Hi there! I’m May Cooper, a data & ML professional with a strong mix of analytics, software engineering, and cloud skills. I hold an MSc in Analytics with a focus on Data Science and another MSc in Computer Science (ML), plus a BSc in Cloud Computing and a BSc in Computer Science, and I’m currently pursuing another MSc in CS - ML. Over 7+ years, I’ve designed and deployed ML solutions, data pipelines, and scalable cloud architectures, delivering measurable outcomes for finance, real estate, and tech platforms. I maintain a portfolio of 60+ projects and a broad set of certifications, spanning AWS, Azure, GCP, data science, DevOps, and software development. I’m passionate about turning data into actionable insights and building robust, reproducible systems that empower teams and executives. I thrive in cross-functional teams, translating complex data challenges into practical, high-impact solutions. I enjoy mentoring peers, exploring new ML techniques, and continuously improving the reliability and speed of data-driven decision making.

May Cooper

Hi there! I’m May Cooper, a data & ML professional with a strong mix of analytics, software engineering, and cloud skills. I hold an MSc in Analytics with a focus on Data Science and another MSc in Computer Science (ML), plus a BSc in Cloud Computing and a BSc in Computer Science, and I’m currently pursuing another MSc in CS - ML. Over 7+ years, I’ve designed and deployed ML solutions, data pipelines, and scalable cloud architectures, delivering measurable outcomes for finance, real estate, and tech platforms. I maintain a portfolio of 60+ projects and a broad set of certifications, spanning AWS, Azure, GCP, data science, DevOps, and software development. I’m passionate about turning data into actionable insights and building robust, reproducible systems that empower teams and executives. I thrive in cross-functional teams, translating complex data challenges into practical, high-impact solutions. I enjoy mentoring peers, exploring new ML techniques, and continuously improving the reliability and speed of data-driven decision making.

Available to hire

Hi there! I’m May Cooper, a data & ML professional with a strong mix of analytics, software engineering, and cloud skills. I hold an MSc in Analytics with a focus on Data Science and another MSc in Computer Science (ML), plus a BSc in Cloud Computing and a BSc in Computer Science, and I’m currently pursuing another MSc in CS - ML. Over 7+ years, I’ve designed and deployed ML solutions, data pipelines, and scalable cloud architectures, delivering measurable outcomes for finance, real estate, and tech platforms. I maintain a portfolio of 60+ projects and a broad set of certifications, spanning AWS, Azure, GCP, data science, DevOps, and software development. I’m passionate about turning data into actionable insights and building robust, reproducible systems that empower teams and executives.

I thrive in cross-functional teams, translating complex data challenges into practical, high-impact solutions. I enjoy mentoring peers, exploring new ML techniques, and continuously improving the reliability and speed of data-driven decision making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Sr. Data Scientist - ML Engineering at GEEK INC.
October 1, 2021 - November 5, 2025
Led architecture and development of a real-time trading-intelligence web platform built with Next.js and Python ML integration, improving decision visibility for executives and achieving a ~60% gain in prediction precision through live sentiment analytics, heuristic trading signals, and technical patterns derived from 1000+ publicly-listed companies. Engineered optimized RESTful API pipelines to stream and synchronize high-volume market and sentiment feeds with asynchronous requests, caching, and rate-limit handling, delivering live data at sub-second refresh intervals. Developed and deployed a Python NLP sentiment-analysis model trained on millions of social-media and financial-news posts using TF-IDF and logistic regression, later enhanced with transformer-based embeddings (BERT, PyTorch) for improved semantic precision, producing live sentiment-confidence scores. Implemented MLOps-driven CI/CD workflows and AWS cloud infrastructure leveraging SageMaker for automated ML model trainin
Business Data Analyst (part-time position) at LOUIS JAMES LLC (THE INDEPENDENT SPECULATOR)
January 1, 2022 - January 1, 2022
Conducted in-depth research and financial analysis of 400+ publicly listed resource-sector companies and produced comprehensive technical and financial reports using data visualization tools, KPIs, and risk assessments that supported investor decisions and contributed to an average 70% portfolio gain. Enhanced investment evaluation accuracy by performing sector, jurisdiction, and commodity-risk research and applying data mining and feature-engineering techniques to clean and standardize unstructured data from inconsistent sources.
Data Scientist – Data Engineer at KAMAL I GROUP REALTY
October 1, 2021 - October 1, 2021
Analyzed and modeled large real-estate datasets on property engagement, pricing trends, and user search behavior, using feature engineering, regression, and clustering to uncover demand predictors that increased listing traffic by 150% and boosted qualified leads, while presenting insights to executives to inform data-driven strategy. Engineered and optimized AWS-hosted client platforms and infrastructure using S3, CloudFormation, CloudFront, CI/CD, and Git, implementing auto-scaling and load-balancing to ensure real-time scalability and 99.9% reliability across campaign deployments. Applied data science research using statistical modeling and correlation analysis on regional market, inventory, and listing data to uncover key demand drivers that shaped campaign strategies, yielding up to 20K concurrent users within minutes. Reduced data-processing time from 1 minute to 10 seconds per data batch through AWS Lambda-based ETL optimization, cutting lag time, improving user experience, and
Data / Software Engineer at TRUE NORTH DATALAB S
January 1, 2020 - January 1, 2020
Engineered Azure ETL pipelines with Data Factory and Azure Functions to capture and replicate incremental changes from Azure Database for MySQL (OLTP) into ADLS Gen2 (Parquet) and Synapse Analytics for BI, optimizing I/O with batch commits and caching to improve data latency from daily to hourly and reduce storage overhead by 35%. Built SQL and Python-based back-end pipelines to deduplicate and reconcile customer identities across web analytics, CRM, and POS data, applying fuzzy matching, hashed identifiers, cookie tracking, and timestamp correlation to link online note sessions with in-store purchases through a unified mapping table, ensuring consistent front-end identity recognition and improving campaign attribution accuracy and customer journey visibility by over 65%. Administered and optimized Azure Database for MySQL to support high-volume ETL operations, implementing indexing strategies, query optimization, and partitioning to improve extraction performance; enforced RBAC, encry

Education

Master of Science in Computer Science - Machine Learning / AI specialization at Georgia Institute of Technology
January 11, 2030 - November 5, 2025
Master of Science in Analytics - Data Science at Western Governors University
January 1, 2025 - November 5, 2025
Bachelor of Science in Cloud Computing at Western Governors University
October 1, 2025 - November 5, 2025
Bachelor of Science in Computer Science at Western Governors University
July 1, 2024 - November 5, 2025
Machine Learning Technician Certification Program at Alberta Machine Intelligence Institute (Amii)
December 1, 2021 - November 5, 2025
Data Science & Machine Learning Program at Adaleg IT
January 1, 2021 - November 5, 2025

Qualifications

AWS Certified Machine Learning - Specialty
January 11, 2030 - November 5, 2025
AWS Certified - Machine Learning Engineer - Associate
January 11, 2030 - November 5, 2025
AWS Certified - Data Engineer - Associate
January 11, 2030 - November 5, 2025
AWS Certified Solutions Architect - Associate
January 11, 2030 - November 5, 2025
AWS Certified Developer - Associate
January 11, 2030 - November 5, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - November 5, 2025
Microsoft Certified: DevOps Engineer Expert (AZ-400)
January 11, 2030 - November 5, 2025
Microsoft Certified: Fabric Data Engineer Associate (DP-700)
January 11, 2030 - November 5, 2025
Microsoft Certified: Azure Developer Associate (AZ-204)
January 11, 2030 - November 5, 2025
Microsoft Certified: Azure AI Fundamentals (AI-900)
January 11, 2030 - November 5, 2025
Microsoft Certified: Azure Fundamentals (AZ-900)
January 11, 2030 - November 5, 2025
CompTIA Cloud+
January 11, 2030 - November 5, 2025
CompTIA Security+
January 11, 2030 - November 5, 2025
CompTIA Network+
January 11, 2030 - November 5, 2025
CompTIA Project+
January 11, 2030 - November 5, 2025
CompTIA A+
January 11, 2030 - November 5, 2025
CSCP Secure Cloud Professional
January 11, 2030 - November 5, 2025
CCAP Cloud Admin Professional
January 11, 2030 - November 5, 2025
CSIS Secure Infrastructure Specialist
January 11, 2030 - November 5, 2025
CIOS IT Operations Specialist
January 11, 2030 - November 5, 2025
Data Science Professional Specialization (WGU Micro-credential)
January 11, 2030 - November 5, 2025
Data Operations Professional (WGU Micro-credential)
January 11, 2030 - November 5, 2025
Data Analytics Professional (WGU Micro-credential)
January 11, 2030 - November 5, 2025
Azure Cloud Security (WGU Micro-credential)
January 11, 2030 - November 5, 2025
Azure Cloud DevOps (WGU Micro-credential)
January 11, 2030 - November 5, 2025
Linux Essentials Certification
January 11, 2030 - November 5, 2025
ITIL Foundation Certification
January 11, 2030 - November 5, 2025

Industry Experience

Software & Internet, Financial Services, Education, Professional Services, Media & Entertainment