先端IT特化型就労移行支援事業所チームシャイニー(秋葉原)

You can actively study in a calm environment.

I'm a former employee. December 28, 2020 I received power harassment and suspected harassment from Chairman Yuji Yoshimi at a meeting I was not attending. Currently preparing for a civil proceeding with a lawyer. In addition, on HP, entitled "Four Rules", "Do not blame or deny the other party" "Let's say your own claim, but let's listen to the other party's claim" "Do not dislike or bother everyone" " "Let's have respect and compassion for the other person", but the president himself takes the initiative to go against everything. Request to remove HP.

It is my personal opinion after using it as a user for 2 months. I entered with no programming experience. If you are considering using it based on that, please refer to it. Team Shiny is a business establishment that was established in October 2020 and is operated by the NPO "Meeting for Supporting People with Developmental Disabilities". The same NPO operates Shiny Ryogoku and Shiny Kinshicho. The staff of Team Shiny Akihabara is a former user of Shiny Ryogoku and Shiny Kinshicho. ☆ From here, it's my imagination →→ It takes a certain amount of ground to gather high-quality human resources with IT technical staff, but Shiny Ryogoku and Shiny Kinshi, which are gathering people who are interested in IT as users in the first place There were a few people in the town who had a track record of working as IT engineers, and there were people who could do more than inexperienced people working on hobbies, so Team Shiny Akihabara is a new employment transition support office specializing in advanced IT in Akihabara. Was set up and assigned as a staff member by sliding a relatively skilled user. (At that time, I have not investigated whether it was counted as the employment record of both countries and Kinshicho). By doing so, it is possible to clear the prima facie securing of technical staff, which is usually difficult. ☆ This may be a way of looking at it, but from my point of view, it looked like this →→ As a merit for the former user who was hired as a technical staff, he decided to work on an escalator. Team Shiny is, to put it simply, "companion style", such as "Staff and users study together." If you look at it from a different angle, you will be able to spend time dealing with users with one hand, focusing on your own study. ☆ From my point of view, the purpose of establishing this employment transition support office is that if you gather people who are a little familiar with IT, the deadline (in the case of users, the employment transition support office will be used for 2 years). Regardless of the situation, if you can concentrate on learning as a team for IT competitions, etc., and if you get any results in it, it will be the achievement of the NPO "Meeting to Support People with Developmental Disabilities". It may be profitable to receive a job from another company, but the chairman is also fun and studying, and two birds with one stone. For that reason, the system called "working transition support office" is used as a covert or alibi. The reason why it looked like this was that there were almost no staff members who worked on users every day from the perspective of "human resources education" for employment. In addition, users can learn by themselves at home, such as books and free learning video sites on the Web. While doing that, the style is "Please tell me if you have any questions." ☆ Fact →→ It was written on the previous homepage that "specialized staff of data science is resident" (currently deleted due to my deletion request). In addition to the considerable individual differences in the expertise of the staff, all the staff in the data science were in a state of "studying from the beginning". ☆ Problems that occurred →→ I heard that there are three or more staff members who quit due to the power harassment of the chairman after I quit. I've heard it, so I don't know the details. (I don't know because I'm not very involved with the chairman. However, when I talked about wanting to quit the office, it was very simple, and for some reason, "a business with higher quality staff." There is no place. ”By the way, when I left here and went to another office, I had a much higher quality curriculum and staff.) In addition, some staff members unintentionally (unknowingly) harass women, which is not easy-to-understand sexual harassment, but when you notice it, communication hurts your heart. I quit this without raising any particular issues to the office. (Because I don't want to be resented) From the above, I think that IT beginners should not use it. Then women will need to stay away from the staff. It might be a good place for a man who has a lot of IT and wants to piggyback on the chairman's ambitions! Lastly, I have visited and used many employment transition support offices, but there are many poor quality points, such as whether they are taking advantage of people with disabilities who are vulnerable to employment, or whether they do not know what to do. After all, if you use a tax of about 250,000 yen a month, you will enter the business office, so please carefully determine the business office you use!

[Comprehensive evaluation] Very bad ★ ☆☆☆☆☆ Education system, quality of engineer staff, employment method, backup system for employment, all of which are not in place to train and employment data scientists It is extremely unlikely that you will be able to find a job as a data scientist or machine learning engineer through this facility. [Education system] Very bad ★ ☆☆☆☆☆ Regarding the education system, a self-study style where you learn by yourself by watching free videos on the Web from the beginning. If you don't understand something, ask the resident engineer staff, so it's not much different from studying at home. The quality of the resident engineer staff is also quite low, so they are very poor at teaching and communicating. In many cases, it is not possible to grasp where the user is stumbling and obtain correct knowledge. I understand that self-study is an important learning method for professionals such as engineers and designers, but if you suddenly let a beginner learn by self-study without solidifying the basics from the beginning, the rate of frustration is very high, and Since weird habits and misunderstandings unique to self-education are inevitable, there is a high possibility that they will be defeated during document screening and interviews and will struggle when finding employment. [Quality of engineer staff] Very bad ★ ☆☆☆☆☆ Since the engineer staff employs users of the same affiliated employment transition support office as engineer staff, there are staff who have actual experience of being hired by the company as data scientists and machine learning engineers and having practical experience in the company. do not. Therefore, the ability of the engineer staff is very low, and where are the users stumbling? What are the points you don't understand? I haven't been able to grasp such things. Also, since the engineer staff has no employment experience as a data scientist, what kind of fields should be developed to lead to employment by understanding the measures for document screening and interviews and the strengths of individual users toward employment? What skills should I acquire for the company I want to work with? There is a very high possibility that users will struggle when they actually want to get a job because they cannot devise correct employment measures. Data scientists are a very popular professional occupation, and the number of applicants is increasing year by year, and even if you are taught by a veteran data scientist who has practical experience in a company, it is very difficult to get a job if you start from inexperienced. It is quite difficult to be told if you can get a job by being taught by the staff. Former users who have no work experience in a company as a data scientist in the first place How about calling it "a staff of engineers who are familiar with data science is resident"? [Job hunting method] Bad ★★ ☆☆☆☆ Not long ago, it was certainly effective to get results in competitions such as Kaggle and Signate and get a job. Currently, this method is effective for new graduates or people with work experience, and there is no doubt that it will work in favor of the employment rate if it is sold together with future potential and work experience so far. Considering the current situation, it is quite difficult for inexperienced people to win competition medals and titles aiming for mid-career recruitment and aim for employment by themselves. Now that the popularity of data scientist jobs is increasing, the pattern that companies want most in the complete buyer market is mainly those with practical experience who are ready to work, and if it is absolutely impossible to hire, hire inexperienced people. Very many. The people hired at that time have solid basic skills, such as those who have completed a solid data scientist-related educational institution (of course, Team Shiny does not fall under this category) and those who have been educated by veteran data scientists. There is a tendency for certain personnel to be hired. [Backup system for employment] Very bad ★ ☆☆☆☆☆ Since Team Shiny was not originally established as a employment support derived from a major company or a company that provides human resources services, even if you join Team Shiny, there is a possibility that it will arrange a job as a data scientist or a machine learning engineer. Is extremely low at present. In the first place, the users of affiliated employment support facilities are used as engineer staff of Team Shiny. It is undeniable that there is no know-how for mid-career hiring because there are no human resources who have succeeded in finding employment as data scientists because they are hiring. As mentioned above, the engineer staff also do not have practical experience in the company, so they do not know the plan design and learning plan for the desired company and how to prepare documents and interview measures. I have to take the initiative in everything, and I have to evaluate that the backup system for employment is also very bad.