GOALS

• Identifying promising startups that are leveraging cutting-edge technologies to disrupt traditional industries
• Networking with other investors, entrepreneurs, and industry experts to stay ahead of the curve and identify potential investment opportunities
• Staying informed about regulatory changes and government policies that could impact investments in technology companies

Frustrations

• The competitive nature of the venture capital industry and the constant pressure to find the next big thing before anyone else
• The difficulty in assessing the long-term viability and scalability of startups operating in emerging technology sectors
• The lack of diversity in many startup founding teams, which can limit innovation and market reach

GOALS

• Deepening her understanding of artificial intelligence and machine learning algorithms to improve her data analysis skills
• Exploring career opportunities at companies that are at the forefront of technological innovation and offer opportunities for growth
• Finding a mentor or role model in the data science field who can provide guidance and support

Frustrations

• The lack of diversity in the tech industry, particularly in leadership positions, making it harder to envision herself succeeding in the field
• The pressure to constantly learn new skills and programming languages to remain competitive in the job market
• The potential ethical implications of data science work, particularly in areas like facial recognition or predictive policing