Saba Soltan
Technical Support Engineer @Quantexa
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WORK HISTORY
Technical Support Engineer @Quantexa
London, GB
Quantexa is a leading provider of decision intelligence solutions, leveraging AI and big data analytics to deliver actionable insights. As a Technical Support Engineer, I provide advanced technical assistance to clients, ensuring optimal system performance and resolving complex technical issues. I also contribute to innovative projects like the News API, which employs NLP and clustering for intelligent news processing. Identify, troubleshoot, and resolve technical issues related to Quantexa’s software, including data integration, system configuration, and performance optimization. Document recurring issues and resolutions, contributing to an evolving knowledge base to streamline future support processes. Work closely with development teams to test new features, resolve complex bugs, and improve product offerings based on client feedback.
EDUCATION
Teesside University
Master's degree, Data Science
Azad University (IAU)
Bachelor's degree, Computer Software Engineering
SKILLS
ABOUT SABA SOLTAN
Summary A highly motivated and experienced technical support engineer with over seven years of experience in telecommunication and technology-based companies. My background includes installation and maintenance of broadband services, along with extensive knowledge of GSM, VAS, and related integrations.Over the past year, I have also studied data science and am interested in continuing my career in the field. My goal is to enhance my employers\' productivity, profitability and revenue through innovative thinking, learning, and collaboration. With strong organizational skills, a profit-oriented mindset, and the ability to work well with others, I am looking for an opportunity to leverage my experience and skills to make a significant contribution.That is not giving you much detail? So, read more in my LinkedIn profile. CAREER HIGHLIGHT Developed shell scripts to enhance service monitoring and improve system efficiency. Created time-saving solutions for hardware health checks, including developing scripts to automate the process. Provided revenue-increasing solutions to clients that resulted in over 20% cost efficiency. Key Skills & Core competencies: Data analysis Machine learning Linux System Administration Natural Language Processing (NLP) Cloud computing Shell scripting / BASH Microsoft Azure Web technologies SQL Databases
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