Sep 2018 – Jun 2019 · 9 mos · Los Angeles, California

Jan 2018 – Aug 2018 · 7 mos · Los Angeles, California

Jun 2018 – Aug 2018 · 2 mos · Greater Los Angeles Area

• Academic mentor for the Research in Industrial Projects for Students (RIPS) Program offered by the Institute of Pure & Applied Mathematics (IPAM) at UCLA.
• The program provides an opportunity for undergraduate students to work on a real-world research projects proposed by sponsors from industry.
• I supervised a team of students on a research project titled "Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events Using Predicted Positive Data" sponsored by Google LA.
• The study focused on the investigation of the tradeoff between predicted true positives and false positives for binary classifiers with multiple thresholds.

Oct 2016 – Jan 2018 · 1 yr 3 mos · London

• My role as a data scientist was to work closely with clients to understand and optimize their marketing campaigns and the overall performance of their e-commerce business.
• Worked with the largest retailers in the UK and undertook industry analysis to produce actionable insights for both clients and the business.
• Acted as product analyst for local App team, delivering sales forecast tools, product performance metrics, and client onboarding analysis.
• Designed, executed, and analyzed statistical experiments comparing Criteo products and technologies.
• Automated the reporting of weekly performance statistics to clients.
• Created a self-service tool that automates common analyses, reducing the analytic support required by the sales team.

Aug 2016 – Sep 2016 · 1 mo · London, United Kingdom

• S2DS is a five-week workshop which aims to train analytical Ph.Ds in tools and techniques applied to data science. During the program, I worked in a team of three on a project with Criteo. The deliverables included designing a scalable algorithmic monitoring and alerting system for the rapid identification of issues. In addition, we provided a real-time user interface enabling clear visualizations of the past and current behavior of Criteo's performance metrics.
• As part of the program, all teams presented their projects and results to an audience of S2DS fellows as well as company representatives interested in establishing or expanding their data science departments.
• Through the program, I was successful at enhancing my teamwork and communication skills. With my team, we were introduced to the agile environment. Through weekly sprints and daily scrum meetings, we were successful at delivering the data product before the end of the program.

Jul 2014 – Aug 2016 · 2 yrs 1 mo · London, United Kingdom

• I collaborated with students and academics to design the Mathematics course offered to undergraduates in the Department of Chemical Engineering at Imperial College London.
• I delivered a collection of lecture notes in the form of textbooks covering core concepts in mathematics aimed to equip the students with requisite knowledge needed for their degree.

Jun 2014 – Aug 2014 · 2 mos · Los Angeles, CA

• Supervised and offered guidance for report writing and presentations to a team of four students on an interdisciplinary research project sponsored by HRL Laboratories, a subsidiary of General Motors Corporation and Boeing.
• Gained project management and leaderships skills by coordinating meetings between the team and the sponsors, defining deliverables, and reviewing and approving the statement of work

Jul 2011 – Aug 2015 · 4 yrs 1 mo · Los Angeles, CA

• During my time as an assistant adjunct professor I:
• Carried out research in the field of computational and applied mathematics (CAM) and derived a mathematical model to describe particle flows in the presence of surface tension. I found agreement between numerical simulations and experimental results using a novel, highly nonlinear partial differential equations scheme
• Supervised student summer programs aimed to train undergraduate students in research roles in the area of fluid dynamics. Through such programs, the students are offered guidance on how to approach a research problem, collect and analyze results as well as deliver insightful presentations to an academic audience.
• Delivered lectures to over 200 students per quarter on applications of differential equations and dynamical systems. Over four years and 11 classes, I achieved an average evaluation score of 8.6/9.
• Designed and delivered a series of lectures on Mathematical Modeling to senior-level undergraduates.