RANJIT ADHIKARI THAPA

A highly analytical and results-driven graduate with a First-Class Honours in MSc in Information Technology with Data Analytics and a from The University of West of the Scotland and BSc in Computer Science from the University of Wolverhampton. Proficient in Python, SQL, and Tableau for data analysis and visualisation, with a strong foundation in IT administration. Eager to apply a blend of technical expertise and analytical skills to a challenging role in the UK tech industry, contributing to data-driven solutions and system optimisation.

• Built ML models (Linear Regression, Random Forest, XGBoost, Neural Networks) using Python, Orange, and Tableau to analyze 2015–2024 data, identify key pricing factors, and predict UK housing prices with high accuracy.
• Face Detection Attendance System using Python, machine learning algorithms like Histogram of Oriented (HOG) and Support Vector Machine (SVM) with the accuracy of 97%
• Analysed the Electric Vehicle (EV) market on a team project. I used Python for data preparation and Tableau to create interactive dashboards that visualised market trends.
• Developed a Library Management System with a team, utilising a tech stack that included Python, SQL, and Git. My role involved building the core back-end functionality and database structure to handle all library operations.
• Developed machine learning models to predict stroke risk using patient data, achieving a 94% accuracy with Logistic Regression and Random Forest.

• Communication & Interpersonal Skills
• Problem-Solving & Critical Thinking
• Teamwork & Collaboration
• Organisation & Time Management
• Adaptability & Resilience