Now Building:
Personal Trading Bot

Oluwanifemi Fabunmi

Double major in Computer Science & Finance at Clarkson University. I blend analytical power with creative tech, crafting AI-driven fintech solutions that feel as good as they perform.

View My Work Download Resume

Skills & Technologies

My technical toolkit and areas of expertise

Programming Languages

Python 90%
Data Analysis, Machine Learning (ML), Algorithmic Trading
C++ 85%
Systems Programming, Modular Design, File I/O
C 80%
Debugging, Reverse Engineering, Optimization
Java 75%
Forage Midas project, Object-oriented design
SQL 70%
Data querying, joins, basic DB management

Data Science & Finance

Data Analysis 88%
Pandas, Matplotlib, Seaborn
Machine Learning 82%
scikit-learn, Reinforcement Learning basics
Algorithmic Trading 85%
Quantitative Finance, Trading Strategies
Data Visualization 90%
Tableau, Excel, Interactive Dashboards
Applied Linear Algebra 75%
Matrix operations, eigenvectors, and vector spaces for ML & quantitative finance

Web Development

Frontend Development 85%
HTML, CSS, Responsive Design
JavaScript 70%
Interactive front-end, React projects, basic DOM manipulation
Streamlit 80%
Interactive dashboards & trading apps

Currently Learning

Reinforcement Learning 65%
C++ Memory Management 60%
Advanced SQL 70%
UI/UX Design 45%
Haskell 50%
TypeScript & React Advanced Patterns 55%
AI Workflow Automation 65%
Applied Linear Algebra 50%

About Me

Building the future where tech meets heart

Nifemi coding
Nifemi smiling

Hey there! I'm Nifemi, a curious builder blending the analytical rigor of finance with the creative potential of technology to craft intelligent, intuitive systems.

When I'm not diving deep into algorithmic trading models or fine-tuning fraud detection systems, you'll find me immersed in K-dramas, sketching UI concepts, or daydreaming about adopting a fluffy ragdoll cat named Satoshi.

I believe data isn't just numbers, it's stories waiting to be told. I'm here to translate those stories into tools that feel human and empowering, one line of code at a time.

Visit GitHub →

Featured Projects

A collection of my favorite builds and experiments

40% faster decisions

Algorithmic Trading App

Built a Python and Streamlit-based trading platform enabling real-time simulations, backtesting, and dynamic indicators powered by live financial data APIs.

Python Streamlit Pandas REST APIs Machine Learning (ML)
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98% anomaly detection

Fraud Detection Model

Trained a machine learning model to flag transaction anomalies with high precision, balancing false positives while protecting users.

Python scikit-learn Machine Learning Data Analysis
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30% faster response

GRIND Engine

A C++ prototype web browser with modular navigation and text formatting. Reduced response lag by 30% through optimized architecture.

C++ Systems Programming File I/O Optimization
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10+ years analyzed

Stock Market Dashboard

Interactive dashboards analyzing 10+ years of financial data, delivering clear insights through compelling visual storytelling.

Tableau Excel Data Visualization Financial Analysis
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78.6% accuracy boost

Inventory Tracking System

Designed using C++ structs, vectors, and file I/O to optimize inventory updates with enhanced accuracy and faster processing.

C++ Data Structures File I/O Algorithm Optimization
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100% success rate

Bomb Defusal Lab

Disassembled and debugged binary phases using C. Achieved 100% accuracy and reduced disassembly time through optimized logic.

C Debugging Reverse Engineering Optimization
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Current Mood

Click to see what I'm vibing with today ✨

Let's Connect

Ready to build something meaningful together?

Whether you're looking for a creative collaborator, hiring for an internship, or just want to chat about K-dramas and code.

📧 Email Me 🔗 LinkedIn