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Adesh Bohara

Machine Learning | Data Science

About Me

Currently pursuing a Bachelor’s of Science in Information Technology(BSIT), specializing Data Science. I have technical foundation in Python, C and C++, along with python libraries such as NumPy and pandas for complex data manipulation, Matplotlib for visualization and Scikit-learn to develop machine learning models. I bridge the gap between data science and functional application by combining database management (SQL) and foundational web development skills. A key highlight of my project is a Premier League match score prediction on Streamlit and Road Accident Data Analysis on Render which showcases my ability to deploy data-integrated solutions. Backed by a 110-hour certification in Data Science and Machine Learning, I am committed to creating efficient, analytical tools that solve real-world problems.

Technical Stack

Programming Languages: Python C/C++ JavaScript
Machine Learning Libraries: Scikit Learn XGBoost
Data Handling Libraries: Numpy Pandas Matplotlib Seaborn PlotlyDash
Python Frameworks: Flask FastAPI
Database: MySQL PostgreSQL MongoDB
Version Control: Git and Github
Cloud Deployment: AWS ( EC2, Sagemaker, S3, Lambda)
Containerization: Docker

Featured Projects

Prithvi Highway Accident Analysis

Built a large-scale analytics system to predict road accident severity in Nepal.

  • Trained XGBoost models on 152,445 records (~85% accuracy).
  • Engineered geospatial mapping for segments like Nagdhunga to Mugling.
  • Deployed via FastAPI and Docker on Render.

Premier League Score Predictor

End-to-end ML system for match score forecasting.

  • Optimized XGBoost regression models.
  • Interactive Streamlit dashboard for real-time predictions.

Community Connect Platform

Full-stack Flask application for volunteer management.

  • Role-based access with Google OAuth 2.0.
  • PostgreSQL with SQLAlchemy ORM.

Education

King’s College, Kathmandu
BSIT (Data Science)
2023 - 2027
Capital College & Research Centre
+2 Science (Bio)
2022