Hi, I'm Suraj Sah Kanu.

Data Science and AI Enthusiast

A self-motivated and passionate programmer, thrives on tackling intricate real-world challenges contributing to impactful projects.

About Me

👋 I'm an aspiring Machine Learning Engineer with a strong academic background in Computer Applications and a passion for building intelligent systems that solve real-world problems.

🔍 Over the past year, I've worked on a range of self-driven projects involving machine learning, NLP, data analytics, and web app development, blending my technical skills with creativity and business insight.

💻 I specialize in Python and tools like Scikit-learn, Pandas, MySQL, and MLflow, and I enjoy designing end-to-end solutions — from data preprocessing and model training to deployment via Streamlit and clear, actionable visualizations.

🎯 My projects often focus on practical applications in healthcare, finance, and process optimization.

🔄 Beyond coding, I'm highly organized, communicate clearly, and take pride in creating well-documented, efficient workflows. I'm driven by curiosity, continuous learning, and the impact AI can make when applied thoughtfully.

✨ Let's build something smart, scalable, and impactful!

About My Journey

I started my tech journey with a passion for problem-solving and data-driven solutions. Through self-learning and hands-on projects, I've developed expertise in:

  • Building end-to-end machine learning applications
  • Creating interactive data visualizations
  • Developing scalable web applications
  • Implementing AI solutions for real-world challenges
Professional Interests

My passion lies in applying machine learning and data science techniques to solve real-world problems. I'm particularly interested in:

  • Predictive modeling and classification systems
  • Data visualization and analysis
  • Web application development
  • AI-driven solutions for everyday challenges

Projects

Breast Cancer Detection System

Brain Tumor Detection System

Developed a CNN model for predicting the 4 types of Brain Tumour using TensorFlow & Keras.

Python CNN Deep Learning TensorFlow Keras Streamlit Docker NumPy Matplotlib Plotly Pillow
Breast Cancer Detection System

Breast Cancer Detection System

Developed a machine learning classification model for a Breast Cancer Prediction System using the Breast Cancer dataset.

Python Streamlit Supervised Learning Classification Pandas NumPy Matplotlib Seaborn Plotly
Blood Bank & Donor Management System

Blood Bank & Donor Management System

Developed a Django-based online web application where users can create profiles, join a community, and request blood.

Django Bootstrap MySQL Python Docker
Salary Prediction

Salary Prediction

Created a machine learning model to predict employee salaries based on features such as experience, education, and location and employed RandomForestRegressor.

Python Streamlit Docker Pandas Plotly
Iris Flower Classification

Iris Flower Classification

Built a machine learning classification model to identify Iris flower species (Setosa, Versicolor, Virginica) using the famous Iris dataset.

Python Streamlit Pandas NumPy Matplotlib Seaborn Docker

Skills

Programming Languages & Databases
Python Python
C C
C# C#
Java Java
Bash Bash
MySQL MySQL
PostgreSQL PostgreSQL
Frameworks & Libraries
Django Django
Flask Flask
Bootstrap Bootstrap
NumPy NumPy
Pandas Pandas
Matplotlib Matplotlib
Tools & Technologies
Git Git
GitHub GitHub
Docker Docker
C# Kubernetes
Jenkins Jenkins
Jupyter Jupyter
VS Code VS Code
Anaconda Anaconda
PyCharm PyCharm
Data Science & ML
Plotly Plotly
Scikit-learn Scikit-learn
Jupyter Jupyter
Kaggle Kaggle
Streamlit Streamlit
Power-Bi Power-Bi
TensorFlow TensorFlow
Keras Keras
mlflow mlflow

Education

National Infotech College (Affiliated with Tribhuvan University)

Bachelor in Computer Applications (BCA)

2022 - Present

National Infotech College

Currently in 5th Semster
Strong foundation in programming, algorithms and data structures

Publications

Stay tuned for upcoming publications and articles on AI and machine learning topics.

Contact