Music Recommender Systems

■ Collaborated with FRCC PCM and KDL to innovate in the detection of antibiotic resistance in bacteria. Utilized Surface Enhanced Raman Spectroscopy (SERS) data and machine learning to develop a predictive model, achieving a remarkable accuracy of 96%.■ Partnered with IBCP RAS and Invitro to enhance cardiac risk diagnostic methods. My contributions included: ● Analyzing SERS data and implementing machine learning models to achieve 93% specificity in detection. ● Providing crucial insights that helped push forward the frontiers of research-based diagnostics.■ Led initiatives in experimental design and data analysis to further the development of spectral analysis of biological probes. My work involved: ● Directing the design of experiments and the evaluation of data to ensure both accuracy and reliability, thereby setting new standards in research. ● Making significant contributions to the scientific community by publishing in top-tier journals and participating in the peer review process.