May Cooper

An analytics,

data &
ML Scientist

An avid researcher,
skilled and innovative problem-solver,
natural people-person, collaborative and adaptable,
dedicated to delivering meaningful data-driven results and software solutions.

About Me

Projects

Languages & Skills

Feel free to explore the panels or type a keyword to quickly confirm if what you’re looking for is part of my skill set

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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 Analytics – Data Science – (In Progress)

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.

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.

Contact Me

Linkedin

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Github

Twitter

Projects & Professional Work

Machine Learning & Data Science

Data Structures & Algorithms, Statistics, Computer Vision, Natural Language Processing, Neural Networks, Reinforcement Learning

Python Product Price Prediction

The “Used Cars” project is a data science project by May Cooper that uses machine learning techniques to predict the sale price of used cars in India

PyTorch Deep Reinforcement Learning Framework

Utilizing DDPG in PyTorch for autonomous moon landings with OpenAI Gym to develop advanced reinforcement learning strategies for environment simulation

Green Energy Inverter ML Prediction

The project aims to use AI to improve the prediction of weather and equipment failure in order to optimize power generation from solar panels.

Facial Recognition App with OpenCV

A facial recognition deep dive into greyscale, image processing with OpenCV, Eigen images & theory. Using Python, SVMs, Flask, HTML, CSS, HTTP Methods, pipeline model, Heroku & more.

Stock Market Sentiment Analysis Using GloVe

Analyzes and classifies stock market sentiments using TensorFlow, NLP, and GloVe embeddings, a statistical framework for mapping word relationships.

Python NN Logistics Planner

A Python-based logistics planner utilizing the NN algorithm and dynamic hash tables to optimize delivery routes in real-time.

Decision Trees and Random Forests

This project is an implementation of both Decision Trees and Random Forests supervised machine learning algorithms for both classification and regression tasks.

Data Cleaning, Alignment & Engineering

A data preprocessing pipeline that includes cleaning, alignment and feature engineering techniques to improve the performance of machine learning models.

Implementing Decisions Trees

Demonstrating the implementation of a decision tree algorithm, a type of supervised machine learning algorithm that is used for both classification & regression tasks.

Coding Gradient Descent for LSR

Demonstration of gradient descent, an optimization algorithm used to minimize the cost function of a linear regression model.

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

Groovify Music App

The music playing app that brings you songs you love by May Cooper, created from scratch using Javascript, Python, MySQL, PHP, JQuery, Ajax, Apache, and more.

Dockerized ETL Pipeline for YouTube Sentiment Analysis

A scalable ETL pipeline for real-time YouTube comment sentiment analysis using Apache Kafka, Spark, Python NLP, MongoDB, and Tableau, orchestrated with Airflow and containerized via Docker.

Big Data Retail Pipeline with AWS EMR (Hadoop)

A scalable ETL pipeline on AWS EMR (Hadoop cluster) to extract, transform, and load retail data into a Hive data warehouse for business analysis using Tableau.

Java Springboot Multi-threading Scheduling Application

A Java Spring app with Angular front end for hotel scheduling. Features multilingual support, currency display, and time zone conversion.

Spring-MySQL Travel Agency Back-End

Migrating a legacy travel agency back end to Spring Boot with MySQL. Enhanced functionality, OOP design, and RESTful APIs.

Ai Chatbot with ChatGPT APIs

Ai chatbot with dynamic labels and speech functionalities that use the ChatGPT APIs. Built using Javascript, NodeJS, NPM Packages, HTML, CSS.

PyContacts with SQLite DB & APIs

A Python-based Contacts Manager with SQLite database integration, GUI using Tkinter, and API capabilities. adding, deleting and modifying contacts.

Java-Spring Inventory Management Application

A Java-based project with a customized HTML front-end and a Java back-end using the Spring Framework, designed to meet specific customer needs.

Apache PySpark Stock Analysis

Conducting statistical analysis on stock data with PySpark, SQL, Jupyter Notebook & Google Colab, enabling efficient data processing, interactive code execution & insightful data exploration.

E-Commerce PostgreSQL Project

Efficient & scalable database applications with PostgreSQL covering optimized SQL queries, partitioning techniques, error handling & resiliency design patterns.

Walmart Snowflake Project

Creating a high-performance Walmart Commerce db on AWS using Snowflake, SnowSQL CLI, Apache Arrow, and Python. Ingesting Parquet & JSON data, and more

SQL Car Dealership E-Commerce Project

Comprehensive db solution for managing car sales data. Focuses on tracking monthly performance, employee management & more.

Data Visualization

PowerBi, Tableau, Microsoft SQL Server

UK Bank Customer Base Analysis

An examination of the UK bank’s customer base, studying their demographics, job classification, regional distribution, and account balance.

Amazon Bestselling Books

The project aims to analyze the sales trends of books on Amazon and identify the top-selling books over the years.

Global Terrorism Analysis

The project aims to analyze the sales trends of books on Amazon and identify the top-selling books over the years.

Financial Performance Analysis

A Tableau dashboard to uncover key insights on sales performance, expense management, and profitability trends across different products and client types of a global beverage company.

Regional Sales & Employee Ratings

This project is a tableau analysis of customer behavior, preferences and profit margins in each location to help drive data-driven decisions.

Customer Analysis Tableau Project

A Tableau analysis of sales performance and employee ratings, helping the company make informed decisions to improve its bottom line.

Udemy Course Analysis

A comprehensive analysis that uses Tableau software to compare and evaluate online courses offered using key parameters

PowerBi Report: Food Sales

An in-depth analysis of pizza sales performance. The project dissects metrics like total orders, average pizzas per order, top pizza types, and daily demand trends.

PowerBi Report: Telco Churn

An in-depth analysis of customer churn, identifying key churn drivers, predicting at-risk customers & offering actionable insights to improve retention strategies.

PowerBi Report: Stocks

An examination of the stock performance for key tech and retail giants: Amazon, Apple, Microsoft, Netflix, Google, Home Depot, and Shopify.

PowerBi Report: Youtube Views Across Countries

A breakdown of YouTube views across India, the US, and the UK. It explores viewing patterns, content preferences, engagement metrics & more

Warehouse Inventory Report | SSRS

A Microsoft SQL Server report of warehouse inventory, temperature tracking, incident reports, key performance indicators, database health, and operational metrics.

Business Data Analysis Reports

Canadian Lithium Mining Company

A lithium resource and technology firm, focusing on empowering the rising electric revolution, leverages this mature infrastructure to expedite its growth.

International Lithium Mining Company

What countries are strongest for their market, what strategies can they use for strengthening their market share, lithium setbacks, etc

Public Diamond Sector and Company Report

Research for a public diamond exploration and mining company, the international market in Africa and in North America, ways to raise more capital, etc

Commercial Surveillance Camera Market Research

The research will analyze the global market dynamics, key players, growth trends, consumer demand, and competitive landscape.

Pharma Sector Report

About the repurposing of drugs, the viability, and the trends that are hapenning in the market that can be capitalized on

Carbon Credits Company Report

Carbon offsetting is a way for individuals and organizations to reduce their greenhouse gas emissions by supporting projects that remove or reduce carbon dioxide from the atmosphere.

Public Solar Panels Company Report

Giving a wholesome picture about the solar panel industry, ways to break in as a larger player, risks and opportunities

Investor Relations Company Report

Research on sector, organic traffic, why site traffic is low, how they can re-engage existing customers, and gain new ones

Public Drone Company with Gov.

Giving them keys to understand what risks and opportunities they had with current trends, what things they can improve on, how they were performing

Gold Mining Sector

Seeing how much press releases and other forms of media in the gold mining sector impacts their reach, market share, and more

Asset Management Sector

Understanding the international and national opportunities for this company, their ability to amp up profits, go public, risks and more

LNG And Green Energy Sector

Researching what social channels are best for management and company to use, what opportunities for growth are there, trends, keywords, and competitors

Mineral Exploration Company Report

Researching the gold, silver, copper, and other minerals market, understanding how to connect the company messaging with a stronger data-driven business intelligence