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Alexander Kornyukhin
Senior Software Engineer/Data Scientist at Capgemini
Professional Background
Alexander Kornyukhin is a dynamic and passionate leader in the realms of IT and Data Science, currently based in the vibrant city of London, UK. He has built a robust career that seamlessly intertwines technology and business analysis, making him a valuable asset to any organization looking to harness the power of data. His extensive expertise spans various domains, including software development, machine learning, and deep learning. Alexander is constantly on the lookout for new opportunities that allow him to grow professionally, while also seeking to connect with interesting individuals who share his enthusiasm for technology and innovation.
Alexander's professional journey has equipped him with the skills necessary to excel in multiple roles within IT and Data Science. His career commenced with a solid foundation in computer science, leading him to serve as a Junior Consultant at IBS, where he honed his analytical skills and gained insights into the workings of the tech industry. He has since transitioned into more advanced roles, showcasing a trajectory that reflects his dedication and skillset.
In his most recent position as a Senior Software Engineer and Data Scientist at Capgemini, Alexander utilizes his deep understanding of data science alongside enterprise architecture principles such as TOGAF and Archimate. His emphasis on business analysis includes requirements management, business process analysis, and project and customer management, establishing a bridge between data-driven insights and organizational objectives.
Moreover, Alexander's expertise in data science encompasses machine learning, statistics, and deep learning. He skillfully employs visualization tools like Tableau and libraries such as seaborn, matplotlib, and plotly to convey complex data insights in a digestible and impactful manner. His technical prowess extends into web development, where he adeptly utilizes languages and frameworks such as Python, Flask, React, HTML, and CSS, showcasing his well-rounded skillset.
Education and Achievements
Alexander Kornyukhin holds a Master's degree in Information Technology and a Bachelor's degree in Computer Science, both acquired from the esteemed National University of Science and Technology “MISIS” (Moscow Institute of Steel and Alloys). His educational background has provided him with a comprehensive understanding of the theoretical and practical applications of computer science and information technology.
Throughout his academic and professional endeavors, Alexander has achieved numerous milestones. At Baker Hughes, a GE Company, he undertook multiple roles during different rotations of the Developmental Training Leadership Program (DTLP). As a Data Scientist, Data Analyst, and Solution Architect, Alexander demonstrated his capability to adapt and thrive in various environments, enhancing his skills and understanding of data's role within business processes.
His contributions have undoubtedly impacted the organizations he’s been part of, showcasing his ability to manage data-driven projects effectively. His innovative approach to problem-solving and strategic thinking ensures that he not only meets business objectives but exceeds them, adding invaluable insight to data initiatives. Alongside his professional achievements, Alexander remains committed to continuous learning and self-improvement, always seeking to expand his knowledge and technological skillset.
Key Achievements
- Senior Software Engineer/Data Scientist at Capgemini: Alexander is currently leading projects that leverage data science and software engineering to drive business innovation and efficiency.
- Developmental Training Leadership Program (DTLP) at Baker Hughes: Successfully completed three rotations within a leading tech company, gaining hands-on experience as a Data Scientist, Data Analyst, and Solution Architect.
- Strong Background in Enterprise Architecture: Expertise in TOGAF and Archimate methodologies that support effective enterprise frameworks and alignment between IT strategy and business goals.
- Advanced Data Science Skills: Proficient in machine learning, deep learning, and statistics; Alexander effectively translates complex data into actionable insights for various stakeholders through modern visualization techniques.
- Extensive Web Development Knowledge: His technical skills encompass Python, Flask, React, HTML, and CSS, enabling him to contribute to various fronts of software development projects.
- Commitment to Continuous Learning: Alexander demonstrates a lifelong commitment to personal and professional development, always on the lookout for new advancements and technologies to embrace.
In conclusion, Alexander Kornyukhin embodies the essence of a modern tech leader, passionately navigating the intersection of data science, software engineering, and business analysis. His continuous pursuit of knowledge and improvement positions him as a key player in any innovative organization aiming to leverage data for strategic success.