Vladislav Gromov

Education

• University: Moscow State University, Faculty of Computational Mathematics and Cybernetics Years Attended: 2014–2018 Degree: Bachelor of Computer Science with a focus on Artificial Intelligence and Search Engine Optimization
• Advanced Degree: Master of Science (MS) in Data Science and Machine Learning, Skolkovo Institute of Science and Technology (Skoltech) (2018–2020)

Additional Training and Certifications Certification:

• "Deep Learning Specialization" by Coursera and DeepLearning.AI (2021)
• Certification: "Advanced Search Engine Optimization (SEO) Strategies" from Moz Academy (2019)
• Workshop: "AI in Search Engines and Digital Marketing" by Stanford Online (2022)

Languages

• Russian (Native
• English (Fluent)

Career History

Performing in-depth SEO audits for client websites, identifying issues with page speed, indexing, and on-page optimization. Building relationships with bloggers and influencers for effective link-building partnerships. Working with web developers to implement technical SEO fixes. Conducting ongoing optimization and reporting on organic traffic growth and keyword performance.

Developing and executing SEO strategies to enhance website visibility and traffic. Conducting keyword research, technical audits, and competitor analysis to identify growth opportunities. Managing link-building campaigns to improve website authority and search engine rankings. Collaborating with content creators to optimize articles for search engines and ensure relevant backlinking. Monitoring SEO performance metrics and adjusting strategies to achieve the best possible results. Staying updated on Google algorithm changes and SEO best practices to maintain high rankings.

Professional Skills

• Advanced SEO strategies, including technical SEO, link-building, and content optimization using AI.
• Expertise in AI development, particularly in creating algorithms that assist with user intent predictions and SEO automation.
• Strong knowledge of natural language processing (NLP) for content generation and enhancement.
• Skilled in Python, TensorFlow, and Google’s AI tools for SEO advancements.
• Experience leading cross-functional teams in the development of AI solutions tailored to digital marketing and SEO.

Personal Qualities

• Comunicativa, capaz de transformar conceptos financieros complejos en contenido fácilmente comprensible para inversionistas y el público en general.
• Pensadora estratégica, con capacidad para alinear las estrategias de contenido con los objetivos generales de relaciones con inversionistas y comerciales.
• Altamente organizada, capaz de gestionar múltiples proyectos de contenido y relaciones con inversionistas simultáneamente.
• Apasionada por fomentar relaciones a largo plazo con inversionistas y socios a través de la transparencia y la confianza mutua.

Publications

Research Paper:

• "The Impact of AI on SEO: How Machine Learning is Reshaping Search Engines" (2022).
• Published in the International Journal of Digital Marketing, detailing the role of AI in evolving SEO strategies.

Whitepaper:

• "Predicting Search Trends Using AI: A New Approach to Content Strategy" (2021).

Professional Activities

• Speaker at the Global AI in Marketing Conference (2023)
• Panelist on "AI and SEO: The Future of Digital Marketing" at the International Search Summit (2022)

Awards and Memberships

• Winner of "Best Use of AI in SEO" at the Global Digital Marketing Awards (2022)
• Member of the AI in Marketing Association (AIMA)

Interests and Hobbies

• Passionate about exploring the applications of AI in various fields, including SEO and digital marketing.
• Avid chess player, enjoying the strategic thinking and pattern recognition that aligns with his work in AI.
• Enjoys participating in hackathons focused on AI and machine learning innovations.