Berlin, Germany Local Chapter

Aleksandra

Alexandra is a seasoned data scientist with experience in implementing different types of ML algorithms in real-life products. Alexandra has a Master's degree in Statistics from TU Berlin. After more than 5 years of building credit risk-related models, she is currently working on the development of outfit recommender systems. A year ago she has also started a company specializing in the development of automated interior design recommendations. She has participated in and organized several social events aimed to educate people about environmental problems. In December 2015 Alexandra and her team members were presenting their local initiatives at the Paris-based climate conference COP-21 for universities.

Evelyn

Joao

Mechanical engineer and economist that developed a passion for data science. Ready for any data challenge.

Laura Borel

Laura is a highly motivated and focused individual with extensive experience in training and on building and fostering inclusive communities. Possesses a masters degree on Adult Education and Local Development and Bachelors on Engineering and another one on Tourism; as well as a certificate on Data Science. Her experiences as Program Manager has allowed her to develop strong communication, organisational and time management skills, as well as the ability to motivate and support others. She is a creative problem-solver with a multicultural background, bringing a unique perspective to any situation. Committed to empowering individuals to reach their full potential and make a positive impact on their communities.

Noelia

Vishu Kalier

He is a student pursuing Integrated Masters in Artificial Intelligence and Machine Learning from VIT Bhopal University. He has learned many Machine Learning and Deep Learning technologies. His notable domains are Data Science with specialization and active participation and exponential learning rate in Quantum Mechanics, Natural Language Processing and Computer Vision. He has been contributing in many Open source projects and have learned the art and style of leading a community and team as a whole.

Ziba

Ziba is a qualified and experienced data scientist with an MBA, specializing in data science and analysis. Collaborating effectively with diverse colleagues, she delivers data-driven solutions and actionable insights by leveraging her expertise in statistics, programming, and data visualization. As an Acting Lead Data Scientist at VotingSmarter, she automates data collection processes, optimizes workflows, and designs machine learning pipelines to extract key insights. With a background in Psychology and Sport Psychology, she also brings valuable skills in teaching mental skills and building connections with individuals and communities. Ziba's tenacity, strong communication skills, and team-building abilities, combined with her passion for learning and helping others, make her a valuable asset in leadership roles. Embodying the agility and curiosity of a "data cat," she empowers individuals and communities through data-driven decision-making, making a positive impact in her field.