Coaching, Mentoring, and Training: 3-in-1 Energized Career Growth
Launch your tech career with hands-on project learning.
Get off zero and start building real-world skills that employers value. Gain practical experience, showcase your work, and grow from a beginner to a confident professional.
âś… Totally free for project kickoff
âś… Matched with an industry leader
âś… AI empowerment
âś… Referral guarantee upon completion
đź’Ľ 75% Improve Career Readiness After One Project







What categories does the platform consider?
Data Science
Data Analysis
Data Engineer
Business Analysis





UX Design
UI Design
Product Design
Web Design



Frontend Developer
Backend Developer
Full Stack Developer
AI/ML Engineer
DevOps Engineer
Cloud Engineer


Product Manager
Product Marketing Manager
Associate Product Manager
Digital Marketing
Social Media Marketing
Growth Marketing
Product Marketing
How it works
With Career Shifu's hands-on projects, you can work on real-world challenges that help you build practical skills, enhance your portfolio, and make you more competitive in the job market.
Choose a project form shifu post
Browse shifu's details
Ask question about project
Kick off project
Select shifu
Message and scheduling together
Start you coffee chat
Latest Hands-on Projects from Career Shifu Posts
Insurance Claim Fraud Detection
This project involves analyzing insurance claims data to detect fraudulent activities using data-driven techniques. Students will explore fraud indicators and classify claims as legitimate or fraudulent.

· Students with an interest in insurance analytics
· Those with prior Python and SQL knowledge
· Students interested in risk and compliance roles
Possible Data Sources (NZ Market):
· Insurance Council of NZ reports
· NZ Government open data on fraud trends
Roles:
· Shifu (Mentor): Provide domain knowledge on fraud detection, review analytical approaches, and guide model selection.
· Tudi (Student): Implement fraud detection techniques, create dashboards, and present findings.
Retail Sales Performance & Consumer Behavior
Students will analyze retail sales data to understand customer purchasing behavior, identify revenue trends, and segment customers. The project will focus on revenue forecasting and customer segmentation to support business decision-making.

· Business, data analytics, or marketing students
· Those interested in e-commerce, sales, and consumer behavior
· Students with SQL and Python experience
Possible Data Sources (NZ Market):
· Retail NZ industry reports
· Consumer spending datasets from Stats NZ
· Online transaction data from e-commerce platforms
Roles:
· Shifu (Mentor): Offer guidance on business analytics, review customer segmentation models, and suggest improvements.
· Tudi (Student): Conduct sales analysis, implement forecasting techniques, and create business reports.
Transportation Efficiency & Optimization
This project will analyze public transport data to improve efficiency and passenger experience. Students will explore passenger demand trends, identify bottlenecks, and apply predictive analysis techniques to anticipate peak travel times.

· Students with an interest in transportation analytics
· Intermediate Python and SQL learners
· Those interested in logistics, mobility, and urban planning
Possible Data Sources (NZ Market):
· Auckland Transport open data portal
· Metlink public transport data
· NZTA (New Zealand Transport Agency) datasets
Roles:
· Shifu (Mentor): Provide industry insights on transportation analytics, review models, and suggest optimization techniques.
· Tudi (Student): Conduct data analysis, create predictive models, and design dashboards.
Census Data Insights & Socioeconomic Trends
This project focuses on analyzing census data to uncover key socioeconomic trends such as income distribution, population shifts, and migration patterns. Students will clean and preprocess raw census data, visualize trends, and build interactive dashboards that can be used by policymakers and businesses to make informed decisions.

· Ideal for students in data science, statistics, or economics
· Intermediate learners comfortable with Python and SQL
· Students interested in government, policy, and urban planning
Possible Data Sources (NZ Market):
· Stats NZ Census Data
· Ministry of Business, Innovation & Employment (MBIE) reports
· Local council open data portals
Roles:
· Shifu (Mentor): Guide students in data analysis best practices, provide feedback on methodologies, and support problem-solving.
· Tudi (Student): Perform hands-on data cleaning, analysis, and visualization; present insights to stakeholders.
Empower your learning with AI-powered hands-on projects
Take your skills to the next level with expert guidance and AI-assisted project execution. Whether you're a student or a professional, our hands-on approach ensures you learn by doing with the best tools available.
* Shifus should integrate AI into their guiding approach, using AI to assist students with hands-on projects, task automation, and skill-building exercises.

AI-Powered Learning
Industry-Specific Tools
Shifu-Guided Projects
Faster & Smarter Execution
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An easy-to-use system to connect with career advisors, career partners, and Shifu, enhancing real-time skills and competitiveness.


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Testimonials
"Instead of just theory, I got to build something real with my mentor’s guidance. This project not only boosted my skills but also strengthened my portfolio!"
"I wasn’t sure about my career path, but after a casual coffee chat with Shifu, I gained so much clarity. It felt like talking to a friend who truly understands the industry."
"Shifu gave me live feedback as I worked, helping me fix mistakes instantly. I feel much more confident in my skills now!"
"I expected just a simple chat, but I walked away with career advice, motivation, and even a few networking tips. The conversation was incredibly valuable!"
"Shifu didn’t just tell me what to do—they worked with me step by step on a real project. I learned more in one session than I did in months of self-study!"
"Sometimes, you just need a relaxed conversation with an experienced professional. This coffee chat gave me a fresh perspective on my career and personal growth!"
"I used to struggle with applying what I learned, but through this hands-on project, I finally understood how things work in real-world scenarios. It was the best learning experience!"
"Shifu shared personal stories and lessons that I would’ve never found in a book or course. That chat gave me insights I’ll carry throughout my career!"
FAQs
The price for a hands-on project can vary depending on factors like the scope of the project, the expertise of the instructors, and the resources provided.
Our hands-on project areas, based on various fields of expertise: such as Design, Software Engineering, Marketing, Business, Startups, Sales, and Data.
During the first kickofff, the Shifu will guide you on how to approach the project and help you learn from the experience. The kickoff is free, and if you wish to withdraw, you can do so at any time for a refund. However, once the official project process begins with the second session, we no longer offer refunds.
Yes, If you already have account please sign in, if you don't, please join our waitlist.
You can trust Shifu because they are experienced professionals with a proven track record in their field. Shifu is committed to helping you succeed by providing personalized guidance, sharing valuable insights, and offering actionable advice. With a focus on your growth, Shifu ensures a supportive environment, offering transparency and trust throughout the process.

Find your perfect career pathway!
- It takes just 2 minutes
- It’s completely free
- Receive customised results instantly
- Data, Design, Business, Marketing, Software Engineering, Software Development, Product, Accounting & Finance, etc


2. Attend kickoff meeting
3. Get started