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Tornike Mzhavia
Data & Applied Scientist at Microsoft
Professional Background
Tornike Mzhavia is a highly skilled and experienced Data Scientist known for his proficiency across various fields including fraud detection, automation, trading, gaming, and human resources. With a strong foundation in computer science and engineering, he has made significant contributions to the data science community, particularly during his tenure at Microsoft as a Data & Applied Scientist. His role at Microsoft has been instrumental in honing his skills in databases and programming languages such as Python and C#.
Prior to joining Microsoft, Tornike honed his expertise at several organizations, including Skillific, where he served as a Data Scientist, applying advanced data analysis techniques to drive business decisions and improve customer experiences. His career also includes pivotal experiences as an AI Developer at Neiron and Data Engineer at NGX Bio, where he developed innovative solutions to complex problems. His foundational roles as a Software Developer at Steadylogic and GBS Soft, coupled with his strategic insight as an IT Manager at BTL - Business Travel Leisure, have provided him with a well-rounded perspective on the convergence of technology and business strategies.
As a result of his diverse professional background, Tornike has become adept at navigating the evolving landscapes of technology, pairing his engineering acumen with data-driven decision-making to achieve business objectives.
Education and Achievements
Tornike's educational journey is equally impressive, boasting a Master of Science (M.Sc.) in Mechatronics, Robotics, and Automation Engineering from Tallinna Tehnikaülikool (Tallinn University of Technology). This advanced degree has equipped him with a robust understanding of mechanical and electronic systems, allowing him to excel in the rapidly growing field of automation engineering.
Alongside his master's degree, he also earned a Bachelor's degree in Computer Science from Tbilisi State University, providing him with a solid foundation in programming and computer systems. His educational background has been critical in shaping his analytical thinking, problem-solving abilities, and technical skills, which he leverages in his work as a data scientist.
Notable Skills and Strengths
Tornike's vast skill set positions him as an influential figure in data science and technology. He is proficient in:
- Databases: Tornike excels in managing and analyzing data through robust database systems, a core competency in the data science field.
- Programming Languages: With comprehensive skills in Python and C#, he demonstrates versatility in scripting and application development.
- Statistical Computing: His analytical capabilities allow him to interpret complex data sets, laying the groundwork for sound data-driven decisions.
Overall, Tornike Mzhavia is a driven and accomplished Data Scientist whose expertise in various industries, combined with an exceptional educational foundation, propels his current and future endeavors in the field of data science, automation, and technology. His journey reflects a commitment to continuous learning and adaptation in the ever-evolving tech landscape.