Anthony Uyende

Data Scientist and Full Stack Engineer with a robust background in mathematics and computer science

Montreal, Canada, EST

LinkedInX
AU

About

Data Scientist and Full Stack Engineer with a background in math and computer science, focused on using data and technology to create user-friendly, effective solutions. I build applications that make businesses run smoother and always aim to keep learning and uphold ethical standards in my work.

Work Experience

Coalesc
Remote

November 2024 - Present

Founder

Building AI agents that assist financial teams with their operations.

Boundary AI
Hybrid

August 2024 - November 2024

Founding Team Member

Contributing to the development of AI-driven feedback analysis solutions for businesses, and actively working towards helping the team reach product-market fit. Spearheading the implementation of the 'Survey Series' feature, enabling users to track the evolution of survey responses over time. Collaborating with cross-functional teams to enhance product functionality and user experience. Skills: Python, NLP, Machine Learning, Product Development, Product-Market Fit, Cross-Functional Collaboration

Unity
Hybrid

June 2023 - August 2023

Data Engineer Intern

Focused on Data Governance by implementing data management best practices to ensure data quality and integrity. Led a Net Expansion Rate (NER) project using data analysis to predict revenue trends. Conducted data analytics to uncover operational insights, enhancing processes with visualization tools. Skills: Data Governance, Python, SQL, Data Analysis

Wealthsimple
Remote

January 2023 - April 2023

Data Science Intern

Developed and modernized data pipelines to improve data quality and processing efficiency. Collaborated with various teams to define data needs, providing actionable insights. Optimized data workflow performance by integrating DBT with Airflow. Skills: Python, DBT, Airflow, Data Analysis, Cross-Functional Collaboration

Shopify
Remote

January 2022 - August 2022

Data Science Intern

Conducted cohort analysis using Shopify's data to assist product managers with insights. Analyzed extensive data sets to enable detailed merchant performance reports. Contributed to product improvement by enhancing data narratives and model development for the Shopify Notebook launch. Skills: SQL, Pandas, Mode Analytics, Data Mining, Data Storytelling

Trans-Canada Capital (Air Canada)
Hybrid

June 2021 - September 2021

Data Engineer Intern

Engaged in Time-Series Analysis by analyzing financial data with advanced data mining techniques to inform investment strategies. Maintained and enhanced a Flask-based web application for reliable market data delivery. Implemented process automation by developing and deploying Python scripts, increasing operational efficiency and accuracy. Skills: Python, SQL, Flask, Time-Series Analysis, Data Mining, Azure Cloud Services, Process Automation

Education

University of Montreal

Present - 2024
Bachelor's Degree in Mathematics and Computer Science, Data Science

Skills

Python
SQL
Data Analysis
Machine Learning
JavaScript
React/Next.js
Node.js
Java
Data Visualization (e.g., D3.js)
NLP
Product Development
Product-Market Fit
Cross-Functional Collaboration

Projects

Credit Risk ML System with Production Monitoring

Developed a complete credit scoring system using Home Credit dataset (307K entries). Implemented advanced feature engineering for risk assessment, created DBT pipelines for data transformation, and designed Looker dashboards for real-time monitoring. Skills: Python, DBT, Looker, Feature Engineering, Risk Analytics, Model Monitoring, XGBoost, SHAP Values, Business Intelligence
Data Science
Python
DBT
Looker
XGBoost
SHAP
PostgreSQL
Risk Analytics
Production Monitoring

LumiChat - An Interactive Chat Application

Developed an AI-driven chat application integrating React with FastAPI and OpenAI's GPT model. Streamlined authentication using JWT and employed D3.js for data visualization. Skills: React, FastAPI, OpenAI GPT, PostgreSQL, WebSockets, JWT, D3.js, Agile Methodologies, Cross-Functional Collaboration
Side Project
React
FastAPI
OpenAI GPT
PostgreSQL
WebSockets
JWT
D3.js
Agile Methodologies

Classification of Hand Signs (ASL)

Curated a dataset of over 34,000 images of American Sign Language hand signs, ensuring diversity and comprehensiveness. Developed a preprocessing pipeline to clean and standardize data, enhancing model training efficacy. Trained and evaluated machine learning models, including convolutional neural networks and random forests, for accurate classification of hand signs. Skills: Machine Learning, Python, Data Preprocessing, Convolutional Neural Networks, Random Forests, Model Evaluation
Machine Learning
Python
Data Preprocessing
Convolutional Neural Networks
Random Forests

Merchant Analytical Journey: Adoption and Retention Analysis

Conducted comprehensive cohort analyses to understand merchant adoption and retention rates for the Live View feature. Key findings include a 72.1% adoption rate within the first month post-sale, with a retention plateau of about 20% after four months. Posed critical follow-up questions regarding alternative tools that may offer more value to merchants, suggesting areas for further strategic improvement.
Python
SQL
Pandas
Data Analysis
Cohort Analysis
Visualization