- Formalized marketing concepts into meaningful measurable metrics and defined the framework for quantitative analyses inside the company; store segmentation, client segmentation, transaction segmentation, and market basket analysis.- Leveraged our framework to simplify and analyze transaction data generated daily in the order of millions. Became the go-to person for quantitative analysis, as explicitly stated by several stakeholders.- Mathematically modeled consumer behavior to evaluate marketing strategies, then empirically estimated models and simulated outcomes to make recommendations.- Communicated findings to directives with a storytelling fit to their particular interests and expertise. Gathered and incorporated feedback into the final product to best fit the client’s needs.- Led a Junior Data Scientist through research projects and analyses to create actionable insights whilst keeping statistical rigor. Provided them with feedback to improve their performance. Mentored them on data storytelling and effective communication of results.- Collaborated in a cross-functional team to develop analyses to improve customer traffic to stores during a critical scenario. Put my peers up to speed by sharing results from my previous research.Leader of Consumer Insights (Crtical Experience, March 2024 - August 2024)- Led multiple consumer research projects. Turned loosely defined business questions into consumer research projects. Defined their objective, scope, target, etc., and briefed marketing agencies to review their research proposals.- Reviewed qualitative and quantitative research methodologies, and requested adjustments (such as sample size, sample composition, target audience, etc.) to optimize budget use and fit the business needs.- Managed relationships with research agencies and service providers. A healthy interaction that translated into preferential treatment from the agencies and service providers.

-Quality analysis of the incoming client data for its integration to the analytics platforms.-Configuration of the business logic to transform the client data into a consumable format for the platforms, as required by the different instrument types.-Reconciliation of the client data with the platform results.-Use of SQL queries (embedded in yaml files) and Groovy programming language to define the mapping rules for the translation process.-Use of agile methodology, JIRA, Azure DevOps and Git for configuration development and version control.

- Optimized multi-period attribution. Reduced calculation time from approximately 20 minutes to less than 10 seconds, added a set of sanity checks for faster debugging, and reduced the amount and size of intermediate files needed, saving storage space.- Automated report presentation involving data visualization and automated comments for directives and the regulatory agency.- Developed an algorithm to improve efficiency in interest rate curves Monte Carlo simulations.- Performed data cleaning, code maintenance, and methodology documentation.- Developed variants of the Brinson Model for performance attribution by asset class to improve insights for investment decisions and comply with new regulations.- Interpreted results from different metrics and models to provide insights regarding portfolio risk and returns, supported by extra ad hoc analysis.- Conducted qualitative and quantitative analysis of the economic outlook.

Business pricing and intangible valuation consultant.- Prepared presentations and wrote reports for clients.- Collaborated in building financial valuation models in Excel (income, market, and cost approaches).- Conducted financial analysis, including horizontal and vertical analysis, financial ratios, and sales projections.