May Cooper

Data Scientist & ML Engineer

Languages & Skills

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Core Programming & Web Technologies

Programming Languages: Python, Java, JavaScript, SQL, PHP, Bash, MATLAB

Front-End Development: HTML/CSS, Bootstrap, Angular, jQuery

Back-End Development: Node.js, Django, Flask, Spring, Spring Boot, WSGI, urllib library

APIs & Integration: JSON, XML, YAML, APIs, REST APIs / RESTful APIs, ChatGPT / OpenAI APIs and integration, OpenAPI, GraphQL

Frameworks & Libraries: Lombok, Spring Data JPA, Spring Rest Repositories

Advanced Data Science & Machine Learning

Core Libraries & Frameworks: TensorFlow, PyTorch, Pandas, NumPy, SciPy, Keras, Seaborn, scikit-learn, Spark MLlib, XGBoost, LightGBM, Hugging Face, OpenCV

Machine Learning Techniques: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, Natural Language Processing (NLP), Clustering, Dimensionality Reduction (PCA, SVD), Time Series Analysis, Anomaly Detection, Computer Vision, Image Processing and Analysis, Facial Recognition, Model Evaluation, Hyperparameter Tuning, Weight Initialization and Optimization Methods (Adam, RMSProp), Diffusion, Hierarchical Linear Models, Ensemble Methods

Algorithms & Models: Support Vector Machines (SVM), SVM loss, Random Forest, K-Nearest Neighbors (KNN), Gaussian Mixture Model, Decision Trees, Boosted Decision Trees, Naive Bayes, Logistic Regression, Linear Regression, Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), Multilayer Perceptron (MLP), k-means Clustering, Latent Dirichlet Allocation (LDA), Word2Vec, TF-IDF, GloVe, DDPG (Deep Deterministic Policy Gradient)

Feature Engineering: Feature Selection, Feature Scaling, Data Wrangling

Database & Data Management

SQL Databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server (SSIS, SSRS, SSMS), TSQL (Transact-SQL)

NoSQL Databases: MongoDB, Apache HBase, Elasticsearch, Amazon DynamoDB

Big Data & Data Engineering: Hadoop, Apache Spark, Apache PySpark, Apache Hive, HiveQL, Hadoop YARN, Hadoop HDFS, Apache Flink, Apache Kafka, Databricks, Apache NiFi, Apache Airflow, Apache Druid, Apache Presto, Apache Arrow, Apache Parquet

Database Tools & Libraries: SQLAlchemy, DBT, SQLElectron, SnowSQL, Snowflake CLI

Data Migration & Cataloging: AWS Glue Data Catalog, AWS Database Migration Service (DMS), Apache Atlas

Data Warehousing: Amazon Redshift, Redshift SQL, Google BigQuery, Snowflake

Marketing & Data Analytics

Business Intelligence Tools: Data Visualization, Power BI, DAX, Tableau, Looker, Domo, Google Analytics G4, Metabase

Marketing & Advertising Platforms: Google Ads, TikTok Ads, Twitter Ads, Meta Ads, HubSpot CRM

SEO & Social Listening Tools: Brandwatch, Semrush, Ahrefs

Content Management & Design: WordPress, Adobe Suite (Premiere Pro, Photoshop, Audition, Illustrator, InDesign)

Cloud & Infrastructure Services

Cloud Platforms & Services: Amazon Web Services (AWS), AWS Rekognition, AWS Lambda, AWS EMR, AWS IAM, AWS Athena, AWS Glue, AWS CloudFront, AWS Route53, AWS EC2, Amazon VPC, Amazon EBS, AWS RDS, AWS Aurora, AWS Kinesis, AWS MSK (Amazon Managed Streaming for Apache Kafka), AWS Sagemaker, Sagemaker Canvas, AWS Glue Studio, AWS EKS (Elastic Kubernetes Service), AWS Kubernetes, AWS CDK, AWS Beanstalk, AWS Microsoft Azure, Azure ML, Azure Functions, Azure Data Lake, Google Cloud Platform (GCP), Google Cloud Functions

Infrastructure Management: Linux, Ubuntu, SSH, Virtual Machines, Hosted Zones, Domains/Subdomains, Elastic Load Balancing (ELB)

DevOps & Version Control: Git, GitLab, GitKraken, CI/CD Pipelines, Puppet

Containerization & Orchestration: Docker, Kubernetes

Monitoring & Logging: Grafana, Prometheus, AWS CloudWatch

Development Tools & Business Applications

Development Tools & IDEs: Visual Studio Code, PyCharm, IntelliJ IDEA, Anaconda, Jupyter Labs, Google Colab, NPM, PuTTY, Postman, Selenium, PyTest

Office & Productivity: Microsoft Office Suite, Google Suite, Advanced Excel

Collaboration & Project Management Tools: Slack, Trello, Jira, Monday.com, Salesforce, Google suite, Notion, Miro, Basecamp

formal Education & Certifications

Master of Science in Computer Science - Machine Learning Specialization (In Progress)
Georgia Institute of Technology
Atlanta, GA
Master of Science in Analytics - Data ScienceLink to Cert & Online Diploma Validation
Western Governors University
Salt Lake City, UT
Bachelor of Science in Computer Science Link to Cert & Online Diploma Validation
Western Governors University
Salt Lake City, UT
Machine Learning Technician Certification Link to Cert
Alberta Machine Intelligence Institute (Amii)
Edmonton, AB
  • - A leading Machine Learning specialization program.
  • - Led a group ML capstone that predicts inverter failures with weather data, optimizing power generation.
Data Science & Machine Learning Immersive Link to Cert
Adaleg IT
Toronto, ON
  • - A comprehensive training program that encompassed Python & SQL programming, data manipulation & visualization, statistical analysis, ML algorithms, and more.
  • - Completed several projects & a capstone focused on ML regression and neural networks.
AWS Certified Machine Learning - Specialty Cert Validation on Credly | Official Certification
AWS Certified Machine Learning Engineer - Associate Cert Validation on Credly | Official Certificate | Early Adopter Cert
AWS Certified Data Engineer - Associate Cert Validation on Credly | Official Certificate
AWS Certified Solutions Architect - Associate Cert Validation on Credly | Official Certificate
AWS Certified Developer - Associate Cert Validation on Credly | Official Certificate
AWS Certified Cloud Practitioner Cert Validation on Credly | Official Certificate
Azure Fundamentals (AZ-900) Certification Cert Validation on Microsoft | Official Certificate
Azure AI Fundamentals (Ai-900) Certification Cert Validation on Credly | Official Certificate
WGU Data Science Professional Cert Validation on Badgr | Official Certificate
WGU Data Operations Certificate Cert Validation on Badgr | Official Certificate
WGU Data Analytics Professional Cert Validation on Badgr | Official Certificate
ITIL – Axelos ITIL Foundation Certification Official Certificate

technical expertise

As a data professional, I utilize data-driven intelligent strategies to improve business operations, marketing initiatives, financial performance, and product development.

01 ds & DA

Data Science & Analysis: As an expert in SQL, Python, and multiple data visualization tools, I’ve led numerous projects where I’ve turned raw data into actionable insights. These insights helped stakeholders make data-driven decisions, leading to improved efficiency and profitability. My advanced analytical skills enable me to predict trends and patterns, thereby providing businesses with a strategic edge in a competitive market.

02  ml & Ai

Machine Learning Model Development: With proficiency in TensorFlow, Scikit-learn, and Pytorch among other libraries, I’ve designed and trained a wide range of machine learning models. These models, focused on industries such as marketing, finance, and product development, demonstrate my ability to utilize machine learning techniques to substantially enhance operational processes.

03 de

Database Engineering & Management: Harnessing my strong foundation in MySQL, PostgreSQL, SQLite, NoSQL, and Snowflake, I’ve engineered and managed robust, large-scale databases. This has streamlined the process of storing, retrieving, and analyzing big data, enhancing data accessibility and manipulation capabilities, hence promoting data-driven business strategies.

04 cloud

Cloud Technologies: I possess extensive experience with AWS, Azure, and GCP. This includes developing cloud-based AI solutions, setting up and managing cloud databases, and leveraging cloud technologies to build scalable data and machine learning applications. I’ve been able to facilitate the scalability of data and machine learning applications, supporting businesses to manage growing data volumes and computational demands with ease.

about me

From an early age, I developed a curiosity for tech and the ability it gave to create new things. My journey with coding began around the age of 14, when I immersed myself in crafting websites & programs. Over time, I built my knowledge base by creating custom solutions for friends, non-profit organizations, businesses, and political candidates.

As a self-motivated autodidact, I’ve always been eager to learn and develop new skills in step with the rapid advancements in data science and technology. When it comes to working as a data professional, I try my best to apply a fusion of human insight, comprehensive research, and AI technologies to perform rigorous data analysis and interpretation. I’m adept at harnessing advanced machine learning algorithms, data engineering workflows, and large-scale data processing tools to distill actionable insights.

With expertise in data science methodologies, pattern recognition, predictive modeling, statistical forecasting, time series analysis, market analysis, competitor benchmarking, and data visualization, I help navigate complex business challenges and drive company growth, success, and strategic vision.

Besides high-tech per se,

I also produced, scripted and hosted a podcast called Changemakers Without Borders that was aired on several radio stations, on the topic of leaders who made a positive difference in our society in history, and interviewing leaders today.

Music is another passion of mine, which led me to play 5 different instruments. Taking my passion to a new level, I pursued a 3-year-long music teacher certificate, and had the opportunity to teach music to over 3000 children across 12 underprivileged schools via an initiative I started at a non-profit. It gave kids the chance to develop valuable, hands-on skills where they didn’t have the chance to otherwise.

My skill set also encompasses technical and operational experience in construction. I have contributed to small-scale construction and renovation projects, including planning and implementing a complete off-grid, green energy system. My experience includes electrical work, operating heavy machinery, welding, framing, and project management.

I hope you’ll enjoy exploring some of the projects I’ve worked on here. If you believe it would be beneficial for us to collaborate, I’d be glad to hear from you.

Projects & Professional Work

Machine Learning & Data Science

Data Structures & Algorithms, Statistics, Computer Vision, Natural Language Processing, Neural Networks, Reinforcement Learning, Statistical Data Mining, MLOps, Optimization

Data/Software Engineering

Python, Java, Javascript, SQL, Node.JS, Spring Boot, Angular, Docker, RESTful APIs, CSS/HTML, PHP, Ajax, JQuery, Apache Spark, AWS, Hadoop, Hive & more

Data Visualization

PowerBi, Tableau, Microsoft SQL Server

Data Analysis Reports

Financial Investment Analysis Reports

Phone Number

(650) 285 0123

Email

maycooper.mc@gmail.com