Data Science Machine Learning

Daiyce Ovando Email: ************@*****.*** Cell: 956-***-****

Brownsville, TX 78521 LinkedIn: https://www.linkedin.com/in/daiyce PROFESSIONAL SUMMARY:

Results-driven and multidisciplinary professional with a strong foundation in statistics, data science, and engineering, combined with over 10 years of experience in education, quality engineering, and data analysis. Proficient in leveraging advanced tools such as Python, Minitab, SQL, and Excel to deliver data-driven solutions, predictive models, and process optimizations across manufacturing, education, and insurance sectors. Known for driving measurable results, such as reducing error rates, enhancing financial strategies, and streamlining processes through Lean and Six Sigma methodologies. Passionate about continuous learning and skill development, I have cultivated expertise in statistical modeling, predictive analytics, machine learning, and quality control, while expanding into emerging areas like Generative AI and cybersecurity foundations. My ability to adapt to new challenges, combined with a proven track record in teaching, leadership, and AI model training, underscores my commitment to personal growth and delivering innovative, impactful solutions across disciplines. EDUCATION:

The University of Texas Rio Grande Valley, Edinburg, TX Aug 2022- Exp 2025 Master of Science in Applied Statistics and Data Science (GPA 3.71) The University of Texas Rio Grande Valley, Edinburg, TX May 2015-Dec 2017 Master of Science in Manufacturing Engineering (GPA 3.4) The University of Texas at Brownsville, Brownsville, TX Aug 2010- Dec 2014 B.S. in Engineering Physics: Concentration in Bioengineering EXPERIENCE:

Outlier, United States (Remote) Jul 24 - Present

Math Content AI Expert

Train generative AI models by assessing the factual accuracy, relevance, and quality of AI-generated math content. Craft and answer advanced mathematical questions to enhance AI understanding and responses. Evaluate and rank AI-generated text to ensure domain-specific accuracy and alignment with user needs. Contribute to the development of reliable, high-quality mathematical outputs for AI systems. FAMPRO LLC, Brownsville, Texas Jun 24 - July 24

Data Analyst Intern

Analyzed marketing and sales data using Excel and Python, focusing on profitability and strategic decision-making. Developed predictive earnings models and created a control system for financial planning, setting monetary goals for different policy types. Applied combination formulas in Python to compute monetary goal suggestions and incorporated future profit predictions into forecasts. Delivered data-driven recommendations that improved strategic financial planning, forecasting accuracy, and overall profitability. Idea Public Schools, Brownsville, Texas Jan 18 - Present Advanced Placement (AP) Math Teacher

Led and Taught: For 6 years, led International Baccalaureate (IB) Math courses, emphasizing analytical and statistical skills. Ensured Compliance and Accuracy: Managed compliance and data accuracy for all required standardized tests. Maintained and Updated: Created and maintained custom dashboards to track student performance. Courses Taught: IB Math Analysis SL, IB Math Applications, AP Precalculus, AP Calculus, AP Statistics. Generated a rating system that helped with the student score projection. Summer Testing Coordinator Jun 22 - Jul 22

Developed and executed campus testing plans for various assessments, ensuring compliance with timelines. Collaborated with IT to prepare computers for online testing, ensuring readiness. Conducted audits of test booklets and answer documents, ensuring accuracy and compliance. Oversaw testing sessions and communicated schedules and updates to families, maintaining guideline compliance. District Content Lead Jul 21 - Jul 22

Developed Roadmap Certification Modules: Created district-wide certification-based modules using 360 Learning, incorporating adult learning principles. Facilitated Teacher Development: Used Microsoft Teams to develop scope and sequence for teachers across campuses and led monthly and quarterly trainings for IB Math instruction. Collaborated with teachers to lead course development, and conducted 1:1 meetings to support new teachers’ transition into the IB program, and created Excel spreadsheets to monitor student progress. Conducted curriculum meetings to share resources and maximize teacher effectiveness, resulting in improved student success. 12th Grade Team Lead Aug 20 - May 21

Managed and Coordinated schedule changes with counselors to ensure smooth daily operations and organized team-building activities to foster a strong team environment. Provided mentorship and support to new teachers for successful integration, and held 1:1 meetings with the IB coordinator to achieve program goals. Led Communication: Conducted daily morning huddles to share updates and facilitated teacher training on Microsoft Teams and other online tools for virtual instruction. Streamlined Processes: Developed meeting templates to enhance the efficiency of on-the-go (OTG) meetings and ensure seamless communication.

Intel Labs, Hillsboro, Oregon Nov 16 - Dec 17

Manufacturing Engineer Technician

Led semiconductor wafer production within the D1D developmental fab team. Manage the product and engineering relationship, ensuring seamless operational continuity & Conduct preventive maintenance on processing tools to minimize downtime. Collect statistical process control (SPC) data to enhance the process yield & Apply LSS techniques and adhere to ISO quality standards for process optimization. Contribute to efficiency and product quality improvements in the fabrication process.

Cardone Industries, Harlingen, Texas Aug 2016 – Nov 2016 International Graduate Student Quality Intern

Worked onsite at the manufacturing plant in Mexico, leading audits and enhancing control plans to improve process effectiveness. Reconciled AS400 system input discrepancies to ensure data integrity and created visual aids for First Time Quality (FTQ) metrics. Utilized Minitab for Gauge R&R analyses to evaluate measurement system variability and applied the Kaizen method to identify and implement process improvements. Gained hands-on experience in warehouse operations every Friday in Harlingen, Texas, supporting supply chain processes and inventory management. Successfully completed the Cleanliness Manufacturing Process Project, including:

• Developing a quality sampling methodology to systematically gather contamination data at various production stages.

• Conducting contamination trend analysis to identify sources, paths, and trends over time.

• Achieving measurable improvements: reduced contamination risks, enhanced product reliability, and increased customer satisfaction.

• Contributed to PFMEA and risk mitigation strategies to optimize workflows and minimize waste.

• Improved manufacturing cleanliness standards, positively impacting overall product quality. Rich Products Corporation, Harlingen, Texas Jun 16 - Aug 16 Six Sigma Project Intern

Led a successful Six Sigma project targeting weight variations in raw material extrusion Used Minitab to study correlations between system pressure and extrusion results. Frequently test and evaluate samples from the relevant samples. Proposed quality check process modifications post-extrusion that reduced waste.

Chem- Pruf, Brownsville, Texas Jun 16 – Aug 16

Lean – Project Intern

As a Lean Manufacturing Intern, I implemented key Lean methodologies such as 5S, 9 Wastes, Takt Time, and Value Stream Mapping (VSM) to optimize production processes. I developed and piloted an Auto Pilot Lean training program for team leaders, which expanded to 70 production line operators after its initial success. By fostering operator involvement and collaborating with the plant manager and Lean champions, I helped achieve annual cost savings of $35,000–$50,000 through successful project implementation. These efforts enhanced process efficiency, operator engagement, and overall production performance.

CERTIFICATIONS:

Six Sigma Green Belt Current

Expert Rating Inc - Credential ID - 3ZR5TWZ5GMBR

Certificate in Data Analytics Current

The University of Texas Rio Grande Valley - Credential ID CEUs: 3 Provider 1307375 Generative AI Current

Microsoft and LinkedIn -Certificate ID: 222340a0a310a42be9581038c80ea85ddf5cd8d26b62dee8b51d09a42ef226ce Playing it Safe: Managing Security Risks, Current

Coursera ID 3ZR5TWZ5GMBR

Foundations of Cyber Security, Current

Coursera ID DYJQW9QXJP89

Mathematics 7- 12, Current

Texas Education Agency, Credential ID 2129437

SKILLS: Years of Experience

Office Applications: Microsoft Office Suite, Teams 10+ 3D Modeling Design: AutoCad, Cn3d, SolidWorks, OPERA 10+ Statistical Tools: Minitab, Python, SAS, MatLab, Excel, SQL 10+ Virtual Tools: Teams, Zoom 5

Data Aggregation Tools: APIs, Files, Database Connections 3 Quality Engineering: Six Sigma, Lean Manufacturing, FMEA, SPC, Kaizen, Auditing, Root Cause Analysis, ISO 9001 Educational Skills: Curriculum & Professional Development, Online Teaching Language: Spanish, English Native Proficiency

Machine Learning: Supervised Learning, Unsupervised Learning, Predictive Modeling 5 Data Analysis: Data Cleaning, Data Visualization, Statistical Analysis 5 Programming: Python 3

Statistical Modeling: Regression Analysis, Hypothesis Testing 5 Predictive Maintenance: Predictive Analytics, Time Series Analysis 3 Quality Control Automation: Automated Inspection, Defect Detection 3 Data Visualization: Matplotlib, Seaborn, Tableau 5 PROJECTS:

Optimizing Financial Performance through Data-Driven Insights and Predictive Modeling in the Insurance Sector- FAMPRO LLC, Brownsville, TX I analyzed marketing and sales data, focusing on profitability and strategic decision-making, using Excel and Python for data manipulation, statistical analysis, and predictive modeling. My projects included developing predictive earnings models using historical insurance policy data, identifying March as a benchmark for monetary goals, and creating a control system for financial planning. I used Python to compute six monetary goal suggestions based on policy combinations and incorporated future profit predictions into financial forecasts, calculating potential profitability for each suggestion to provide data-driven recommendations. I applied my proficiency in Excel and Python for data analysis, statistical modeling, and predictive analytics, and honed strategic planning and problem-solving skills to navigate variable commission structures and premium costs. Despite challenges like managing diverse policy types and data variability, I implemented a control system for monetary goals, enhancing Fampro's strategic decision-making and financial strategy. This experience advanced my understanding of market dynamics, financial forecasting, and the insurance industry, while strengthening my ability to articulate data insights to stakeholders, ultimately contributing significantly to Fampro's efficiency and financial performance. International Baccalaureate Score Projection Rating System, IDEA Brownsville, TX Used IB published global release data which identifies what scores most likely correlate to the performance of students in a class. Centralized this data, and built a specific model that helped teachers project the outcome of their student’s grades and the likelihood of their attainment of the IB standards. The model I produced was built to address two main biases: First, the global release data is a general model that is not representative of the students we serve in the classroom, and utilizes long-term historical data. As a result, I used a localized model that implemented a calculated bias to account for the results of more recent students from our region and their success. My model significantly reduced the error rate of the older model. Localized Model Error Rate at 5%

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