Emilio Montelongo Luna

Data Science & Computer Science Student

University of Saskatchewan

Transforming data into meaningful insights through analytics and visualization

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About Me

I’m a dedicated Data Science and Computer Science student at the University of Saskatchewan, passionate about leveraging data to solve complex problems and drive informed decision-making.

My expertise spans data analysis, statistical modeling, and data visualization, with hands-on experience in Python, database management, and business intelligence tools. I’m particularly interested in exploring patterns in large datasets and creating compelling visual narratives from complex information.

Currently seeking internship opportunities and collaborative projects where I can apply my analytical skills, continue to learn from industry professionals, and contribute to meaningful data-driven solutions.

Technical Skills

Python Python
Java Java
PostgreSQL PostgreSQL
Git Git
VS Code VS Code
Docker Docker
AWS AWS
PyTorch PyTorch
MongoDB MongoDB
Excel Excel
Power BI Power BI
Tableau Tableau
C C
Linux Linux

Featured Projects

GlobalRetail Data Engineering

End-to-End Data Engineering – GlobalRetail

Databricks Delta Lake AWS Power BI

Case study: Built a scalable data lakehouse pipeline using Databricks and Delta Lake on AWS for a simulated multinational retailer. Automated ETL, ensured data quality, and delivered analytics dashboards with Power BI.

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PopIn Event Networking AI

PopIn Event Networking AI

Python AI Machine Learning

AI-powered event networking recommendation engine utilizing NLP techniques to connect like-minded attendees at large events.

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Food Marketing Analytics

Food Marketing Analytics

Python Data Analysis

Data-driven case study examining marketing challenges in the food industry using advanced analytics and visualization in Python.

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Traffic Analysis with PyTorch

Traffic Analysis with PyTorch

PyTorch Deep Learning

Developed a deep learning model to analyze and predict traffic patterns using real-world datasets and PyTorch.

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Fuel Economy Linear Regression

Fuel Economy Linear Regression

Python Regression

Built a machine learning model to predict vehicle fuel efficiency based on technical specifications using regression techniques.

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Covid 19 Data exploration in SQL

Covid 19 Data Exploration in SQL

Python SQL

Exploratory data analysis of COVID-19 trends and patterns using SQL and Python.

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Tableau Dashboard for visualizing COVID 19 data.

Tableau COVID-19 Dashboard

Tableau

Interactive dashboard visualizing COVID-19 data for actionable insights.

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Movie Correlation Study

Movie Correlation Study

Python Statistics

Statistical analysis of movie ratings and box office performance correlation.

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Coffee Sales Dashboard

Coffee Sales Dashboard

Excel Visualization

Business performance tracking and sales analytics with KPI monitoring.

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Data Cleaning in SQL

Data Cleaning in SQL

SQL Data Cleaning

Transformed raw housing data in SQL Server for analytics readiness.

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Credit Card Fraud Detection

Credit Card Fraud Detection

Python Machine Learning

Built and evaluated ML models for fraud detection on imbalanced data.

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Ecommerce Analysis Dashboard

Ecommerce Analysis Dashboard

Tableau

Analyzed sales, shipping, and fulfillment data for a pet retailer with Tableau.

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Let's Connect

I'm always interested in discussing new opportunities, collaborations, or just connecting with fellow data enthusiasts.

✉ emiliomonteluna@gmail.com 💻 GitHub 💼 LinkedIn