CS + Math · University of Victoria

Hi, I'm Efe Akpikie

Probability & inference ML & pipelines Systems & C/C++ Markets & optimization

Building rigorous models and dependable software at the intersection of mathematics, data science, and quantitative thinking.

View Projects

01 About

I'm Efe, a 2nd year student at UVIC studying computer Science and Mathematics student with a passion for learning theoretical and abstract topics. My coursework and projects have given me a strong foundation in statistical inference and software engineering.

I enjoy working on problems that combine mathematical rigor with practical applications, whether that's building predictive models, analyzing datasets, or creating tools that help people make better decisions.

Currently looking for

  • Data Science/Analysis internships for Summer 2026
  • Software Engineering internships related to C/C++, Python or Java for Summer 2026
  • Quantitative Finance related internships for Summer 2026

Education

BSc, Computer Science and Mathematics (Combined Major)

Minor in Data Science

University of Victoria

September 2024 - June 2028

02 Skills

Languages

Python SQL R JavaScript/HTML/CSS Java C/C++

Data & ML

Pandas NumPy Scikit-learn TidyVerse Jupyter lab Matplotlib SciPy

Tools

Git Docker PostgreSQL Linux MongoDB Google Analytics Google Cloud Platform

Other Skills

  • Data Analysis: EDA, Regression, data visualisation, hypothesis testing
  • Software Engineering: Writing clean & modular code, version control, testing, documentation

03 Selected Projects

AI investment Assistant(Ongoing)

An AI-driven platform for real-time stock analysis, portfolio tracking, and personalized investment insights, combining live market data with a stock grading system and interactive visualizations.

  • Real-time market data with interactive charts and multi-timeframe technical analysis
  • AI advisor for risk assessment, portfolio optimization, and actionable insights
  • Portfolio tracking and performance metrics
Next.js FastAPI PostgreSQL(integration ongoing) Google Cloud(Integration ongoing)
GitHub Screenshot

Final Grade Prediction Using Regression

Exploratory data analysis and Regression on student grade dataset

  • Built Linear Regression model to predict final grades (G3) using student performance dataset from Kaggle
  • Identified G2 (second period grade) as strongest predictor with 0.95 correlation coefficient
  • Found school support (0.75) and family relationships (0.28) positively correlate with performance, while extracurricular activities (-0.58) and romantic relationships (-0.40) show negative correlations
Python Scikit-learn Jupyter
GitHub Notebook

Portfolio Optimization Dashboard

Streamlit dashboard for Markowitz Mean-Variance portfolio optimization with up to 20 stocks.

  • Multiple optimization objectives: Max Sharpe, Min Volatility, Target Return, Max Sortino
  • Efficient frontier visualization with correlation heatmaps and portfolio analytics
  • Interactive Plotly charts with robust error handling and data validation
Streamlit Python Pandas NumPy SciPy Plotly yfinance
GitHub Live Demo

Explore more projects on GitHub

04 Experience

Data Analyst Intern

July 2025 - August 2025

LOCVM

  • Designed and implemented an automated ETL pipeline for LOCVM: extracted locum placement and page engagement data from Google Analytics/Search Console, standardized it with R, and stored results in a custom MongoDB database.
  • Built an interactive dashboard in R using the Shiny library that extracts data from the database and analyzes various KPI’s relating to page engagement and locum placement trends.
  • Containerized the dashboard and ETL pipeline with Docker, maintained in GitHub, and deployed to GCP Cloud Run with automated updates; ETL scheduling handled via a GCP virtual machine.

Software Engineer

Sept 2025 - Present

UVic Robotics Club

  • Developer for the rover perception system for the Canadian International Rover Competition(CIRC).
  • Currently developing a ROS-based ArUco marker detection system using OpenCV to perform real-time marker tracking from ZED2i camera video streams, enabling 3D position and orientation estimation.

Other: UVIC Quant Club

05 Relevant Coursework

Computer Science

  • CSC225: Data Structures & Algorithms
  • SENG265: Software Development Methods
  • CSC230: Computer Architecture

Mathematics

  • Math211: Matrix Algebra
  • Math200: Multivariable Calculus
  • Math122 & Math222: Discrete Mathematics

Statistics

  • Stat260: Introduction to probability and Statistics I
  • Stat123: Data Science