Position: Lead Generation, Research and Data Annotation
Category: Lead Generation
English level: upper
Years of experience: 2


As a passionate and results-oriented professional with a demonstrated track record in lead generation and data-driven marketing, I am excited to apply for this position.

During my tenure as a Data Researcher (Lead Generation) and Data Annotation Specialist at Helpware, I was responsible for both the accurate annotation of data and the strategic generation of leads. While annotating data, I honed my skills in object detection, image segmentation, text categorization, sentiment analysis, and named entity recognition. These experiences taught me the importance of precision and attention to detail, qualities that are invaluable in lead generation.

To enhance our online visibility and attract organic leads, I conducted extensive keyword research. By identifying relevant keywords and search terms, I successfully improved the company's search engine rankings, resulting in higher inbound leads and increased website traffic.

My proficiency in data visualization tools allowed me to present crucial lead generation insights to stakeholders effectively. I believe that visualizing data is essential in conveying complex information clearly and making informed business decisions.

Collaborating with cross-functional teams has been pivotal in my lead generation success. I actively worked with data scientists, engineers, sales, and marketing teams to optimize the lead generation funnel. By identifying potential bottlenecks and implementing strategic improvements, I significantly enhanced lead conversion rates and contributed to the company's revenue growth.

I am confident that my passion for lead generation, combined with my strong analytical abilities and cross-functional collaboration skills, make me an excellent fit for this area.
First of all, I consider vacancies that are related to lead generation and can teach me something new, it is always important for me to improve my qualifications.