Irina Kukuyeva, Ph.D.
Data Science advisor and consultant helping companies make better data-driven decisions. Mentor to adults that are starting out in tech.
Recent and Upcoming Engagements
- Speaker (Q3 2019): Filling-in your Data Strategy Gaps: 10 Reasons Why your Data Initiative will Fail and How to Get it Right the First Time
- Speaker (July 20, 2019): Writing your First Testing Suite with pytest for your Machine Learning model
- UCLA Lecturer (Jan 2019 - Mar 2019, Wednesdays 6-9PM): Stats 404 - Statistical Computing and Programming
- Speaker (Nov 2018): Writing your First Testing Suite with pytest at PyLadies Los Angeles
- Mentor (Nov 2018+): UCLA Alumni Association Mentor Program
- Panelist (Oct 2018): UCLA Empowered Women, Empower Women: Tech & Engineering Meetup
- Speaker (Feb and Apr 2018): Lessons Learned from Productionalizing Machine Learning Models at SoCal Python and SoCal PyData
Education: University of California, Los Angeles
- Ph.D. in Statistics
- Invented a novel image compression algorithm called Tensor Independent Component Analysis (TICA) that reduces the volume and noise in 3D+ data sets.
- TICA uncovered similarities in temperature gradients between White Oval (captured by the Hubble Space Telescope) and the Great Red Spot on Jupiter; findings confirmed by Juno mission in 2018.
- TICA can be leveraged in Natural Language Processing (NLP) to better understand word co-occurrence.
- Invented a novel image compression algorithm called Tensor Independent Component Analysis (TICA) that reduces the volume and noise in 3D+ data sets.
- M.S. in Statistics
- B.A. and S. in Statistics and Economics, Minor in Mathematics
