About Me

Senior Data Scientist

Led the feasibility analysis of NextGen Consumer Engagement, engaging business and technical teams to translate the business problem to a scoped ML solution. Key partner in the ideation phase to determine a $7.4M value estimation for 2023 that was approved by the executive steering committee.

Own the implementation and enablement of Esri ArcGIS among Enterprise Analytics, engaging across business and technical teams to ensure value realization, an estimated 5x ROI.

Received numerous recognitions for ability to articulate and inspire enterprise teams towards achieving world-class AI maturity via effective communication, strategic planning, and collaborative leadership. Supported two individuals on the team as a lead and mentor.

Delivered detailed statistical analysis to inform recommendations for a custom national Hospital Value Index's missing data and geoenrichment considerations, as well as developed topic modeling & similarity analysis for a Jira workflow consolidation medium fidelity prototype using NLP.

Lead Data Scientist

Responsible for data science strategy and maintaining firm goals within the data science team.

Engage with analytical and operational leaders, fostering an understanding of how ML products can drive impact with their workflows and ideating machine learning solutions based off their business needs.

Communicate business performance and project progress to management & business partners using a non-technical, comprehendible approach.

Lead the development and implementation of NLP ML solutions to solve business problems associated with human rights issues. Models deployed include a deduplication solution built on logistic regression and hierarchical clustering that reduced redundancy by 17% as well as a CNN supervised managed classification solution that optimized technician's workflow by 25%.

Operate as an expert on experiment design, statistical analysis, and model deployment & sustainment. Disciplined in delivering AI products.

Lead Cloud Security Data Scientist

Curate, prepare, and disseminate various security and asset data sets and telemetry into downstream systems (BI, GraphDB, data lake, etc.)

Select, train, model, and deploy various algorithms for the purpose of anomaly detection, risk assessment and other security data science use cases.

Responsible for the end-to-end creation, automation, and maintenance of data collection, ingestion, analyzation, visualization, and machine learning implementation.

Work across stakeholder groups to onboard new requirements and use cases to existing data ingests and machine learning initiatives.

Utilize machine learning technology to generate insights for the business relevant to new and emerging threats, risks, and similar trends.

Continuously improve technical and leadership skills through training and development.

Cloud Security Engineer

Responsible for creating security automation for response and remediation of compliance findings and hardening of AWS and VMWare Cloud on AWS (VMC) environments primarily, and Azure or GCP secondarily

Onboard corporate and open-source security tools into build pipelines including SAST, DAST, TVM and anti-virus tools using Cloud native and open-source tooling and create custom tooling where needed to fill in gaps

Partner with the cybersecurity operations center (CSOC), offensive security operations and threat intelligence teams to onboard new services for the purpose of detection and predication of events

Data Analyst

Represent the head of Women @ IHS Markit Nashville where we serve as a source of empowerment for women in the tech world.

Work closely with senior management and serve as a liaison between our clients and the companies within their investment portfolio, many of which include fortune 500 companies, venture capital firms, private equity firms, real estate holding companies, and tech startups.

Facilitate the acquisition of financial data from across our client base thus ensuring the smooth implementation of the data onto IHS Markit’s proprietary software platform with a high degree of accuracy and efficiency.

Tasked with analyzing and interpreting company income statements, balance sheets, articles of incorporation, cap tables, statement of cash flow, budgets, etc.

Collaborate with colleagues across various teams and regions in order to make improvements to the IHS Markit software platforms.

Provide tech support and troubleshooting services to clients that experience issues with internal product offerings.

Community Involvement

Participant of Company Wide Data Science Competition at IHS Markit

Mantainer of Public Sourced Dedupe Library in Conda-Forge

Member of Pi Mu Epsilon Mathematics Society

Member of Lipscomb University Data Science Alumni Society

Additional Skills

Experienced: AWS (SageMaker, DynamoDB, Neptune, Quicksight, S3, Ec2, Lambda, API Gateway), Palentir Foundry, Relational and Graph Databases, PowerBI, Graph Neural Networks, CI/CD, DevOps, and MLOps pipelines.

Familiar: Azure, GCP, AWS (Glacier, Elastic Map Reduce, Kinesis, Redshift, Glue), Spark, Hadoop

Computer Language: Python, R, Java, SQL, Gremlin