• Implementing data governance policies and standards within TIAA's People Team Data Management data domains, which includes: - Defining data sources, standard format, and assigning classifications and quality thresholds- Documenting business lineage and transformation steps (e.g.: business rules)- Performing quality assessment and data entitlement oversight- Documenting technical lineage and data backup architecture- Supporting and documenting ongoing data archive/deletion requests- Standardising business metrics and associated assets- Defining entitlement rules and process- Certifying data assets as "trusted"- Documenting data issues and supporting data issues resolution- Executing against Enterprise data privacy policies, and maintaining documentation and proof in support of compliance and regulatory requirements- Building a comprehensive data catalog, including a business glossary and data dictionary (data element classification and metadata tagging) - Optimizing data management to ensure proper data controls and data quality are in place- Overseeing Data Analysts to ensure data governance standards and processes are implemented

• Spearheaded data privacy and governance program to help ensure company’s privacy and compliance standards were met across 3 company’s locations (US, UK, Egypt) and to abide by the EU’s GDPR and US state data privacy laws (TDPSA, DPDPA, UCPA)• Developed and implemented 10+ data privacy solutions, e.g.: data map, data access control tool, incident response team, incident response plan, data breach playbook, records policy management, privacy workshops, and international data transfer agreements• Supported Chief Compliance Officer (CCO), Data Protection Officer (DPO), and General Counsel on compliance initiatives

• Analyzed 10M credit risk data using SQL, Python, and Excel to design, develop, and maintain ongoing metrics, reports, A/B tests, dashboards, standard operating procedures, state reporting obligations (CAB), and to detect fraud for short-term lending sector - Leveraged Machine Learning techniques (e.g.: Logistic Regression, Random Forest, Decision Tree, kNN, Naive Bayes, K-Means, Linear Regression, XGBoost) to detect and reduce fraud by 15% and to optimize credit scorecard generation - Developed all company KPI dashboards (e.g.: liquidation/recovery, lead generation, collections) using Power BI/Tableau• Conducted data wrangling, e.g.: handling missing values, outlier detection, and data validation to improve data accuracy by 30%• Collaborated with cross-functional teams to complete ad-hoc requests and for analytical support to help drive business decisions• Lead direct mail campaign, while on secondment with the marketing team, by processing 15M+ potential consumer data from TransUnion to strategically target consumers with the highest likelihood of conversion from the WeLendUs direct mail campaign - Assisted with PPC marketing analysis and ad-hoc marketing tasks in SQL and Excel, as well as dashboards in Power BI

• Processed and modeled EM/AGC data (with Python, Access, Oasis montaj) at 5 military bases to detect 1000+ UXO for disposal• Managed and coordinated cross-functional team (~20 persons) as head geophysicist on-site to meet project goals and deadlines• Wrote 10+ standard operating procedures for data processing and acquisition of geophysical technology being used at InDepth

Achieved the Google Data Analytics Professional Certificate after the 8 courses and capstone project.• Utilized RStudio, BigQuery, Excel/Sheets, and Tableau to clean, visualize, manage, interpret, and analyze 1000+ smart device data• Analyzed smart device usage data to gain insights into how a sample size of 30+ consumers use smart devices to discover trends• Communicated this data analysis through 20+ visualizations and recommendations to improve company’s marketing strategies• Gained the following as skills: Data Analytics, Data Cleaning, Data Processing, Data Analysis, Data Visualizations (DataViz), Model Selection, R Programming, RStudio, RMarkdown, SQL, and Tableau.

Graduate internship placement as part of MSc dissertation: Acoustic Full-Waveform Inversion methods to measure seismic velocity and anisotropy from VSPs through a Greenlandic Outlet Glacier.• Applied acoustic anisotropic full-waveform inversion methods to high frequency (<400 Hz) DAS VSP glacier data in Greenland• Managed in-house software to refine initial velocities and anisotropy to test applicability of 3 forward modeling methods in ice• Introduced findings in 14,500+ word dissertation and poster to 30+ colleagues and professors at ION and the University of Leeds

Achieved the IBM Applied Data Science Professional Certificate after the 10 courses and capstone project.• Utilized Python (Folium, NumPy, Pandas), Google Maps API, and Foursquare API to scrape and characterize 1000+ web data• Administered relevant tools to carry out data analysis to determine the 10 best neighborhoods in NYC to start an Italian restaurant• Applied this data analysis to create 3+ business models and marketing strategies for an aspiring Italian restaurateur in NYC• Gained the following as skills: Data Science, Python Programming, Data Analysis, Pandas, NumPy, Ipython, Cloud Databases, Relational Database Management System (RDBMS), SQL, Predictive Modelling, Data Visualization (DataViz), and Model Selection