Abel
Atares de Sus
Data Specialist & Mathematician · 5+ years
Data & AI Engineer with 5+ years of experience delivering scalable data solutions and products across Finance, AI, Banking, Consulting, Healthcare & Education.Strong expertise in Python and SQL, with experience in Machine Learning, data pipelines (ETL/ELT), automation and API development. Skilled in cloud and data platforms including Azure, Databricks and Snowflake, as well as Docker for containerized workflows. Experienced in data visualization and reporting with Power BI and Tableau, focused on building reliable, high- impact data-driven systems.
Work Experience
- Delivered web development skills using HTML, CSS, JavaScript and PHP.
- Delivered applied computer science competencies in programming, data analysis and databases.
- Mentored students in hands-on projects using Python and SQL, fostering a results-oriented, analytical and collaborative mindset.
- Led a 4-person Infrastructure Team within the IT Department.
- Managed monthly reporting operations, reducing processing time by 55% through workflow optimization.
- Processed and analyzed large datasets using Python, SQL and XML to generate actionable insights.
- Developed scalable ETL data pipelines in Oracle Data Warehouse environments, implementing CI/CD practices to enhance efficiency and data reliability.
- Designed and delivered interactive Power BI and Tableau dashboards to support data-driven decision-making and communicate insights.
- Improved model behavior, accuracy and reliability through structured evaluation and prompt optimization techniques.
- Specialized in data quality validation and ethical compliance, applying systematic QA, A/B testing and other methodologies to detect issues, verify fixes and ensure output consistency.
- Contributed to model evaluation workflows, ensuring high-quality datasets, ethical alignment and stable performance across testing pipelines.
- Designed, developed and deployed scalable Workday integrations (inbound & outbound) across multiple modules.
- Built client-specific solutions using Workday Studio, EIB, XML, Reports, Core Connectors, PECI & Web Services (SOAP, REST).
- Translated complex business requirements into efficient technical solutions, ensuring data accuracy and seamless system integration.
- Worked across HCM, Recruiting, Time Tracking, Compensation, Security and Reporting modules.
- Applied strong problem-solving skills in client-facing environments to resolve technical and operational challenges.
- Managed global customer data using SQL queries and Excel/Google Sheets.
- Designed and managed databases, contributing to data modeling and database design.
- Created dashboards and visualizations to support strategic planning and optimize customer management strategies.
- Provided science instruction to high school, covering mathematics, physics, chemistry and biology.
- Trained university students in mathematics subjects such as Calculus, Linear Algebra, Time Series, Statistics and Probability, helping them strengthen their analytical thinking and problem-solving skills.
Technical Skills
Projects
End-to-end image recognition system with production-ready API and containerized deployment.
Handwritten digit recognition building a neural network using only NumPy — no ML frameworks.
Comprehensive ML project focused on football data analysis, feature engineering and match prediction.
Interactive analytics dashboard analyzing US greenhouse gas emissions trends at scale.
Predicting academic outcomes with XGBoost vs baseline models. Feature importance analysis included.
Logistic regression model for tumor classification with full evaluation metrics and ROC analysis.
ML models predicting chemical solubility (logS) using molecular descriptors. Linear Regression vs Random Forest.