I am building practical skills and early projects to move from learning to working.
A collection of early projects and exercises that show my skills, experiments, and what I am learning as I prepare for professional work.
Extracted and cleaned financial data like revenue, net income, assets, liabilities from 10-K filings across 3 companies and 3 fiscal years using Python and pandas; calculated YoY growth rates and financial ratios; built a rule-based chatbot prototype in Python to answer predefined financial queries from extracted 10-K data.
Collected and analysed 2 weeks of line status data from the TfL Open Data API with Python to identify delay trends; built an interactive Power BI dashboard comparing delay frequency across all 11 Underground lines; implemented request throttling to stay within TfL's rate limits.
I am building practical skills and early projects to move from learning to working.
I am Hitanshu Bosamya. I have little formal work experience and am preparing to start my career. I am focused on learning practical skills and building projects that demonstrate what I can do.
Experience
Front of house staff
Kozzee Cafe · Apr 2026 - Present
Data Analyst Intern
Opera Pharma · May 2026 – Jul 2026
Education
University of Greenwich London, UK
Bachelor of Science in Computer Science · Class of 2028
Oshwal Senior High Nairobi, KE
Math, Computer Science, Economics · Class of 2025
Skills
Extracted and cleaned financial data like revenue, net income, assets, liabilities from 10-K filings across 3 companies and 3 fiscal years using Python and pandas; calculated YoY growth rates and financial ratios; built a rule-based chatbot prototype in Python to answer predefined financial queries from extracted 10-K data.
Collected and analysed 2 weeks of line status data from the TfL Open Data API with Python to identify delay trends; built an interactive Power BI dashboard comparing delay frequency across all 11 Underground lines; implemented request throttling to stay within TfL's rate limits.
Built and deployed a real-time cafe-finder web app using the Geoapify Places API and Leaflet.js; implemented browser geolocation, distance calculation, and a per-user favorites system persisted via localStorage; designed a responsive UI and deployed on GitHub Pages.