I am currently seeking new opportunities. Contact me via LinkedIn.

Founded, deployed, and owned a data science product (classification model), identifying features and providing actionable insights to power strategic reviews and shifts.• Designed and launched text-rule-based prediction engine for business classification system codes (including NAICS, ISO GL and Workers’ Compensation) to pre-fill small business profiles for agents and underwriters.• Modernized the generation of text rules using natural language processing techniques, greatly… Show more Founded, deployed, and owned a data science product (classification model), identifying features and providing actionable insights to power strategic reviews and shifts.• Designed and launched text-rule-based prediction engine for business classification system codes (including NAICS, ISO GL and Workers’ Compensation) to pre-fill small business profiles for agents and underwriters.• Modernized the generation of text rules using natural language processing techniques, greatly reducing manual effort.• Built a dashboard to track the effectiveness of text rules by creating fully automatic real-time reports; and modified or removed all rules that did not perform within expectation.• Led the developer team and facilitated daily group sessions to review progress, document procedures and methodology, and provide training to onboard new team members. Show less

Oversaw the development and ongoing optimization of advanced credit risk models.• Developed and fine-tuned credit risk strategy to maximize revenue within risk tolerance levels, supporting retail, online and lead generation lending channels.• Constructed regression-based and decision-tree-based scoring models to quantitatively profile individual consumers. Forecasted campaign results on risk and response dimensions.• Generated and automated the structure and contents of… Show more Oversaw the development and ongoing optimization of advanced credit risk models.• Developed and fine-tuned credit risk strategy to maximize revenue within risk tolerance levels, supporting retail, online and lead generation lending channels.• Constructed regression-based and decision-tree-based scoring models to quantitatively profile individual consumers. Forecasted campaign results on risk and response dimensions.• Generated and automated the structure and contents of recurring campaign performance reports. Show less

Gathered, interpreted, and analyzed complex datasets to meet regulatory requirements and support decisionmaking.• Navigated internal and external databases to provide systematic data solutions such as balance comparison and inconsistency reconciliation, organization and streamlining of cross-team data efforts, and integrity assurance for analytics enablement.• Provisioned quality monthly datasets to prepare for the annual Comprehensive Capital Analysis and Review (CCAR)… Show more Gathered, interpreted, and analyzed complex datasets to meet regulatory requirements and support decisionmaking.• Navigated internal and external databases to provide systematic data solutions such as balance comparison and inconsistency reconciliation, organization and streamlining of cross-team data efforts, and integrity assurance for analytics enablement.• Provisioned quality monthly datasets to prepare for the annual Comprehensive Capital Analysis and Review (CCAR) stress testing conducted by the Federal Reserve.• Monitored weekly internal fraud risks through text analytics and documented the comprehensive fraud detection procedure with structural flowcharts. Show less

Implemented statistics-based marketing strategies to drive campaign results.• Executed data-driven target selection strategy covering direct mail, email, and online marketing campaigns for clients from mortgage, auto, B2B, installment and payday lending industries.• Drew insight from performance reports and predictive analyses to refine risk and response metrics of monthly campaigns, prompting customer growth that surpasses client expectations regularly.• Conducted training… Show more Implemented statistics-based marketing strategies to drive campaign results.• Executed data-driven target selection strategy covering direct mail, email, and online marketing campaigns for clients from mortgage, auto, B2B, installment and payday lending industries.• Drew insight from performance reports and predictive analyses to refine risk and response metrics of monthly campaigns, prompting customer growth that surpasses client expectations regularly.• Conducted training sessions for new team members, covering essential procedures, tools, and best practices to expedite their onboarding. Show less