Marta Wheeler

Data Scientist with 18+ years of experience across financial services, big tech, and marketing analytics, building production-grade time series, anomaly detection, and capacity forecasting systems against complex operational and infrastructure data, earning the trust of domain experts and engineering teams along the way. Skilled in time series and ML-based forecasting and anomaly detection (ARIMA, Prophet, LSTM, kNN), MLOps and production model deployment, and translating ambiguous operational problems into reliable models. MS in Mathematics, with deep proficiency in Python and SQL.

Proven track record owning forecasting and anomaly detection systems end-to-end in high-stakes infrastructure environments, mentoring data science teams, and actively building hands-on expertise in agentic AI frameworks and tooling.

ASSOCIATE DIRECTOR, DATA SCIENCE - Digitas - Plano, TX

(2025-11 - 2026-04)

• Led end-to-end automation of a cross-Line-of-Business Performance Analytics initiative, delivering dynamic reporting frameworks that improved sales visibility and marketing planning decisions across LTA, MTA, Halo, and frequency analyses.
• Led advanced analytics initiatives, statistical modeling, and machine learning effords to solve complex marketing and business problems.
• Led end-to-end delivery of Marketing Mix Modeling, attribution, and incrementality solutions using Python, SQL, Spark, and GCP (BigQuery, Looker).
• Acted as a strategic partner to media, creative, and commerce teams, ensuring data science solutions aligned with business objectives.
• Built and scaled high-performing data science teams through mentoring, technical guidance, and cross-disciplinary collaboration.
• Applied production-grade Python practices (modularization, testing, performance tuning) and used AI-assisted development tools to accelerate pipeline delivery and code quality.

DATA SCIENTIST - META - Irving, TX

(2024-09 - 2025-06)

• Led end-to-end data science initiatives across infrastructure and security domains, partnering with cross-functional engineering teams to drive data-centric solutions aligned with organizational priorities (Infrastructure Capacity Planning - ARIMA models, time series forecasting; SaaS Security Maturity Measures – metric creation and presentation process, Python – Sktime, Statsmodels, Pmdarima, FbProphet).
• Translated technical and business requirements into analytical workflows, identifying and acquiring relevant datasets to support impactful insights (SQL, PRESTO).
• Performed advanced data mining, anomaly detection, and feature engineering to uncover trends across infrastructure, security, product usage, and operations; integrated external signals and covariates (product usage trends, system utilization metrics) into forecasting models to improve accuracy and support capacity investment decisions. (Python: Pandas, NumPy, Scikit-learn, TensorFlow, Seaborn, Matplotlib)
• Developed and implemented interpretable, actionable metrics that support strategic decisions and system reliability.
• Collaborated with data engineers to optimize data pipelines and ensured data quality and governance.
• Presented findings and recommendations clearly to both technical and non-technical stakeholders, supporting leadership and strategic roadmap discussions (documents, dashboards, MS Word, Excel, PowerPoint, Unidash, Daiquery).
• Contributed to the growth of the internal data science discipline, fostering a culture of learning, knowledge sharing, and collaboration (weekly meetings, data science 'coffee talk', initiated joined data science efforts movement).

INFRASTRUCTURE PLANNING LEAD DATA SCIENTIST - CITI - Irving, TX

(2017-07 - 2024-03)

• Demonstrated exceptional skills and expertise by leading end-to-end data engineering projects, including data acquisition, data preprocessing, and integration using SQL, Python, JavaScript (JQuery), HTML and REST APIs, MS Excel (VLookup); predicted memory, CPU, and storage resource needs for private cloud data center infrastructure to guide capacity purchasing decisions in partnership with engineering teams; end-to-end pipeline ownership contributed to $20M+ in infrastructure savings in 2019 (Go
• Spearheaded the creation, implementation, and evaluation of advanced prediction models, including cluster breach and capacity growth prediction (kNN model: 97.58% accuracy, detected 505 of 515 actual breaches), utilizing linear and logistic regression, k-nearest neighbors (kNN), decision trees, artificial neural networks (ANN), and custom algorithms; performed root cause analysis on forecast misses and implemented model fixes to improve subsequent production cycles. R, Python (Pandas, NumPy, Job
• Successfully orchestrated the seamless migration of Data Science projects from a custom environment to an enterprise analytics system, optimizing efficiency and accessibility across the organization.
• Created and maintained relational databases for data storage and retrieval, improving data availability for cross-functional teams (MS SQL Server).
• Led the data science efforts within Citi Infrastructure Planning's Advanced Analytics, ML, and AI team, managing a tech-manager role and collaborating with a team of data scientists and analysts.
• Supported the leader's duties with a 70/30 split between technical work/training and administrative leadership, driving advanced modeling and robotic process automation for problem-solving and cost efficiencies in Citi's cloud infrastructure.
• Built predictive models using Python and R to forecast demand, optimize workload placement, and increase profitability (capacity planning, time series forecasting, Prophet model, ARIMA models); owned recurring production forecasting cadence supporting infrastructure resource allocation and pre-allocation planning decisions globally.
• Translated business objectives into AI initiatives and drove successful executions.
• Served as subject matter expert for other teams and colleagues regarding data science and AI.
• Contributed to a Generative AI initiative (Kore AI) building an internal RAG-based chatbot, including prompt design, knowledge base integration, and retrieval pipeline development.

QUANTITATIVE ANALYST - Pacific Union Financial - Irving, TX

(2017-02 - 2017-07)

• Supervised creating and automating impactful reports, leveraging tools such as Power BI, MS SQL Server, and MS Excel to enhance the team's data visualization and decision-making capabilities.
• Developed a specialized Credit Calculator using MS Excel (VLookup Macros), providing an efficient internal tool that streamlined credit assessment processes, fostering accuracy and expediency in decision-making.
• Proficiently addressed multiple ad hoc requests with swift responsiveness, demonstrating a commitment to delivering timely solutions and ensuring operational continuity.

DATA ENGINEER - RAPP - Irving, TX

(2016-07 - 2017-02)

• Implemented robust quality control measures, ensuring data and reports precision, streamlining an error-free database system.
• Recommended continuous improvements for data accessibility and reporting aligned with dynamic business needs.
• Meticulously worked on customer behavior, leading to the effective development of targeted marketing campaigns.
• Developed and deployed campaigns by crafting SQL queries and designing data flows using IBM Unica, optimizing data accessibility and reporting accuracy.
• Automated data processes and reports, increasing operational efficiency and reducing manual workload, showcasing a commitment to technological advancement.
• Contributed to the Data Science team's success by actively participating in creating data models using R and SQL, demonstrating a holistic approach to data-driven solutions.

DATA ANALYST / DATA SCIENTIST - Covenant Health Partners - Lubbock, TX

(2014-11 - 2016-06)

• Automated several reports and dashboards (MS Excel - VLookup, MS Access, MS SQL Server, R – data analysis and visualization) – created reports and benchmarks to provide in-depth data analytics to support the CHP strategic objectives.
• Revolutionized reporting efficiency by expertly automating a previously time-intensive manual report, reducing the process duration from 40 hours to just 15 minutes.
• Played a significant role in database design and creation, ensuring database integrity (MS Access, MS SQL Server).
• Lead Hospital Readmissions Prevention initiative using ML methods (SQL, R).

QUANTITATIVE ANALYST - M Capital - Warsaw, Poland

(2010 - 2012)

VAT REPORTING SPECIALIST - Hewlett-Packard Global e-Business Operations - Wroclaw, Poland

(2009 - 2010)

PRIVATE INSTRUCTOR - Sylvan Learning Center - Wroclaw, Poland

(2008 - 2009)

DATA ANALYST - Dialog Telecom - Wroclaw, Poland

(2007 - 2008)

SOFTWARE DEVELOPER / RESEARCH ASSISTANT - Fraunhofer Institute for Industrial Mathematics - Kaiserslautern, Germany

(2006 - 2006)

SOFTWARE DEVELOPER / RESEARCH ASSISTANT - Fraunhofer Institute for Experimental Software - Kaiserslautern, Germany

(2005 - 2006)

Master of Science - Mathematics - Wroclaw University of Technology

Bachelor of Science - Computer Science - Warsaw University of Technology

Software Engineering - University of Kaiserslautern