Available for internships & opportunities

Subash Bayalkoti

Aspiring Data Scientist

BIT Graduate · Tribhuvan University · IT Manager @ Dishome Network

Passionate about transforming data into meaningful insights through analytics, machine learning, and statistical modeling. Currently applying technology leadership at Dishome Network while deepening expertise through the Associate Data Scientist program.

Bharatpur, Nepal
Portrait of Subash Bayalkoti

About

Turning curiosity about data into a career

I'm a Bachelor of Information Technology (BIT) graduate from Tribhuvan University, currently serving as the Information Technology Manager in the Logistics Department at Dishome Network Nepal— a role I've held since March 2025.

Alongside my professional work, I'm deepening my expertise through the Associate Data Scientist program. I enjoy solving real-world problems with data — from cleaning and exploring messy datasets to building models that surface meaningful, actionable insights.

Bachelor of Information Technology (BIT)

Tribhuvan University · Associate Data Scientist Course (ongoing)

Areas of interest

  • Data Science
  • Machine Learning
  • Data Analytics
  • Artificial Intelligence
  • Data Visualization

Experience

Professional experience

Real-world roles where I've applied technology to solve operational challenges.

Information Technology Manager

Dishome Network Nepal

Logistics Department

CurrentMarch 2025 – PresentNepalFull-time

Key Responsibilities

  • Managing and overseeing all IT infrastructure and systems within the Logistics Department
  • Coordinating technology solutions to streamline logistics operations and supply chain processes
  • Implementing and maintaining network systems, servers, and communication tools
  • Leading IT support, troubleshooting, and system upgrades for departmental operations
  • Collaborating cross-functionally with teams to integrate data-driven IT solutions
  • Ensuring data security, compliance, and smooth digital workflows across logistics operations

Skills

A toolkit for the full data workflow

From wrangling raw data to modeling and communicating results, these are the skills I use and continue to sharpen.

Programming

  • Python
  • SQL
  • R

Data Science

  • Data Cleaning
  • Exploratory Data Analysis
  • Feature Engineering
  • Machine Learning
  • Statistics
  • Predictive Modeling

Data Visualization

  • Power BI
  • Tableau
  • Matplotlib
  • Seaborn
  • Plotly

Libraries

  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • Keras
  • SciPy

Databases

  • MySQL
  • PostgreSQL

Version Control

  • Git
  • GitHub

Tools & Technologies

The stack I build and analyze with

A hands-on set of tools I use across programming, analysis, visualization, and collaboration.

Python
Jupyter Notebook
VS Code
Git
GitHub
Power BI
Tableau
MySQL
PostgreSQL
Google Colab
Excel
Pandas
NumPy
Scikit-learn
TensorFlow
DockerLearning

Learning Journey

A steady path toward data science

Every step builds on the last — from fundamentals to the technologies shaping the future of AI.

  1. BIT Graduate

    Completed a Bachelor of Information Technology at Tribhuvan University, building a strong foundation in computing.

  2. Learning Data Analytics

    Started working with real datasets — cleaning, exploring, and visualizing data to find patterns.

  3. Associate Data Scientist Course

    Currently enrolled, strengthening my skills in statistics, Python, and the end-to-end data science process.

  4. Machine Learning

    Building and evaluating predictive models with Scikit-learn and applying core ML concepts.

  5. Deep Learning

    Exploring neural networks with TensorFlow and Keras to tackle more complex problems.

  6. Future Goal: AI Engineer / Data Scientist

    Working toward a professional role where I can solve meaningful problems with data and AI.

Continuous Learner
Data Science Enthusiast
Open Source Learner
Always Building Skills

Contact

Let's connect

Open to internships, collaborations, and conversations about data science. Feel free to reach out through any channel below.