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###### tags: `interview`
# Self Promotion

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- [Page Link](https://hackmd.io/@X3gJbQadTm6i1CdOB20Gzw/B1FjrJNWn)
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**Hello there**
Using HackMD has been helpful in generating and organizing my ideas effectively. So I use it to write my self promotion

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| LIFE ME | Base Ball Feild ME |
| ------------------------------------------ |:------------------------------------------ |
|  |  |

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Here is my Self Promotion topic
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[TOC]

## Overview
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**Hello, my name is `FAN CHI YU` `范紀予`.**
- I'm passionate about exploring and learning the latest insights in various fields.
- In 2020, I ventured into the field of information technology.
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### Position Applied : Data Dev
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2023 TECH FRESH Summer Class - Data Dev
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### Reason for Application
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- Interest in ML-Ops, federated learning, and other AI systems:
- The candidate has a strong interest in these areas and is likely to be motivated to work in data field.
- Previous back-end AI system experience:
- The candidate's previous experience in this area will be valuable in the internship and can contribute to the growth of the company.
- Bachelor's degree in marketing:
- The candidate has a background in marketing provides domain knowledge that can be useful in data science roles
- Dream to join Line company:
- The candidate has a strong motivation to join Line company, which can lead to a greater commitment and dedication to the internship.
- Ps: Join the Line Dev 2021
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### Education:NTNU/CSIE
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- Currently studying at:
- **NTNU: CSIE**
- National Taiwan Normal University, Institute of Computer Science and Information Engineering
- Research field:
- Data Science and Natural Language Processing (NLP)
- Lab:
- Data Mining Lab **(Data Mining &Machine Learning &Deep Learning & NLP)**
- Expertise:
- **Back-end, Machine Learning and Recommendation System**
- Courses:
- **EDA/ML/distributed system**
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## Experiences

### Study Cat: **Data Scientist (2020)**
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Gained insights into data-driven decision making and predictive modeling.
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* Applied statistical learning techniques to analyze and present user behavior data, including collecting user usage data and using time series analysis to predict user behavior patterns.
* Conducted NLP analysis to measure the impact of different word combinations on consumer behavior, identified areas where learning effectiveness might have decreased, and provided feedback to both students and teachers on their focus levels during the learning process.
* Developed a data collection system for monitoring student focus levels during learning, and utilized the resulting model to significantly improve exam scores, achieving a high accuracy rate of up to 90%.
* Utilized AWS to design system architecture and implemented NLP analysis and Python for data processing and modeling.

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### WormHole Tech: **Backend Data Engineering (2021)**
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Developed a keen understanding of the relationship between
front-end and back-end systems.
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Worked on projects such as:
- Taiwei Industrial Intelligent Manufacturing System:
- Collected data from MQTT server.
- Predicted machine life cycle.
- Reduced electric consumption by **5%**.
- Xinxing Electronic IQC System:
- Learned the entire development and design process.
- Understood how functional specification documents evolve into fully functional systems.
- Leveraged prior experience in the warehouse domain to optimize the system.
- Listened to client needs, gathered requirements, and developed solutions accordingly.
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### Ruxis Information:**Back-end Engineering Intern (2022)**
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- Design Clean Architecture for easy unit testing, and separate backend into DB, Function, Test, and API.
- Apply DFS technique to find and fix Microsoft Secure Issue related issues by searching for similar Secure Issues and fixing them quickly.
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## Personal Data Science Projects

### Legal Tech HackaThon :Judge System (2021)
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- Participated in the Legal Matsusuke Commercial Competition, creating predictive models and analyzing the commercial implications for future prospects in the legal sector.
- Expanded my knowledge in various data science and NLP(TF-IDF) techniques.

| Static | ML |
|:------------------------------------------:|:------------------------------------------:|
|  |  |
| Crawler | DL |
|  |  |

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### Open domain QA (2022)
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This project, plan to create
- QA system using the baseball wiki as a template to generate related QA questions.
- We will utilize two techniques to build this system:
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- Information Retrieval System: We will use an information retrieval system to search the baseball wiki and retrieve relevant articles and sections based on the user's input question. This will help us to identify the relevant information and present it to the user.

- retrained models: We will use pre-trained models to generate questions based on the retrieved information. These models will help us to generate questions that are relevant and closely related to the user's input.
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By combining these techniques, we aim to create an **efficient and accurate QA system** that can help users to quickly find the information they need.
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### NSTC Project: Analysis of Web User Mental Health (2023):
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- Assessed the mental health of users.
- Predicted whether a poster's mental state is healthy or unhealthy.
- Enabled the language model to identify unhealthy stances.

| Model (Prompt learning) | Strucute |
|:------------------------------------------:| ------------------------------------------ |
|  |  |
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## Achievements:
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| Participated in data competitions | Toeic: 775 |
|:------------------------------------------:| ------------------------------------------ |
|  |  |
| Enhanced problem-solving skills and industry insights. | |

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## Highlighted skills:
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- Data collection:
- Proficient in gathering extensive data using various methods, followed by data cleaning, integration, and transformation for subsequent analysis.
- Data analysis:
- Skilled in using various statistical analysis methods (e.g., regression analysis, machine learning, data mining) and enhancing model prediction accuracy through result evaluation and adjustment.
- Data visualization:
- Expert in converting analysis results into easy-to-understand charts, providing valuable insights through visualizations.
- Innovative thinking:
- Capable of formulating new hypotheses and solutions by exploring and analyzing data, discovering new business opportunities beyond conventional frameworks.
- Natural Language Processing skills:
- Sentiment analysis: Gaining insights into consumer thoughts to help employers improve their services.
- Quick learner:
- My experience in learning new technologies across different fields demonstrates my adaptability.
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## Final
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- I kindly request you to consider my application, as I bring a harmonious blend of professionalism, creativity, and attention to detail
- qualities that every recruiter seeks in an ideal candidate.
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## Connection information

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- [GITHUB](https://github.com/FANJIYU0825)
📫 [e-mail]
<a href="https://linkedin.com/in/https://www.linkedin.com/in/tony-fan-872aa5140/" target="blank"><img align="left" src="https://cdn.jsdelivr.net/npm/simple-icons@3.0.1/icons/linkedin.svg" alt="https://www.linkedin.com/in/tony-fan-872aa5140/" height="30" width="30" /></a> <a href="https://sites.google.com/view/tonyfan/" target="blank"><img align="center" src="https://cdn.jsdelivr.net/npm/simple-icons@3.0.1/icons/medium.svg" alt="文組人協槓人生" height="30" width="30" /></a> <img align="center" src="https://github-readme-stats.vercel.app/api?username=fanjiyu0825&show_icons=true" alt="fanjiyu0825" >

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