TOYOSI BAMIDELE
Atlanta,GA
Overview
12
12
years of professional experience
Work History
Data Scientist
VISA
01.2022 - Current
- Led development of large-scale behavioral datamarts for Visa’s Digital Ways to Pay and Places to Pay initiatives across e-commerce, wallets, BNPL, subscriptions, and travel, processing billions of transaction-level records quarterly using SQL (Presto/Trino), Spark, and Airflow, and reducing ad-hoc analysis turnaround time by ~30–40% by standardizing metrics used for credit strategy and revenue planning.
- Designed and deployed predictive and causal models (retention, uplift, prospect value scoring, fraud risk) using Python and Spark, to identify persuadable customer segments and quantify incremental lift, enabling more targeted issuer and fintech campaigns that reduced wasted marketing exposure by ~15–25% and improved campaign ROI.
- Owned analytics initiatives end-to-end, from business problem framing and hypothesis development through experimentation, validation, and production handoff, partnering with 5+ cross-functional teams (product, risk, strategy, consulting) and shortening insight-to-decision timelines by ~20% by driving adoption of model outputs into recurring business processes.
- Built scalable Spark pipelines and standardized KPI frameworks for Visa’s annual issuer benchmarking, processing hundreds of millions of records per refresh, eliminating inconsistent metric definitions across teams, and reducing manual reconciliation and reporting effort by ~25–30% during quarterly and annual reporting cycles.
- Led development of an Authorized User Detection system leveraging credit bureau data and VisaNet payment data, improving customer segmentation accuracy by ~10–15% and strengthening issuer risk stratification and credit decisioning, with downstream impact on multiple predictive models and analytics products.
- Built internal analytics and GenAI-powered tooling using Streamlit, Python, Git, and Copilot Studio to automate data science workflows and standardize reusable modeling practices, reducing manual analysis effort by ~20–30% and accelerating experimentation cycles, improving delivery velocity and consistency across project teams.
Data Scientist
Truist Financial
01.2021 - 01.2022
- Built and maintained large-scale analytics pipelines processing 28+ debit card transactions quarterly using SQL, Python, and distributed data systems, transforming raw transaction data into decision-ready datasets that enabled portfolio-level analysis and improved speed of strategic insights for consumer banking leadership.
- Developed behavioral analytics and segmentation frameworks across 335M+ customer-level records per quarter, analyzing shifts across card-present, card-not-present, and digital wallet usage to inform product strategy and digital adoption initiatives, supporting data-driven prioritization of growth investments.
- Designed and deployed a Python-based lookalike model to identify high-value “super wallet” prospects for a new EMV wallet launch, improving targeting precision and increasing conversion efficiency while reducing unnecessary outreach and acquisition cost for marketing campaigns.
- Built real-time executive dashboards in Tableau to track customer behavior and key performance indicators, reducing manual reporting effort by ~30–40% and enabling leaders to monitor digital health metrics on-demand rather than through static monthly reports.
- Developed a Legal Spend Forecasting application using Python, ARIMA time-series modeling, and Streamlit, enabling the Legal Operations team to improve budget forecasting accuracy and scenario planning, supporting more proactive cost control and resource allocation.
- Partnered cross-functionally with Fraud, Retail Banking, and Marketing teams to automate recurring analytics workflows and standardize reporting outputs, shortening analysis turnaround times by ~20% and increasing adoption of analytics insights in ongoing business decision-making.
Operations Analyst
Oando Energy Resources
01.2017 - 01.2019
- Optimized well trajectory planning using real-time sensor and operational data, applying data-driven analysis to reduce drilling risk and decrease non-productive time (NPT), improving operational efficiency and reliability for active field operations.
- Built real-time operational dashboards to surface key performance indicators and anomaly signals for daily drilling and production activities, improving decision-making speed for field engineers and operations leadership and enabling faster response to emerging issues.
- Analyzed equipment downtime and vendor performance reports to identify inefficiencies and root causes, reducing contractor-related costs by ~10% annually through improved vendor accountability, performance tracking, and data-informed contract decisions.
Business Analyst
Stelog Energy Group
01.2015 - 01.2017
- Led data-driven initiatives to monetize flared gas, combining market analysis, operational feasibility assessment, and stakeholder alignment to secure a commercial sales agreement with major oil and gas companies, unlocking a new revenue stream from previously wasted resources.
- Conducted market and economic research to evaluate gas flaring monetization opportunities, synthesizing regulatory, demand, pricing, and infrastructure data into decision-ready recommendations that were presented to senior stakeholders and used to guide investment and partnership decisions.
Associate Technical Professional - Completion Tools
Halliburton
01.2014 - 01.2015
- Supported design and execution of completion tool operations (including FRAC sleeve systems and drill-able plug deployments), contributing to safe and efficient hydraulic fracturing operations across multiple gas assets by ensuring tools met operational and customer specifications.
- Conducted pre- and post-job operational reviews, analyzing performance data and field feedback to identify process improvements, reduce operational risk, and improve execution reliability for subsequent completion jobs.
Education
Master of Engineering -
Texas Tech University, Whitacre College of Engineering
Lubbock, Texas08.2021
Master of Science - Data Science
Texas Tech University, Rawls College of Business
Lubbock, Texas05.2021
Bachelor of Science - Petroleum and Natural Gas Engineering
Pennsylvania State University, College of Earth and Mineral Science
State College, Pennsylvania05.2014
Skills
- Programming: Python, SQL (Hadoop/Presto/Trino), Airflow, Git, Linux
- Machine Learning: Uplift Modeling, Customer Segmentation, Sentiment Analysis, Predictive Analytics
- Data Visualization: Tableau, Matplotlib, Streamlit, Altair
- Model Deployment: MLFlow, AWS
- Big Data Processing: Spark, Hadoop
Websites
Timeline
Data Scientist
VISA
01.2022 - Current
Data Scientist
Truist Financial
01.2021 - 01.2022
Operations Analyst
Oando Energy Resources
01.2017 - 01.2019
Business Analyst
Stelog Energy Group
01.2015 - 01.2017
Associate Technical Professional - Completion Tools
Halliburton
01.2014 - 01.2015
Master of Science - Data Science
Texas Tech University, Rawls College of Business
Bachelor of Science - Petroleum and Natural Gas Engineering
Pennsylvania State University, College of Earth and Mineral Science
Master of Engineering -
Texas Tech University, Whitacre College of Engineering