AF
Imadol, Lalitpur, Nepal — open to opportunities
I work across Python, SQL and full-stack web to turn messy datasets and rough ideas into things that run — analysis you can trust, and applications people can use.
Download full resumeI'm a BSc (Hons) Computing student at Islington College, affiliated with London Metropolitan University, with hands-on time in Python, SQL and data analysis from both coursework and a data analysis internship.
What I enjoy most is the middle ground between the two: cleaning a dataset until it tells the truth, then building the interface or pipeline that puts that truth in front of someone who can use it.
I'm currently looking for internship or junior roles where I can grow that habit into a career in data engineering — while staying close to full-stack work, which is where a lot of that data eventually has to live.
Python, Pandas, NumPy, SQL and Excel — cleaning, validating and visualizing datasets so they hold up under scrutiny.
React, Node.js, .NET and Java across MongoDB, MySQL and PostgreSQL — four applications built end to end.
Scikit-learn classification applied to a real fraud-detection dataset, backed by four AWS Academy certifications.
Islington College, London Metropolitan University · Kathmandu — three years covering the full arc from computing foundations to specialisation.
Kathmandu Model Secondary School · Balkumari, Lalitpur.
City Academy · Pannabag-5, Kalaiya.
ING Skill Academy — cleaned and analyzed datasets with Python and Excel, ran quality checks, and built reports and visualizations for business decisions.
ING Skill Academy — quality-checked branding materials across five partner colleges, coordinating with design teams.
ING Skill Academy — supported brand positioning and consistency across projects.
ING Skill Academy — guided visitors and handled inquiries with clear, professional communication.
A classification system that flags fraudulent job listings, built by preprocessing real-world postings and training and evaluating models on the results.
Preprocessed text fields, engineered features from listing metadata, and compared classifier performance to catch postings that don't match the pattern of a genuine job ad.
A rental platform for traditional dress with JWT authentication, booking management, image uploads and AI-based colour recommendations.
Handled the booking lifecycle end to end — availability, image uploads and secured routes — plus a recommendation feature that suggests colours to match a customer's outfit.
A journaling app with rich-text entries, mood tracking, categorisation and search, backed by local data persistence.
Built for one person, offline first: entries, moods and categories all persist locally through Entity Framework Core, with search across past entries.
An e-commerce site for a pharmacy with role-based auth, product and inventory management, and order processing for customers and admins.
Two roles, one system: customers browse and order while admins manage stock and fulfilment, with inventory levels kept in sync as orders move through.
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Core AWS services, cloud concepts and architecture fundamentals.
Pipeline design, storage and processing patterns on AWS.
Core machine learning concepts and workflows on AWS.
Applying machine learning techniques to natural language tasks.
Python fundamentals — syntax, data structures and control flow.
Working with datasets in Python — cleaning, shaping and summarising data.
The data science workflow, from question to insight.
The statistical concepts behind sound data analysis.
06 / 06 — Get in touch