Lucy Lifschitz Email & Phone Number

• Courses: Data analysis & visualization, Machine learning, Practical data science, Deep learning, Recommender systems
• Projects: FoodHub: analyzed orders from a food aggregator company showcasing skills in EDA, data visualization and statistics. Music Recommendation System: developed a recommendation systems to suggest top 10 songs.
• Hackathon: together with my team predicted passenger satisfaction with their travel on the Shinkansen Bullet Train based on travel and survey data with 95.71% accuracy, and ranked 4th (out of 59 teams).

• Designed and delivered classes in Cryptography, Number Theory, Group Theory, Probability, Analysis, Discrete Mathematics, Linear Algebra, Calculus and other subjects.
• Conducted mathematics research resulting in 9 publications and 13 conference and seminars presentations. Received Young Investigator grant from NSA.
• Mentored the undergraduate Math Club, coached Putnam competition team, supervised 4 undergraduate research projects, directed a PhD student.

• Implemented and evaluated a basic CNN, customized Resnet and DenseNet121 models to detect lung cancer in chest CT-scans with 98% accuracy
• Demonstrated data wrangling skills by merging datasets, cleaning, analyzing and augmenting the medical image data
• Contributed to the AI and NLP project to automate dubbing process by building a text translation module and using ChatGPT to shorten translated text to fit the timestamps

Orsay, Île-de-France, France

• Extended IMDB movie dataset through web scraping
• Utilized NLP tools and techniques to develop a content based movie recommender and integrated the recommender into a Taipy demo

Doctor Of Philosophy - Phd, Mathematics

Bachelor'S Degree, Mathematics