Olga Donin
About Olga Donin
Olga Donin is a Senior Data Scientist currently working at Cherre in New York, where she has been employed since 2018. She has a background in Operations Research from the Technion - Israel Institute of Technology and has extensive experience in Big Data and text analysis.
Work at Cherre
Olga Donin has been employed at Cherre as a Senior Data Scientist since 2018. In this role, she applies her expertise in Big Data and text analysis to enhance data-driven decision-making processes. Her responsibilities include developing data models and algorithms that support the company's objectives in the real estate sector. With a focus on software implementation, she contributes to the effectiveness of various data science projects at Cherre, leveraging her skills to drive innovation and efficiency.
Previous Experience at University of Haifa
Prior to her current role, Olga Donin worked as a Senior Data Scientist at the University of Haifa from 2014 to 2018. During her four years there, she engaged in research and development projects that utilized advanced data science techniques. Her experience at the university provided her with a solid foundation in data analysis and research methodologies, which she has carried into her subsequent roles.
Consulting Experience at CandorMap
Olga Donin served as a Consultant at CandorMap from 2013 to 2016. In this position, she worked in the Haifa Area, Israel, where she provided data-driven insights and solutions to clients. Her consulting experience allowed her to develop practical skills in data analysis and client engagement, further enhancing her professional capabilities in the field of data science.
Education and Expertise
Olga Donin holds a Master of Science (MSc) degree in Operations Research from the Technion - Israel Institute of Technology. This educational background has equipped her with a strong analytical framework and quantitative skills. Her expertise in Big Data and text analysis is complemented by her strong software implementation skills, which are essential for executing complex data science projects effectively.