Hi, I'm Hari Narayan Sah

Data Science Enthusiast

Passionate about transforming data into actionable insights using machine learning and deep learning techniques.

Contact Me My Projects
★ Data Scientist

About Me

Professional Summary

Highly motivated and self-driven data science professional with a strong foundation in Machine Learning, Deep Learning, Python, SQL, and Power BI. Eager to leverage my technical skills and passion for data-driven insights to excel as a top-notch data scientist.

With a keen focus on continuous learning and professional growth, I am committed to delivering innovative solutions that drive business success and contribute to the advancement of the data science field.

Languages

Maithli (Native) Nepali (Fluent) English (Beginner) Hindi (Fluent)

Education

Data Science with Python Certification

Mindrisers Institute of Technology, Kathmandu | 09/2024 - 01/2025

Diploma in Computer Engineering

Adarsha Secondary School, Biratnagar | 2020 - 2024

Diploma in Graphic Designing

New BIIT Institute, Biratnagar | 01/2023 - 04/2023

My Skills

Technical Skills

Python (Numpy, Pandas, Matplotlib) 90%
Machine Learning (Scikit-Learn) 85%
Deep Learning (TensorFlow, Keras) 80%
SQL 75%
C++ 70%

Tools & Platforms

VS Code
Jupyter Notebook
Google Colab
Git & GitHub
Linux
Canva
Office Package
Power BI

Work Experience

Volunteer - Birat Expo 2079

Biratnagar, Nepal | 15/12/2022 - 25/12/2022

  • Maintained computers and other systems during the event
  • Collaborated effectively with team members to ensure smooth operations
  • Assisted coordinators in event management tasks

Certifications & Achievements

  • Data Science with Python Certification – Mindrisers Institute of Technology 2025
  • Diploma in Graphic Designing – New BIIT Institute 2023

My Projects

Real State House Price Predictor

Developed predictive models using Linear Regression to Predict House price.

View on GitHub Machine Learning

Image Classification using CNNs

Built a Convolutional Neural Network in TensorFlow to classify images with over 83% accuracy.

View on GitHub Deep Learning