نبذة عني
Data & Risk Analytics professional and Statistician with 15+ years of experience transforming complex datasets into actionable insights, statistical models, KPIs, dashboards, and business recommendations across fintech, …
Data & Risk Analytics professional and Statistician with 15+ years of experience transforming complex datasets into actionable insights, statistical models, KPIs, dashboards, and business recommendations across fintech, payments, fraud, telecommunications, oil & gas, market intelligence, education, and international projects. Strong background in SQL, Python, R, SAS, Tableau, Looker, SPSS Modeler, ETL, data visualization, statistical analysis, data mining, machine learning, data quality, risk analytics, and fraud detection. Proven track record of automating analytical processes, identifying fraud and anomalies, improving data quality, and delivering multimillion-dollar measurable business impact.
الخبرة
Payments Risk Analyst
<p>Performed data-driven payments risk analysis to identify fraud patterns, high-risk customer segments, false positives, and opportunities to improve transaction controls.</p><p> Analyzed user, transaction, vendor, and risk-rule data to support decisions on transaction limits, customer segmentation, risk controls, and account restrictions.</p><p> Evaluated risk rules using data-quality metrics and false-positive rates to improve fraud detection while reducing unnecessary customer friction.</p><p> Investigated payment-risk and vendor-data discrepancies, identifying root causes and coordinating remediation with internal and external stakeholders.</p><p> Served as DRI for payments-risk vendors including Sardine, GIACT, Chargebacks911, Ekata, Emailage, Alterya, and Blockaid; managed vendor incidents and data-quality issues.</p><p> Built and maintained Looker dashboards to monitor vendor performance, risk data, data quality, and operational metrics.</p><p> Collaborated with Risk, Fraud, Engineering, Product, Operations, and external vendors to resolve analytical and data-quality issues.</p><p> Saved $1M+ by resolving vendor billing discrepancies; enabled the Chargebacks system to return to production, contributing to $3M in annual chargeback savings.</p><p> Identified and mitigated ACH fraud involving fraudulent documentation, generating $600K+ in savings; supported vendor renewals generating $2M+ in additional savings.</p>
CRM Coordinator (Lead)
<p>Automated customer segmentation, mailing extraction, lookalike analysis, relationship rules, and ad-hoc customer/profile analyses using R and IBM SPSS Modeler.</p><p> Designed and implemented ETL workflows to automate data extraction and mailing generation, improving data quality and reducing manual processing.</p><p> Translated business requirements into repeatable analytical workflows and automated reporting processes.</p>
Market Intelligence Coordinator (Lead)
<p>Automated databases supporting digital KPIs and management reporting using SQL and Tableau Server.</p><p> Redesigned Tableau dashboards using data visualization and visual analytics techniques to improve insight generation and decision support.</p><p> Performed exploratory data analysis to identify customer behavior patterns, trends, and conversion opportunities using SQL and SPSS Modeler.</p><p> Developed pricing and marketing analytics to optimize investment allocation and automated manual processes, saving approximately 5 hours per week.</p>
Senior Fraud & Risk Analytics Analyst
<p>Analyzed complex Travel & Expense, accounts, loyalty, operational, and transactional datasets to identify fraud patterns, anomalies, trends, and control weaknesses.</p><p> Developed and implemented fraud detection and risk analytics models supporting Internal Controls and Fraud Prevention programs.</p><p> Performed data mining, statistical analysis, exploratory analysis, and visualization to identify suspicious behaviors and emerging fraud risks.</p><p> Partnered with investigators, Audit, Internal Controls, and business stakeholders to investigate fraud cases and improve prevention methodologies.</p><p> Evaluated analytical tools and capabilities to strengthen fraud detection and prevention; documented methodologies, assumptions, data sources, and model outputs for auditability.</p><p> Led risk and analytics models within Internal Controls and delivered fraud analytics workshops for the Audit team.</p><p> Implemented a fraud detection model across Oil & Gas distribution bases that identified approximately R$200K in fraud and operational losses within five months.</p><p> Identified fraud within a customer loyalty program, generating approximately R$180K in annual savings.</p>
Business Project Analyst
<p>Delivered telecom and technology requirements for the Copacabana cluster and planned technology needs for the Volleyball Arena venue.</p><p> Managed spectrum delivery activities and coordinated project requirements with cross-functional stakeholders.</p>
Senior Quality Process Analyst
<p>Led a Six Sigma program that avoided more than €2M in penalties.</p><p> Improved regulatory processes and identified opportunities to reduce operational costs and unnecessary activities.</p>
Senior Statistician
<p>Automated daily statistical tasks, reducing delivery time from approximately one week to one day by replacing manual Excel workflows with automated code.</p><p> Led statistical sample design for surveys, improving confidence in results and methodological quality.</p><p> Prepared methodological materials for FGV surveys based on OECD parameters, supporting international recognition of the organization.</p>
Statistical Consultant
<p>Provided statistical consulting and analytical support for research and data-driven projects for a an Oil and gas company</p>
Statistical Intern
<p>Supported statistical research, data preparation, analysis, and reporting activities for market research</p>
المشاريع
Chargeback system
<p>I had to investigate a problem in the chargeback fighting logic where the initial data suggested one explanation, but the underlying patterns were more nuanced. I broke the problem into smaller hypotheses, validated the data sources, compared segments and time periods, and separated correlation from the factors that could actually explain the outcome. I then translated the findings into a clear recommendation and highlighted the assumptions and limitations. That approach helped stakeholders focus on the real driver instead of reacting to the first headline number.</p>