Dara Odukoya portrait
Currently an Extern @BeReal.

Aspiring Tech Innovator

I'm a Rice University sophomore focused on Computer Science and Economics, eager to enhance my skills and competitiveness in tech.

Works

Explore my projects, where I apply my skills in Python, SQL, and more to solve real-world problems and innovate in tech.

  • Stock Market Model
    Stock Market Model

    · Feb 2026

    Stock Market Model

    Implemented an nth-order Markov chain model in Python to predict daily stock price movements for GOOG, FSLR, and DJIA, achieving the lowest MSE of 0.80 on DJIA across 500 trials using two years of historical data Designed a modular prediction pipeline with separate modeling, weighted random choice,

  • QR Code Error Correction Engine
    QR Code Error Correction Engine

    · Mar 2026

    QR Code Error Correction Engine

    Implemented Reed-Solomon error correction for QR codes in Python using GF(256) finite field arithmetic, building an immutable Polynomial class with addition, subtraction, multiplication, and polynomial long division operations to generate error correction bytes from encoded message data

    PythonGF(256)

About me

I'm a Rice University sophomore focused on Computer Science and Economics, eager to enhance my skills and competitiveness in tech.

I am Dara Odukoya, a sophomore at Rice University pursuing a Bachelor's in Computer Science and Economics. I have a passion for technology and data analysis, and I am eager to strengthen my skills and gain experience in the industry.

Externships

BeReal Product Management Externship

BeReal.

Experience

Instructor & Canvas Lead

Rice Center for Engineering Leadership(RCEL) · June 2026 - July 2026

Technology Job Simulation Participant

Deloitte (via Forage) · Jun 2026

Education

Rice University

B.A. Computer Science, Economics · Class of 2029

Skills

PythonCHTML/CSSSQLRMicrosoft SuiteCanvas LMSGithubGitVS Code
Back to works

Stock Market Model

Implemented an nth-order Markov chain model in Python to predict daily stock price movements for GOOG, FSLR, and DJIA, achieving the lowest MSE of 0.80 on DJIA across 500 trials using two years of historical data Designed a modular prediction pipeline with separate modeling, weighted random choice,

Stock Market Model

Overview

Implemented an nth-order Markov chain model in Python to predict daily stock price movements for GOOG, FSLR, and DJIA, achieving the lowest MSE of 0.80 on DJIA across 500 trials using two years of historical data Designed a modular prediction pipeline with separate modeling, weighted random choice,

View all works
Back to works

QR Code Error Correction Engine

Implemented Reed-Solomon error correction for QR codes in Python using GF(256) finite field arithmetic, building an immutable Polynomial class with addition, subtraction, multiplication, and polynomial long division operations to generate error correction bytes from encoded message data

PythonGF(256)
QR Code Error Correction Engine

Overview

Implemented Reed-Solomon error correction for QR codes in Python using GF(256) finite field arithmetic, building an immutable Polynomial class with addition, subtraction, multiplication, and polynomial long division operations to generate error correction bytes from encoded message data

View all works
Back to works

BeReal Product Management Externship

Discover how product teams at social apps like BeReal design for authenticity while driving user growth. In this externship, you’ll explore what keeps users coming back— benchmarking competitors, analyzing engagement features, and designing your own growth-driven app feature. You’ll learn how to balance product innovation with BeReal’s unique mission of real, unfiltered connection. Perfect for those interested in product management, UX strategy, or social media innovation, this experience gives you a hands-on look at how product teams grow platforms without losing their core values.

OtherDesignUI/UXProduct Management

Overview

During my externship with BeReal, I examined how product teams in social apps foster authenticity while pursuing user growth. I benchmarked competitors, analyzed engagement features, and designed innovative app features that align with BeReal's mission of promoting genuine connections. This experience enriched my understanding of product management within the social media landscape.

What I'm doing

In this project, I engaged with various tasks that deepened my insights into product management strategies. Below are the key accomplishments from my work during the externship.

1

Pick Your Go-To Social Media App

I selected my preferred social media app, evaluating its features and user engagement strategies. This analysis provided insights into how different platforms cultivate user loyalty and what elements contribute most to their success.

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