Hi, I'm
I enjoy turning data into meaningful insights and building intelligent applications using Python, SQL, machine learning and data visualization.
GET TO KNOW 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.
MY TOOLKIT
Data analysis, machine learning and backend development.
Databases, queries and structured data.
Pandas, NumPy, visualization and exploratory analysis.
Scikit-learn, predictive modelling and model evaluation.
Interactive dashboards, DAX and visualization.
Backend development, APIs and web applications.
Data manipulation and numerical computing.
Version control and project collaboration.
MY WORK
A collection of projects I've built while exploring data analysis, machine learning, artificial intelligence and web development.
A web-based recruitment platform that uses NLP and machine learning to analyze resumes and rank candidates against job requirements.
Exploratory analysis of retail sales data to understand profitability, discounts, categories and business performance.
A machine learning project comparing regression models to predict profit margin and identify important business factors.
A web development project focused on creating an engaging and user-friendly digital experience.
An interactive dashboard transforming raw data into useful business insights using Power BI and DAX.
MY JOURNEY
Building a foundation in programming, databases, software development and computer science.
Learning Python, Pandas, NumPy, visualization and exploratory data analysis.
Exploring supervised learning, feature engineering and model evaluation through practical projects.
Continuing to build projects, strengthen technical skills and explore opportunities in data.
I'm always interested in learning, building and connecting with people working on interesting things.
Project description.