A matching specialist who validates your intuition with AI and scientific evidence
Years of cultivated experience and intuitive power are certainly your strengths. But don't you sometimes hesitate at crucial decision moments, wondering "Is this really the right choice?"
What if you could back up that excellent "intuition" with scientific evidence and use AI and IT power to analyze "what to do and how to do it" to increase results by more than 10 times?
I have uncovered 'invisible matching' across numerous industries including entertainment, human resources, investment, and matchmaking. At a major entertainment company, I solved the hiring manager's dilemma of 'can't decide based on academic credentials alone' by quantifying intuition through personality analysis, achieving over 100 million yen in annual cost savings.
For a popular idol group, I answered management's question 'we understand through experience, but what should we do next?' by building apps and proving with data, creating previously unnoticed discoveries and sustainable PDCA cycles.
What I can help you with is transforming the excellent judgment you already possess into confidence.
Please consult with me for such decisions.
Built fan sites for a famous idol group and analyzed users. Extracted 'what users want' and 'what dissatisfactions they have' from speech and behavior that had previously been managed through 'intuition' and 'experience.' Successfully achieved continuous fan engagement improvement by operating points as a 'second currency' through a point system.
Used AI to diagnose university students' personalities and aptitudes, analyzed their personalities to determine suitable and unsuitable careers. Built a system that recommends personalized job openings and companies matching each individual's aptitude.
Developed a system to convert points under 2000 yen that 63% of Japanese people have surplus into investments. With user permission, analyzed users' purchase trends to understand their personalities and recommended more attractive consumption behaviors and investment thinking and styles.
In serious marriage-oriented dating support systems where only specific individuals match while many others don't, built a rule-based recommendation system that suggests unexpected candidates with 'high compatibility potential despite not meeting stated preferences' based on user demand and trends.
For high school students who don't clearly understand what 'jobs' exist, analyzed the most suitable careers through personality-based diagnostic tests, then recommended university/vocational school courses and departments based on results, building a high-response document request system.
Built a system that narrows down car models and manufacturers from vague cost expectations and usage scenarios, presenting optimal used cars from databases to help users more easily find their desired vehicles.
For an international religious organization with strict precepts, built a dating system that matches optimal believers through machine learning and rule-based analysis of narrative religious views and happiness concepts, rather than simple YES/NO or 5-point scales.
In a major entertainment company's special environment where being smart alone doesn't guarantee performance, researched 'high performers' and 'low performers' to identify which personality factors affect performance. Used these insights to create personality tests for primary recruitment screening, dramatically reducing administrative work for filtering applicants and saving 100 million yen annually.
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