Careers in Data Science, Analytics, AI, and Technology

Target Audience
● University students and recent graduates interested in data science, analytics, AI, or tech roles
● International students planning to study or work in Australia
● Early-career professionals unsure how to break into data or tech roles
● Students confused about degrees, skills, tools, and job outcomes in tech

Focus Areas
● Understanding career paths in data science, analytics, AI, and technology
● Choosing degrees, electives, and skills that align with real job outcomes
● Building an employable profile for graduate and entry-level roles
● Navigating internships, graduate programs, and first job applications in Australia
● Resume positioning, project selection, and skill prioritisation
● Setting realistic expectations about timelines, competition, and outcomes

Time
● Suggested Duration: 4–6 sessions (flexible based on your needs)
● Frequency: Every 2–4 weeks
● Session Length: 1 hour
● Scheduling: At your convenience—we work around your life

Delivery Mode
● Online via secure video (Google Meet)

Session Structure
● Understand Goals: Clarify your career goals, interests, and what you’re aiming for in data science, analytics, AI, or tech
● Understand Background: Review your education, skills, experience, and current gaps relative to the Australian job market
● Make a Plan: Build a practical roadmap covering skills, projects, internships, and job applications
● Set Expectations: Discuss realistic timelines, competition, visa or work-rights considerations, and likely outcomes

Expected Outcomes
● Clear understanding of data science, analytics, AI, and tech career paths
● A realistic plan to move from university to first roles
● Better alignment between your degree, skills, and job applications
● Increased confidence navigating the Australian tech job market
Fewer wasted efforts on low-return courses, tools, or applications

Cost
● 50 AUD per session, 1 person per session

Mentoring Offered By
● Preetika Sastry