General Info
Professional Track
- Information Technology
Country
UzbekistanAreas of Expertise
- Artificial Intelligence/Machine Learning
- Health Sciences and Technology
- Educational Technology and E-Learning
Professional Interests
- Deep learning algorithms
- Medical diagnostics and imaging
- Interactive learning platforms
Age
28What will be your most valuable contribution to your TechWomen mentorship?
In the TechWomen mentorship, I will contribute my expertise in data science and programming, sharing practical insights and hands-on experience with my mentor and host company. Simultaneously, I will benefit immensely from my mentor's guidance, industry knowledge, and strategic insights. By immersing myself in a supportive and diverse environment, I will expand my network, gain a broader perspective, and access new career opportunities in healthcare technology.
The Top Three Things I Would Like to Learn or Experience During my Mentorship
- Deepen understanding of AI and machine learning applications in the health sciences field
- Learn effective techniques for leveraging technology in educational settings and e-learning platforms
- Gain insights into the intersection of technology and cultural exchange for fostering global collaboration
Mentorship Characteristic
- Attend company-wide meetings and/or team meetings
- Participate in a skills-building course, either provided by my mentor’s company or identify a free resource online
- Expand on a project that I’m working on in my current role at home
- Exposes me to new tools and platforms
- Gets me involved in day-to-day activities of the mentor and partnering company.
Ideal Company Type
As an aspiring technologist and advocate for gender equality in the tech industry, I bring a diverse background and a passion for leveraging technology for positive change. My interest in the intersection of healthcare & tech is personal: I lost my friend diagnosed with mesothelioma. I want to pursue my career in machine learning, mainly in early diagnosis tools. I am seeking a mentor who shares my interest in AI and health sciences and who can guide me in navigating the dynamic tech industry. I value a supportive and collaborative mentorship environment that fosters continuous learning and personal growth.
What are three adjectives that best describe you in the work place?
- Innovative
- Reliable
- Diligent
What impact will your mentorship have on your career and professional path?
Collaborating with a U.S.-based mentor through TechWomen will have a profound impact on my career and professional path by providing firsthand exposure to diverse expertise and invaluable knowledge. I will gain advanced insights in Data Science, honing my skills and empowering me to develop AI-driven healthcare solutions for early diagnosis and rehabilitation. This mentorship will fast-track my career, opening doors to new opportunities and enabling me to make a lasting impact in the field.
After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?
Through TechWomen experience, I am committed to empowering aspiring technologists in Surkhandarya and other regions by offering mentorship and sharing insights. To achieve this, I aim to establish a collaborative initiative that brings together volunteer experts to provide IT training and disseminate information about opportunities in the field. Furthermore, my passion for mentorship drives me to host a webinar, guiding and motivating individuals to participate in TechWomen and maximize its benefits. Leveraging my network, I will facilitate connections that support entrepreneurs and implement the best practices learned from the esteemed US standards within my incubator, university, and broader entrepreneurial community.
Work History
Years of Full-time Work Experience
5Primary Professional Focus
- IT systems and/or data analysis
- Software
- Technical training
Current/Most Recent Job
- Title and Company: Self-Employed, Self-Employed
- Direct Reports: 0
- Type: Full-time
- Location:
- Dates: –
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Responsibilities:
Coordinate and lead a delegation of women in IT from Uzbekistan to attend the Perspektywy Women in Tech Summit, securing scholarships for their participation; Plan and execute cultural exchange events, fostering collaboration and knowledge sharing among diverse groups of students
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Skills:
Strong event coordination and management abilities for successful delegation participation and cultural exchange initiatives; Effective communication and networking to establish partnerships and foster collaborations with diverse stakeholders in the tech industry and educational sectors
Education History
Institution #1
- Institution: Inha University
- Degree Awarded: Bachelor's
- Major: Computer Science
- Minor:
- Location: Tashkent, Uzbekistan
- Completion Date: June 1, 2017