Summary
Overview
Work History
Education
Skills
LANGUAGES
Websites, Portfolios, Profiles
WORKSHOPS
Achievements
Timeline
Generic
TIAGO PILAN FERREIRA

TIAGO PILAN FERREIRA

São Paulo

Summary

Experienced Data Science & Analytics professional with over 10 years in delivering analytical solutions across financial services, telecom, retail, and consumer goods. Expertise in statistical modelling, machine learning, credit risk, and marketing analytics. Develop scalable solutions for complex client challenges using Python, SAS, SQL, and Databricks. Holds a Master’s degree in Statistics from University of São Paulo.

Overview

1
1
Language
18
18
years of professional experience

Work History

Data & Analytics Leader | Senior Data Scientist

SAS
São Paulo
11.2019 - Current
  • Development of statistical models using descriptive, predictive, and prescriptive analytics for credit risk and marketing.
  • Developed AI/ML models and implemented AutoML pipelines (MLFlow), streamlining model deployment processes.
  • Analysis of large datasets and synthesis of key insights using Python, SQL, and SAS.
  • Coached and managed analytics teams across multiple projects for major clients (Vivo, Santander, Sicredi, Itaú, Femsa-CocaCola), enhancing team capabilities and project delivery.
  • Consulted in analytics to support clients in identifying new business opportunities and defining project scope, leading to targeted project initiatives.

Data & Analytics Leader | Senior Data Scientist

Experian
São Paulo
05.2016 - 10.2019
  • Application of machine learning algorithms (Gradient Boosting, Neural Networks, Random Forest, SVM, Bayesian Networks).
  • Development of statistical models for credit risk and CRM for clients such as Vivo, Claro, Bradesco, Itaú, Magazine Luiza, Natura, Gafisa, and Nestlé.
  • Modelled credit card usage potential, driving insights for Santander's portfolio performance.
  • Conducted reporting and performance analysis on large databases, delivering actionable insights.
  • Segmented customers based on purchasing behaviour and demographics to identify target markets.
  • Presented analytical results to clients, effectively communicating findings through PowerPoint.
  • Experience with Google Analytics, Google Ads, and SEO.
  • Geomarketing analysis, including map development.

Analytics Coordinator

Market Data Solutions
São Paulo
06.2010 - 05.2016
  • Conducted customer segmentation through cluster analysis to identify actionable behavioural patterns, driving targeted marketing efforts.
  • Application of decision tree techniques to identify churners and reduce attrition.
  • Developed advanced statistical models for credit scoring, cross-selling, upselling, and churn/winback analysis to enhance customer acquisition strategies.
  • Survival analysis and lifetime value modeling to optimize customer profitability.
  • Designed and implemented NBO (Next Best Offer) frameworks to optimise customer engagement and increase conversion rates.
  • Time series forecasting for loyalty programs, including breakage prediction.
  • Network modeling to identify high-influence customers and optimize targeted actions.

Trainee

Bank Bradesco S/A
São Paulo
07.2008 - 05.2010
  • Developed and monitored credit score models to enhance risk assessment accuracy.
  • Conducted income estimation studies to optimise credit card limit assignments, improving customer credit access.
  • Shadowed daily activities of office staff to gain understanding of scope of work.
  • Maintained organised and updated file systems for easy staff use.
  • Contributed to project management tasks, tracking progress and coordinating with team members for timely completion.

Education

Master's Degree - Statistics

University of São Paulo (USP)

Bachelor of Science - Statistics

University of São Paulo (USP)

Skills

  • Machine learning
  • Predictive modeling
  • Statistical modeling
  • Credit analytics
  • Data analytics
  • Marketing analytics
  • Customer segmentation
  • Portfolio analysis
  • Python programming
  • Python for data science
  • SQL querying
  • ETL processes
  • Data pipelining
  • AutoML pipelines
  • Advanced analytics
  • Data visualisation software
  • Power BI
  • Risk Assessment
  • Sales forecasting
  • Report-writing
  • Client consulting
  • Strong communication
  • Time-management

LANGUAGES

English
Advanced
C1

Websites, Portfolios, Profiles

linkedin.com/in/tiago-pilan-ferreira-339a7722

WORKSHOPS

  • FOIC – Future of Information Conference (Experian): innovation, analytics, AI, machine learning
  • NCDM – CRM & Database Marketing (Orlando, FL)

Achievements

  • Developed a Next Best Offer project using machine learning and an offer optimization engine for Vivo, resulting in a 14% increase in conversion rates.
  • Built a churn prediction model for Santander that reduced credit card churn by 10%.

Timeline

Data & Analytics Leader | Senior Data Scientist

SAS
11.2019 - Current

Data & Analytics Leader | Senior Data Scientist

Experian
05.2016 - 10.2019

Analytics Coordinator

Market Data Solutions
06.2010 - 05.2016

Trainee

Bank Bradesco S/A
07.2008 - 05.2010

Master's Degree - Statistics

University of São Paulo (USP)

Bachelor of Science - Statistics

University of São Paulo (USP)
TIAGO PILAN FERREIRA