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    Tomasz Tkaczyk

    SWE & Data Science Intern at Axel Springer - ex-IBMer - 2021 Grad

    Professional Background

    Tomasz Tkaczyk is an accomplished Software and Data Engineer who exemplifies innovation and creativity. His professional journey encompasses extensive experience in software development, data engineering, and a deep passion for artificial intelligence (AI) that drives him toward excellence in every project he undertakes. Equipped with strong communication skills and a problem-solving mindset, Tomasz has thrived in dynamic environments where his adaptability and quick learning capabilities truly shine. Fluent in English, German, and Polish, he brings a multicultural approach to his work, making him a valuable asset in diverse teams.

    Tomasz has forged a significant career in technology, having held influential positions at renowned organizations including IBM, where he was immersed in cutting-edge research during his gap-year in sunny Silicon Valley. His diverse work history showcases his expertise in various roles, including Software & Data Engineering Intern at Axel Springer SE, AI/Data Science Working Student at Digitas Pixelpark, and a Data Science Researcher at IBM, among others. This range of experience has enabled him to harness the power of data and integrate his knowledge effectively into impactful solutions.

    Currently residing in Berlin, Tomasz is eager to embrace new challenges within the vibrant tech landscape of the city. His current focus amplifies his interests in data and machine learning, a passion that continues to propel his career forward and leads him to explore innovations within the ever-evolving domain of artificial intelligence.

    Education and Achievements

    Tomasz's academic foundation is solidified with a Bachelor's degree in Medieninformatik from the Technische Universität Berlin followed by a Master's degree in Computer Science & Media at the esteemed Freie Universität Berlin. His educational journey has equipped him with a well-rounded skill set, bridging the artistic and technical realms typical of computer science and media studies. This combination not only enhances his technical prowess but also empowers him to approach projects with creative insight and critical thinking.

    In addition to his formal education, Tomasz has accumulated a wealth of knowledge and experience in data engineering, machine learning, and cloud computing throughout his career. His proficiency with programming languages such as Python, JavaScript, and Java, combined with his adeptness in a variety of technologies, positions him as a versatile and innovative engineer in today's competitive landscape.

    Key Competencies

    Tomasz's repertoire of technical competencies includes advanced skills in data engineering and machine learning, reflecting his passion for data and its transformational power. He excels at the training and deployment of machine learning models, whether at scale or on the Edge, emphasizing his adaptability and forward-thinking mindset. His ability to build robust software allows him to mine, cleanse, wrangle, and integrate data seamlessly into databases, contributing to enhanced analytics and business intelligence efforts.

    Additionally, Tomasz's full-stack development capabilities enable him to build sophisticated web applications using technologies such as Flask, Node.js, React, and more. This skill set underscores not only his technical acumen but also his understanding of creating user-friendly and impactful digital solutions.

    Technologies and Tools

    Tomasz's technical expertise is enhanced by an impressive array of tools and technologies that he skillfully navigates. His experience spans a broad spectrum of frameworks and libraries, including Flask, Celery, and Apache Kafka, along with data visualization tools such as Tableau and Matplotlib. He is proficient in utilizing essential data science libraries like Pandas, NumPy, and Scikit-learn, and is adept at employing cloud platforms including AWS and IBM Cloud to develop and deploy scalable solutions.

    By leveraging tools like Apache Spark, Django, and Kubernetes, Tomasz effectively addresses complex data challenges while maintaining an optimal workflow. His expertise in various databases, including AWS Redshift, DynamoDB, and MongoDB, further strengthens his capability to manage and process extensive datasets seamlessly.

    Achievements

    Throughout his career, Tomasz Tkaczyk has demonstrated a commitment to excellence through various achievements. As a Data Science Researcher at IBM, he significantly contributed to research projects that harness the power of AI and data, showcasing his ability to tackle complex problems with innovative solutions. His internship at Axel Springer SE equipped him with hands-on experience in a dynamic media environment, blending technology and journalism.

    Tomasz’s work at Digitas Pixelpark as an AI/Data Science Working Student allowed him to apply theoretical knowledge in practical settings, yielding tangible results in data-related projects, further advancing his career in the tech industry. Additionally, his role as a Student Researcher at T-Labs highlights his dedication to pushing the boundaries of technology, particularly in the realm of telecommunications and innovation.

    With each endeavor, Tomasz has continuously sought to expand his skill set and contribute meaningfully to the organizations and teams he has been a part of. This proactive approach enhances not only his professional growth but also positively impacts the projects he participates in, aligning with his overarching passion for technology and innovation.

    In conclusion, Tomasz Tkaczyk is an outstanding Software and Data Engineer whose blend of creativity, technical expertise, and passion for artificial intelligence positions him as a leader in his field. As he seeks new opportunities in Berlin, he carries with him a rich tapestry of experiences and a commitment to excellence that is sure to make a lasting impact in the tech landscape.

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    Tomasz Tkaczyk
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    Location

    Berlin, Berlin, Germany