Let's Talk
About Skills My Work Journey Contact
Open to opportunities

Hi, I'm

Manjila Adhikari.

Aspiring Data Professional

I enjoy turning data into meaningful insights and building intelligent applications using Python, SQL, machine learning and data visualization.

Explore My Work → GitHub ↗
Python SQL Data Analysis Machine Learning Power BI
Manjila Adhikari
BASED IN Nepal 🇳🇵
FOCUS Data + AI
Currently learning Data Engineering
Building with Python + SQL
01

GET TO KNOW ME

A little about me.

I'm Manjila Adhikari, an aspiring data professional with a background in computer applications and a growing passion for data, machine learning and intelligent systems.

I like working with data because there is always something hidden inside it — a pattern, a problem, or a story waiting to be discovered.

I learn best by building practical projects. From analyzing datasets to creating machine learning models and developing web applications, I enjoy turning ideas into something that actually works.

✦

What I'm interested in

📊 Data Analysis
⚙️ Data Engineering
🤖 Machine Learning
📈 Business Intelligence
💻 Intelligent Applications
02

MY TOOLKIT

Tools I use to build.

🐍

Python

Data analysis, machine learning, automation and backend development.

🗄️

SQL & Databases

Querying, managing and working with structured data.

📊

Data Analysis

Pandas, NumPy, data cleaning, EDA and visualization.

🤖

Machine Learning

Scikit-learn, predictive modelling, feature engineering and evaluation.

📈

Power BI & DAX

Interactive dashboards, DAX measures and business intelligence.

🌐

Web Development

HTML, CSS, JavaScript, Flask, Python and Jinja templating.

📓

JupyterLab

Interactive notebooks for data analysis, experiments and ML.

🔗

Git & GitHub

Version control, repositories, collaboration and project management.

ALSO WORKING WITH
PostgreSQL DBeaver Jinja Matplotlib Seaborn NumPy Scikit-learn Flask Streamlit Html/CSS
03

MY JOURNEY

Learning, building & growing.

i.
FOUNDATION

Computer Applications

Building a foundation in programming, databases, software development and computer science.

ii.
DATA

Discovering Data Analysis

Learning Python, Pandas, NumPy, visualization and exploratory data analysis.

iii.
MACHINE LEARNING

Building Predictive Models

Exploring supervised learning, feature engineering and model evaluation through practical projects.

iv.
CURRENTLY

Becoming a Data Professional

Continuing to build projects, strengthen technical skills and explore opportunities in data.

LET'S CONNECT

Let's build something interesting.

I'm always interested in learning, building and connecting with people working on interesting things.