Elena Stein Scholtis

Elena is a highly skilled professional in Machine Learning and Data Science, currently holding a leadership role as a Lead Solutions Engineer at Taktile. Her expertise spans developing and implementing AI/ML solutions, as evidenced by her progression through Data Scientist and Machine Learning Engineer roles at Taktile and Klarna. She also contributes to the field by presenting on best practices for bringing ML projects into production. theorg+2

With a First-Class Honours in Materials Engineering from Imperial College London, Elena possesses a strong foundational understanding of physical sciences. Her early research focused on materials simulation, particularly investigating the electronic structure of components in lithium-ion batteries, demonstrating a rigorous scientific approach to complex problems. theorg+2

Elena has a keen interest in applying technology for social good, exemplified by her 'Deeplexia' project. This web app, developed during her Data Science Retreat, converts text into emojis to assist dyslexic children with reading and to improve speed reading, reflecting her innovative use of NLP for educational and accessibility purposes. youtube+2

Elena's professional journey also includes experience in financial markets, having completed a Markets Graduate Programme at Itaú BBA International. This included rotations in structured products sales, corporate sales, and treasury, providing her with a broad understanding of banking operations and a diverse skill set. linkedin