Sr Manager Data Scientist
Resume:
Data Scientist Manager with over * years specializing in Data Mining and Statistical Analysis, Data Visualization and Presentation, Data Analytics, Business Intelligence and Data Modeling. Capable of leading teams with strategic, robust direction to execute innovative solutions utilizing advanced analytics to fulfill business initiatives. Skilled in delivering thorough effective communication both in English and Spanish.
AREAS OF EXPERTISE
Analytical Skills
Business Acumen
Business Intelligence
Critical Thinking
Data Analytics
Data Governance
Data Mining
Data Modeling
Data Visualization and Presentation
Leadership
Machine Learning
Predictive Analytics
Problem Solving
Reporting
Risk Analysis
Statistical Analysis
Statistics and Probability
EDUCATION
National Autonomous University of Mexico Mexico City, Mexico
Bachelor of Science in Actuarial Science
PROFESSIONAL DEVELOPMENT
Society of Actuaries Probability (P), Financial Mathematics (FM), Model for Financial Economics (MFE)
PROFESSIONAL EXPERIENCE
BBVA USA Houston, TX Oct 2015 – Present
Data Scientist Senior Manager, Oct 2018 – Present
Manager Data Scientist, Dec 2016 – Sep 2018
Senior Data Scientist, Oct 2015 – Nov 2016
Lead 6 Retail Risk Analytics team members to implement innovative solutions with the use of advanced analytics leveraging machine learning and statistical models to achieve business objectives, for example, logistic regression, random forest, boosting trees, etc.
Manage the fulfillment of analytical tasks, including assessing business problems, analytical methodology, validation, documentation, presentation of findings and recommendations
Analyze complex and large volumes of internal and external data using data science tools to deliver unique insights across an array of products, platforms, customers, merchants and experiences
Oversee and enhance the process of data collection, ingestion, manipulation and display for risk-related reporting processes
Determine key business drivers in multifaceted situations encompassing multivariate statistical analyses
Communicate and present the outcomes of research from machine learning approaches and statistical analysis with key stakeholders, business partners and internal clients
Collaborate with business partners and stakeholder to develop and execute appropriate data models and technical analysis to support decisions
Leverage data-driven culture through technological presentations and communications for key internal and external partners
Partner with cross-functional teams to resolve complex, critical business issues with small- and large-scale advanced analysis
Develop data-driven solutions to support different stakeholders ranging from IT, 3rd party support and additional analysts
Key Accomplishments
oPositioned analytics team as an integral element in the risk management process to assist stakeholders with implementing effective business decisions
oImproved reliability of analytical results by capturing thorough details of business needs and delivering ad-hoc analysis, leading to improvement of key performance indicators
oBoosted utilization of new analytic methodologies for data modeling by introducing the use of gradient boosting trees and random forest
oEstablished credit risk strategy for small business loan origination by enhancing customer selection through a swap-out set with a very high delinquency rate, resulting in an increase of 7% approval rate
oContributed to the performance of the custom unsecured installment loan origination score of 15% higher than industry standard, leading to enhanced customer selection and decreased potential risk for the company
oImplemented current data model that significantly has a greater predictive power compared to previous data model, resulting in recovery levels with fewer calls and reduction of customer attrition
oConducted a thorough forecast of the losses of unsecured installment loan portfolio to reflect a 5% margin even several months after forecasting
BBVA Mexico Mexico City, Mexico Aug 2011 – Oct 2015
Data Scientist
Performed estimation of credit risk parameters and certification process for the portfolios of Business and Corporates, Credit Cards and Mortgages
Led the development of credit score for origination to support mortgage portfolio utilizing logistic regression
Identified, extracted, cleaned, transformed and validated data model using SQL and SAS
Researched new data sources to construct analytical tools, supporting new application development and data quality improvement efforts
Optimized the allocation of restructures and resources for multiple portfolios
Developed and sustained library of reusable algorithms and supporting codes that reflect research efforts are based on highest quality data
Key Accomplishments
oDeveloped set of rules by analyzing historical allocation of restructures for consumer loans, resulting in an increase of 9.5% in customer restructure approvals due to suitable time of offering and reducing losses
oSpearheaded the optimization of resource allocation in collections, saving company approximately 5% on calls with an increase of 15% in recovery rate
SOFTWARE COMPETENCIES
Microsoft Office Suite (Word, PowerPoint, Outlook, Excel)
Programming Languages: SAS, Python, Hadoop, Spark, R, SQL, VBA, Tableau, C
Houston, TX
adisvf@r.postjobfree.com
www.linkedin.com/in/claudia-espinoza-8904/
CLAUDIA ESPINOZA
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