Data & Machine Learning Engineer

OMAR MORALES

512-***-**** git@scmclimited ********@****.*** Capstone Projects Portfolio bit.ly/Omie LinkedIn Profile DATA & MACHINE LEARNING ENGINEER

PROJECT MANAGEMENT DATA SCIENCE MACHINE LEARNING DATABASE DESIGN CLOUD COMPUTING

Accomplished Machine Learning Engineer eager to leverage 9+ years of valuable experience and expertise in delivering innovative solutions across cloud management and geospatial product spaces, while driving business growth. Deep experience integrating advanced analytics and aligning product roadmaps with customer goals. Uniquely qualified to deliver wide-ranging, impactful results and technological advancements in the industry.

Forward-thinking in designing ETL pipelines, optimizing data processes, and enhancing operational efficiency, demonstrated through a 25% logistics improvement and significant cost reductions. Successfully leads projects and mentors teams, while quickly learning new technology and processes in evolving work environments. Demonstrated success in project management, consulting, case studies, and an innate ability to keep current with technological trends. EXPERTISE

• Expert Project Management • Machine Learning & AI • Process Optimization • Statistical Analysis • Data Visualization

• Natural Language Processing • Project Management • Technical Leadership • Business Growth • Customer Journey

• Predictive Models/Analytics • Big Data Streaming • Stakeholder Relations • Quantitative Analysis • Automation

• Data Science & Research • Product Management • Supply Chain Analysis • Cloud Management • Managed Services CAREER PROGRESSION

Site Reliability Engineer (SRE) — Sysco LABS — Austin, Texas March 2021 – Jan 2025 Lead role originating operational enhancements and Standard Operating Procedures (SOPs) for supply chain observability and support escalation optimization.

Significantly improved system uptime compliance and delivery reliability by automating observability systems and implementing feedback loops, resulting in reduced manual troubleshooting time and enabling data-driven decision- making for supply chain performance.

Optimized supply chain operations by reducing data processing time by 60%, enhancing system scalability and fault tolerance through optimized data pipeline architecture and real-time data ingestion.

Integrated DataDog workflows into the enterprise data pipeline DataFrame architecture, optimizing operational environments and processing un-stored values in support data streams, enhancing scalability and anomaly mediation.

Designed and implemented post-mortem enhancements through iterative feedback loops, fostering continuous improvement.

Facilitated cloud observability systems, including DataDog and CloudWatch, ensuring uptime compliance for mission- critical supply chain projects.

Built innovative ETL & ELT pipelines (Kafka, Spark, RDS) with advanced processing tools, transforming unstructured data into actionable insights for cross-departmental stakeholders.

Provided ongoing, extensive operational knowledge and engineering expertise to drive system efficiency and improve support-facing functionalities.

Managing Partner, Supply Chain Specialist & Micro-greens Farmer — SunCity Greens, LLC — Austin/El Paso, Texas Jan 2021 – Jan 2025

Spearheaded management of end-to-end operations of a successful micro-greens farming enterprise, effectively meeting key market demands for farm-to-table supply chains.

Implemented AI-driven geospatial analytics and demand forecasting models to optimize crop yields and delivery schedules, increasing production efficiency by 30%.

Achieved reduction in waste while minimizing delivery delays and optimizing farm-to-market logistics.

Provided ongoing, critical supply chain insights to partner restaurants by leveraging geospatial analytics and demand forecasting methods.

Successfully scaled operations by employing Agile methodologies and machine learning techniques to minimize operational delays.

OMAR MORALES

El Paso, Texas 79936 512-***-**** ********@****.*** Capstone Projects Portfolio bit.ly/Omie LinkedIn Profile Geospatial Applications Analyst Tier 2 — TELUS International — Austin, Texas Jan 2018 – March 2021 Key role conducting quality assurance testing and debugging of internal Google Cloud infrastructure and public-facing APIs, utilizing Python, Node.js, and MySQL. Advanced to Tier 2 role based on expertise in geospatial applications development.

Optimized geospatial workflows for high-profile clients (Uber, Tesla, NSA) through Google Maps API, Python, and MySQL, resulting in 25% increase in logistics efficiency and enhanced data accuracy for better decision-making.

Significantly improved logistics efficiency by reducing delivery times by 20%, optimizing fuel usage, and raising geospatial accuracy through a predictive routing model leveraging Python, TensorFlow, and Google Maps API.

Engineered and implemented geospatial workflows using Google Maps APIs to optimize data processing for logistics and supply chain applications.

Performed complex testing and debugging of high-complexity tasks, leveraging Python, MySQL, and BigQuery for data integration.

Developed, maintained, and leveraged in-house solutions for geospatial applications.

Created and maintained comprehensive documentation for Google Cloud infrastructure, Google Maps Gaming SDK

(C#), and API implementations.

SALES & BUSINESS DEVELOPMENT EXPERIENCE

Business Development & Employer Relations — GradLeaders, LLC — Austin, TX 05/2016 – 05/2017

Spearheaded rollout of employer engagement solutions across higher-ed recruiting platforms, leveraging CRM tools

(Salesforce, NetSuite) to optimize outreach and pipeline growth.

Consistently exceeded client acquisition goals by developing scalable outreach strategies and improving sales cycles through training and team coaching.

Led employer partnerships across thousands of campuses nationwide, enabling enterprise-level adoption of recruitment technologies.

Recognized for initiating B2B growth strategies that enhanced long-term client retention and expanded service adoption.

Retail Associate Manager — T-Mobile USA — Austin, TX 10/2010 – 05/2016

Grew B2B sales participation by over 80%, coaching retail teams to exceed quotas and develop local business engagement strategies.

Initiated customer retention programs that reduced churn and improved upselling efficiency for accessories and device add-ons.

Developed and led new-hire onboarding programs to accelerate rep productivity in high-volume sales environments.

Honored for top closing performance and leading multiple districts in month-over-month account activations. Direct Inside Sales Team Leader — Dish Network — El Paso, TX 08/2009 – 04/2010

Ranked #1 bilingual sales associate (out of 425 reps) for 6 consecutive months; led a team that achieved top 3 national performance.

Designed peer training sessions and competition programs that boosted rep engagement and maintained a 98% retention rate.

Increased rep close rates through tailored objection handling and solution-based selling.

Maintained CRM integrity and reporting pipelines to improve lead tracking and campaign performance. Marketing Specialist — Saratoga Modular Homes LLC — El Paso, TX Jun 2006 – Aug 2008

Directed regional marketing campaigns for new modular home communities, boosting foot traffic by 35% across three model sites.

Managed full-cycle event coordination including promotional sweepstakes, signage logistics, and weekend sales initiatives.

Coordinated local advertising across print and radio; developed market segmentation strategies based on local income demographics.

OMAR MORALES

El Paso, Texas 79936 512-***-**** ********@****.*** Capstone Projects Portfolio bit.ly/Omie LinkedIn Profile CONSULTING

Founder & Managed Services Provider — Independent Product Consultant — Austin, Texas July 2015 – January 2025 Gained valuable experience and transferable skills as Consultant, delivering managed services focused on cloud management, data engineering, and geospatial product solutions for multiple startups and enterprises.

Achieved 20% higher customer engagement and accelerated time-to-market by deploying scalable AI/ML solutions, AI-powered geospatial workflows, Big Data solutions, and building models for automation and predictive analytics.

Expertly designed and implemented geospatial workflows using Google Maps APIs, optimizing logistics and supply chain processing, which led to a 25% increase in efficiency.

Worked closely with stakeholders to troubleshoot and debug high-complexity workflows, leveraging Python DataFrames (Pandas), GPU/CPU accelerated DataFrames (Cuda, HIP, OpenMP), and MySQL for robust data integration solutions.

Engineered and deployed Big Data solutions utilizing Hadoop, Apache Spark, and Hive, enabling scalable product architectures and significantly reducing time-to-market for enterprise applications.

Facilitated product roadmaps aligned with customer goals, focusing on AI/ML-powered automation and NLP-driven insights, improving customer engagement by 20%.

Innovated ELT pipelines and real-time analytics systems utilizing Kafka Streams and Flink, thereby reducing data processing bottlenecks in distributed environments.

Mentored and coached cross-functional engineering and data teams to improve feature releases alignment with customer expectations, while driving extensive product overhauls through an Agile approach. EDUCATION

Texas McCombs School of Business Oct 2024 – July 2025 Post Graduate Program, Artificial Intelligence & Machine Learning: Business Applications Program developed in collaboration with world-renowned institutions, including Stanford University and MIT Professional Education. Focused on enterprise applications of AI/ML technologies and big data analytics. University of Texas at El Paso (UTEP)

Completed advanced coursework in computer science, focusing on algorithmic thinking and software development principles. RELEVANT TECHNICAL SKILLS

AI & Machine Learning, Cloud Management Tools (DataDog, CloudWatch, Splunk, NewRelic), Big Data Tools (Hadoop, Kafka, Hive, Spark), Geospatial Solutions (Google Maps, APIs, Python automation) Data Analytics Tools & ML frameworks (scikit- learn, TensorFlow, PyTorch, Keras), Computer Vision, Supervised Learning, RAG, RAR, DBT, ETL Pipelines, NCCL, Cuda, GPU acceleration, CMake, ServiceNow, Salesforce, AD

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