Disa Alda Naomi Email and Phone Number
Disa Alda Naomi work email
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Disa Alda Naomi personal email
Disa Alda Naomi is a ML @ PayPal | M.S. Data Science @ Stanford University at PayPal. She possess expertise in microsoft office, c++, java, data analysis, microsoft excel and 20 more skills. She is proficient in Mandarin.
Paypal
View- Website:
- paypal.com
- Employees:
- 30222
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Machine Learning EngineerPaypal Apr 2023 - Present
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Graduate Teaching AssistantStanford University Jan 2023 - Mar 2023Palo Alto, California, United StatesTeaching assistant/course developer for Stanford Data Science, teaching the pilot course DATASCI 197 - Women in Data Science Hackathon. -
Research AssistantStanford University Sep 2022 - Mar 2023RA at cogT lab, working with Prof. Ehsan Adeli and Prof. Feng Vankee Lin on CNN-based deep learning models and GCNs (Graph Convolutional Networks) to predict treatment outcomes from cognitive observational studies.
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Machine Learning Scientist InternPaypal Jun 2022 - Sep 2022Implemented LSTM-based deep learning model for time-to-event prediction using PyTorch, improving precision and recall of the previous model in deployment each by ~30%. Improvements led to cost and latency savings of prefetch initiatives of some of PayPal’s top merchants.
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Data Scientist | Stanford Analytics AcceleratorBill & Melinda Gates Foundation Jan 2022 - Jun 2022Palo Alto, California, United StatesIntegrated new parameters (Rural-Urban indicator and Family Size Preference) into agent-based model in Python, improving family planning simulation in estimating yearly Demographic and Health Surveys metrics. Model improvements were utilized to simulate family planning scenarios and to track changes in metrics. -
Senior AnalystAnalysis Group Dec 2020 - Jun 2021Los Angeles Metropolitan Area• Implemented data analysis pipelines (cleaning, wrangling, visualization, modelling, interpretation) in consulting and data science projects using technologies in R, Python, Stata, Excel (VBA) and SAS:o Led a team of analysts to develop web-scraping pipeline in building internal database from public data sources using Python’s BeautifulSoup and Selenium. Reduced processing time by 75% by implementing parallel processing. o Conducted regression analyses (e.g. multivariable regressions, hedonic regressions, multinomial logit) in economics settings. o Produced dynamic visualization of healthcare data using R’s ggplot and Excel’s VBA. o Designed, programmed, and analyzed market and economic surveys. Performed conjoint analyses and hypothesis testing. o Performed benchmarking analyses of mutual funds to estimate damages from including under-performing funds in investment portfolios. • Led and managed teams of up to 60+ analysts in data collection and analysis efforts in the above consulting projects.• Created and led the training for data analysis and scraping in Python.• Presented analytical and strategic research findings within cross-functional consulting and data science teams, including senior executives and economic experts. -
AnalystAnalysis Group Aug 2019 - Dec 2020Los Angeles Metropolitan Area
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Data Science InternCity Of Los Angeles Apr 2019 - Jun 2019Greater Los Angeles Area• Conducted an exploratory data analysis of rents and socioeconomic factors of Los Angeles residents using census data, presenting relationship between rent and income using ArcGIS. • Reported key metrics on the use of GeoHub, City of LA’s spatial mapping portal, reducing storage of underutilized datasets and identifying the top 10 most popular topics by use and storage size to expand upon in future work. Produced visualizations of metrics using Python. -
Junior Research ConsultantUn Global Pulse Sep 2018 - Mar 2019Greater Los Angeles Area• Performed data cleaning and reshaping of microfinance datasets from financial institutions in Cambodia using R. • Utilized Principal Components Analysis (PCA) to select significant features that differentiate customer segments, reducing the model’s number of features and improving training time.• Implemented K-Means and Hierarchical Clustering analyses for customer segmentation of Cambodia's microfinance customers using R. Identified growth opportunities in customer groups and collaborated with the social sciences team to strategize growth workshops. -
Data Science InternUn Global Pulse Jun 2018 - Aug 2018Greater Jakarta Area, Indonesia
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Data And Research InternBeacon Economics Llc Oct 2018 - Dec 2018Los Angeles, California• Constructed a database of California-wide job postings by web scraping with Python to enrich the existing company database.• Automated building PowerPoints for Economic Outlook presentations by integrating Excel databases using Python. Eliminated hours of manual updating of figures and charts by researchers. -
Data Science InternDattabot Aug 2018 - Sep 2018• Implemented Support Vector Machine model and Histogram of Oriented Gradients (HOG) based algorithm to create custom object detectors for human face and Indonesian National Identity Card using Python’s dlib and openCV libraries. Model is to be applied to automatically reject or accept photos uploaded by the users to their profiles, effectively reducing manual screening. -
Research AssistantMaster Of Applied Economics At Ucla Feb 2018 - Jun 2018Greater Los Angeles Area• Assisted PHD student Fernanda Rojas Ampuero and Professor Michela Giorcelli on Business Schools studies
Disa Alda Naomi Skills
Disa Alda Naomi Education Details
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Statistics (Data Science)
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Mathematics Economics, Specialization In Computing -
Finance, General -
Global Jaya International SchoolHigh School -
Economics
Frequently Asked Questions about Disa Alda Naomi
What company does Disa Alda Naomi work for?
Disa Alda Naomi works for Paypal
What is Disa Alda Naomi's role at the current company?
Disa Alda Naomi's current role is ML @ PayPal | M.S. Data Science @ Stanford University.
What is Disa Alda Naomi's email address?
Disa Alda Naomi's email address is di****@****cla.edu
What schools did Disa Alda Naomi attend?
Disa Alda Naomi attended Stanford University, University Of California, Los Angeles, The London School Of Economics And Political Science (Lse), Global Jaya International School, University Of California, Berkeley.
What skills is Disa Alda Naomi known for?
Disa Alda Naomi has skills like Microsoft Office, C++, Java, Data Analysis, Microsoft Excel, R, Econometrics, Research, Public Speaking, Web Development, Problem Solving, Time Series Analysis.
Who are Disa Alda Naomi's colleagues?
Disa Alda Naomi's colleagues are Luis Martinez, Tracy Chan, Kendal Johnson, Sagar Ladhwani, Rani Sri, Szymon Metych, Mags O'doherty.
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