Summary
Overview
Work History
Education
Skills
Languages
Timeline
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San Kim

San Kim

Seoul

Summary

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Overview

7
7
years of professional experience
12
12
years of post-secondary education

Work History

Data Analysis Project

Personal Project
01.2024 - 02.2024
Project: Used Car Data Analysis Project Overview:

The Used Car Data Analysis project involved leveraging Python programming and data analysis libraries to explore and draw insights from a dataset of second-hand cars. This independent project aimed to enhance my skills in data preprocessing, analysis, and visualization, providing practical experience in extracting meaningful information from large datasets.

Responsibilities:
  • Data preprocessing, cleaning, and feature engineering
  • Utilizing Python libraries (Pandas, NumPy, Seaborn, Matplotlib) for data analysis
  • Conducting correlation analysis to derive valuable insights
  • Visualization of data patterns and trends
Key Technologies Used:
  • Programming Language: Python
  • Libraries: Pandas, NumPy, Seaborn, Matplotlib
Project Details:
Project Achievements:
  • Successfully preprocessed and analyzed a diverse dataset of used cars.
  • Extracted insights into the correlation between different features and their impact on pricing.
  • Strengthened proficiency in Python for data analysis and visualization.


Machine learning project

Undergraduate Projects
11.2022 - 03.2023
Project: Construction of a Heart Disease Prediction Model Project Overview:

This project aimed to construct a machine learning model predicting the likelihood of heart disease using medical data. Conducted as part of a university machine learning project, it provided valuable experience in handling medical data and developing predictive models in the healthcare domain.

Responsibilities:
  • Data preprocessing and feature selection
  • Implementation of machine learning algorithms and model training
  • Performance evaluation and model improvement
Key Technologies Used:
  • Programming Language: Matlab
  • Data Processing and Analysis Library: Utilized Matlab's built-in functions and tools.
Project Details: Project Achievements:
  • The machine learning model using medical data demonstrated accurate predictions, earning the project the distinction of being selected as the best.
  • Strengthened machine learning capabilities through experience in handling medical data and developing predictive models in the healthcare domain.

Through this project, a deeper understanding of the intricacies of medical data and enhanced proficiency in implementing machine learning models were successfully achieved.

CAD design engineer internship

M&S die engineering
05.2017 - 08.2017
  • Used 3D CAD software to present concepts for new product lines.
  • Developed product and model prototypes.
  • Created stunning visualizations using systems such as CAD, CAN and CAM.

Education

Bachelor of Science - Electronic Engineering

King's College London
London
09.2017 - 07.2023

Diploma of Higher Education - International Baccalaureate

NLCS Jeju
Seogwipo
09.2011 - 06.2017

Skills

  • Data extraction
  • Data Analysis
  • Python
  • Big Data
  • Machine Learning
  • Data preprocessing
  • Handling Data Outliers

Languages

English
Fluent
Korean
Native

Timeline

Data Analysis Project

Personal Project
01.2024 - 02.2024

Machine learning project

Undergraduate Projects
11.2022 - 03.2023

Bachelor of Science - Electronic Engineering

King's College London
09.2017 - 07.2023

CAD design engineer internship

M&S die engineering
05.2017 - 08.2017

Diploma of Higher Education - International Baccalaureate

NLCS Jeju
09.2011 - 06.2017
San Kim