self-learn. Despite limited formal coursework in artificial intelligence during my undergraduate studies, I proactively explored the field through self-directed learning. I completed Andrew Ng's Machine Learning and Deep Learning courses on Coursera and am currently following Stanford's CS224n Natural Language Processing course. These experiences showcase my ability to quickly adapt to and master new and complex topics.I am highly proactive and deeply curious, consistently seeking out new challenges and knowledge to expand my understanding. This adaptability and independence are key strengths when tackling complex issues, even beyond the scope of formal training.


Overview

1
1
year of professional experience

Work History

Data Analyst

Beijing Kwai Technology Co., Ltd
06.2023 - 08.2023
  • Extracted, arranged, and combined required data using Hive SQL;
  • Processed data such as total consumption, daily average consumption, and various advertising indicators like user click-through rate and registration rate using Excel;

Research Apprentice

Mark Vogelsberger - MIT
06.2023 - 08.2023
  • Developed an application using Python programming and data visualization libraries such as Matplotlib and Tableau, to visualize and analyze global traffic data and its impact on the spread of diseases like COVID-19;
  • Using Prophet algorithm to analyze financial time series data, and created a predictive model for portfolio performance based on identified correlations;
  • Conducted a study on the correlation between population growth and housing price increases, using Python for data retrieval, exploration, and visualization, and compared these trends across different countries;

Project Leader

BJTU Business Analysis and Machine Learning Course Project
05.2022 - 07.2022
  • Leveraged R programming for data cleaning and preprocessing;
  • Developed pertinent mathematical models to analyze the data;
  • Implemented the Random Forest algorithm using R for robust model evaluation and optimization;

Education

Master of Artificial Intelligence System -

National University of Singapore
Singapore
10.2025

Bachelor of Information system and information management -

Beijing Jiaotong University
Beijing
07.2024

Skills

  • Artificial Intelligence Research
  • Neural Networks
  • Machine Learning
  • Data Analytics
  • Python Programming

Publications

Mohan Liu, the first author, Prediction of European Umemployment Rate by Machine Learning Algorithm in the Context of Russo-Ukrainian War, (Paper ID: ML080), 2023 International Conference on Data Analysis and Machine Learning (DAML 2023), 11/06/23

PROJECT EXPERIENCE

Interdisciplinary Contest In Modeling (ICM)

Meritorious Winner (Top 5%)

  • Using python(pandas,numpy) to clean the data and select the required features
  • The dimensionality reduction of data is processed by PCA algorithm
  • Using TOPSIS algorithm to evaluate the model


Timeline

Data Analyst

Beijing Kwai Technology Co., Ltd
06.2023 - 08.2023

Research Apprentice

Mark Vogelsberger - MIT
06.2023 - 08.2023

Project Leader

BJTU Business Analysis and Machine Learning Course Project
05.2022 - 07.2022

Master of Artificial Intelligence System -

National University of Singapore

Bachelor of Information system and information management -

Beijing Jiaotong University
LIU MOHAN