Pivotal role in business analytics through tools such as Power BI and Python converting complex environmental and federal datasets into strategic business intelligence.

• Created SQL pseudo-fuzzy extraction process for sales, marketing, and financial stakeholders, resulting in a 15-45% increase in accuracy and improved efficiency of queries.• Developed machine learning models to analyze sentiment in customer-agent interactions, providing real-time performance to the supervisors and agents.• Utilized Decision Tree models to enhance classification results by 20%.• Provided various Power BI dashboards during testing of sentiment models using Databricks on Azure.

Contract for Charter Communications• Optimized complex SQL queries to extract and manipulate large datasets, enabling data-driven insights through BI tools (Tableau, Power BI).• Utilized SQL expertise to streamline data extraction processes, significantly reducing query execution time by 30% and contributing to overall operational efficiency.• Spearheaded the design and creation of dynamic Tableau dashboards, effectively translating raw data into visually engaging and actionable insights for cross-functional teams.

Contract for Charter Communications• Developed time-series dashboards with Grafana for customer incident mapping requests.• Liaison between Product Management, Engineers, IT, and Customer Operations for operational support and development of new products.

• Optimized application of convolutional neural network algorithm for flattening velocity gathers, with transfer learning and parallelization achieving a 25% improvement in computational efficiency.• Decreased downtime by 20% by improving communication between teams involved in diagnosing complex systemic hardware and software issues. • Evaluated the feasibility of integrating Google Cloud, which reduced local computational load by 40% during peak usage.

• Created and delivered technical training for more than 70 staff members — collaborating with department heads and line managers to develop and integrate strategic L&D plans that improved employee performance. • Reduced training costs by $230K per year by improving data and project management of curriculum.• Facilitated 90% of staff achieving promotions within their defined career development path.

• Built anisotropic velocity models and updated velocity fields by means of reflection tomography (with geological constrains) and Full Waveform Inversion (FWI).• Processed 2D & 3D marine seismic data pre and post salt basin regions in the Gulf of Mexico, Brazil, and West Africa.• Researched and tested the application of neural networks for velocity analysis.• Achieved $2MM+ extension of an existing contract by implementing imaging of a major change in acquisition technology, and training clients on new technology.