Senior Data Scientist Lead
CurrentMarTech with deep learning research, attribution, and casual inference analysis, Einstein AI
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@onemainfinancial.com
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Kylie Li is listed as Machine Learning Engineer & Data Science Leader | Proven Success in Fintech Innovations and Strategic Data Solutions| Transforming Data into Strategic Business Value at Salesforce, a with 1 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at onemainfinancial.com and a matched LinkedIn profile for Kylie Li.
Kylie Li previously worked as Senior Data Scientist Lead at Salesforce and Sr Manager, Data Science at Jg Wentworth. Kylie Li holds Master'S Degree, Information Science from University Of Pittsburgh.
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With a solid background in data science and analytics, I've spent the last 7+ years leveraging large language models, data mining, and machine learning to drive significant impact in financial services. At JG Wentworth, I was dedicated to creating data-driven solutions that align with our company's mission to empower financial freedom, bringing a diverse perspective to our team and enhancing our data science capabilities.My tenure at JG Wentworth culminated in the development and launch of a personal loan product that is projected to generate substantial annual revenue. I led the charge in creating dynamic pricing models and a machine learning-based credit risk assessment, which increased loan approval accuracy by 20%. This role built upon my experience at T-Mobile, where I directed a team to pioneer machine learning initiatives, demonstrating my commitment to innovation and excellence in data-driven strategy.
Listed skills include Data Analysis, Data Mining, Sql, Analysis, and 28 others.
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San Francisco, California, Us
MarTech with deep learning research, attribution, and casual inference analysis, Einstein AI
Chesterbrook, Pa, Us
Led the development and launch of a transformative personal loan product, projected to generate $120 million annually. Championed the creation of a dynamic pricing model and a machine learning-based credit risk assessment, enhancing loan approval accuracy by 20%. Excelled in cross-functional collaboration, aligning project goals across marketing, sales, and risk management. Successfully advocated for project resources through persuasive presentations to executive leadership.
Bellevue, Wa, Us
Directed a team of 7 in pioneering machine learning initiatives across credit, marketing, collections, and fraud domains. Innovated causal inference marketing models using deep learning and ensemble methods to address complex challenges. Established and enforced stringent A/B testing protocols to validate model efficacy, ensuring optimal data-driven strategies and ongoing enhancements.
Baltimore , Md, Us
Engineered and executed advanced machine learning models to transform the underwriting process, achieving a 35% increase in new accounts and reducing losses by 25%. Spearheaded the development of compliant adverse action strategies and deployed explainable AI models. Analyzed over 20 alternative credit data sources to refine model accuracy and underwriting strategies, significantly enhancing data-driven operational decisions.
Detroit, Mi, Us
• Applying regression analysis with time errors (ARIMA) to predict the weekly conversion rate in Quicken Loans’ landing page, the final prediction accuracy is 87%.• Applying web analytics knowledge to use Omniture and Tealeaf to summary KPI (Key Performance Indicators) and business reports to affiliate departments, launch A\B testing experimental design on the landing page and conduct t-test. • Using CART Decision Tree to improve the model performance in predicting the mortgage closing probability from incoming calls to closing.#business intelligence # data anlytics #time series models #regression analysis # ARIMA #mortgage
Shen Zhen, Cn
• Promoted to Product Manager within one year, helping Japan International Nikkei Group to localize the financial portfolio analysis product, and bridging the Japanese client side and back-end office to facilitate the business and technical development process. • Made strategic analysis on competitor’s financial data terminal products and interview with 15 plus hedge funds and mutual funds to collect the user needs. Built basic demos for presentation to Japanese clients with Azure and java.
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Fiona Wong
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Jacob Harris
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Vijaykumar M Nyamati
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Atte Alanen
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Mary Valenzuela
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Quick answers generated from the profile data available on this page.
Kylie Li works for Salesforce.
Kylie Li is listed as Machine Learning Engineer & Data Science Leader | Proven Success in Fintech Innovations and Strategic Data Solutions| Transforming Data into Strategic Business Value at Salesforce.
AeroLeads has found 1 work email signal at @onemainfinancial.com for Kylie Li at Salesforce.
Kylie Li is based in San Francisco, California, United States while working with Salesforce.
Kylie Li has worked for Salesforce, Jg Wentworth, T-Mobile, Onemain Financial, and Quicken Loans.
Kylie Li's colleagues at Salesforce include Fiona Wong, Jacob Harris, Vijaykumar M Nyamati, Atte Alanen, and Mary Valenzuela.
You can use AeroLeads to view verified contact signals for Kylie Li at Salesforce, including work email, phone, and LinkedIn data when available.
Kylie Li holds Master'S Degree, Information Science from University Of Pittsburgh.
Kylie Li is listed with skills including Data Analysis, Data Mining, Sql, Analysis, Business Analysis, R, Analytics, and Python.
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