Abera A. Email & Phone Number

Texas, United States

Arlington, Virginia, United States

Developed and designed machine learning and predictive analytics tools to enhance financial risk management and optimize consumer and commercial loan portfolio performance.Conducted in-depth analyses, including ad hoc and behavioral/performance data evaluations, to identify emerging risks, assess policy changes, and evaluate macroeconomic impacts on portfolio performance.Provided validation and testing of quantitative credit risk loss forecasting models under CECL, ensuring compliance with regulatory requirements and accuracy and reliability of quarterly ACL forecasts, and identifying opportunities for improvement.Implemented custom validation scripts and tools, automating model evaluation and streamlining processes.Collaborated with cross-functional teams to implement model improvements, optimized performance, and effectively communicated validation results and actionable recommendations to stakeholders through detailed reports.

Palo Alto, Ca

Designed and implemented a predictive model to quantify key factors influencing resource utilization, providing actionable insights and recommendations to optimize and enhance resource allocation and efficiency.Developed a machine learning-based crop classification model, improving crop yield forecasting, risk assessment, and precision agriculture planning by enhancing crop area estimation and small-area estimation accuracy.Provided analytical support and guidance, selected optimal models for complex data, and developed custom analytics models to drive value for customers and our organization's competitive advantage.

Seattle, Washington, United States

Designing and implementing large-scale machine learning and natural language-based solutions that help agricultural productivity to simplify loan challenges.Led pilot projects to modernize public sector data management, boosting adoption of new tools and data science applications.Researched on hedging the effect of climate change on crop yields by pricing weather index insurance.Provided analytical support to collaborate with stakeholders and fulfill their analytics request, utilizing robust problem-solving skills to identify and mitigate risks.

Built a machine learning model that predicts loan defaults using Call Record Data (CRD). This model has significantly improved financial access and identified key risk factors for loan defaults.Developed comprehensive dashboards and reports to visualize and monitor key characteristics, performance metrics, and trends to facilitate data-driven decisions.

Canterbury, United Kingdom

• Modeling the dynamics and properties of vortices • Developed a numerical model to calculate the metrics of dynamics of vortices with impurities. • Implemented techniques of topological data analysis (TDA) to understand the dynamics of vortex scatting.

Canterbury, United Kingdom

• Modeling dynamics of topological solitons (vortices and lumps) • Developed sophisticated data analyzing pipelines to extract insights from soliton scattering measurement datasets using Python, MatLab and machine learning. • Developed topological data analysis based model to understand the dynamics of solitons and calculate their geometric properties.

Doctor Of Philosophy (Phd), Applied Mathematics

Postgraduate Diploma, Mathematics, Unesco/Iaea Scholarship.