RARishab Acharya
@rishabacharya
Analytical mathematics graduate skilled in data science and finance.
United KingdomWhat I'm looking for
I am a Pure-Mathematics graduate with strong foundations in applied statistics, machine learning, and quantitative finance. My experience includes over two years in client-facing roles within IT and finance operations, where I effectively managed stakeholder expectations and resolved technical issues. I am adept at building predictive models and developing end-to-end tools for real-time decision-making.
Currently pursuing my Master of Mathematics with Honours at the University of Edinburgh, I have engaged in various academic projects, including my Master’s thesis on changepoint detection algorithms applied to financial time series. My work has been recognized through the Edinburgh Award for Work Experience, showcasing my commitment to applying technical rigor and business acumen to solve complex problems in data science and financial modeling.
Experience
Work history, roles, and key accomplishments
Finance and IT Assistant
University of Edinburgh
Feb 2024 - Present (1 year 4 months)
Provided IT support to over 500 students, staff, and clients, efficiently resolving technical and financial issues using knowledge base systems like UniDesk and TopDesk. Maintained accuracy in handling invoices and reimbursements, ensuring strict compliance with university finance protocols.
Digital Learning Intern
University of Edinburgh
Jun 2023 - Aug 2023 (2 months)
Led the migration of over 30 course modules to Wooclap, automating workflows with Node.js and AutoHotKey to significantly improve efficiency. Enhanced platform accessibility by conducting User Acceptance Testing for Moodle 4 with extensive criteria and assessing AI captioning accuracy across multiple platforms.
Education
Degrees, certifications, and relevant coursework
TEThe University of Edinburgh
Master of Mathematics with Honours, Mathematics
Grade: Expected 1st Class Honours
Activities and societies: Served as UG School Representative (Mathematics) from 2023-2024, Student Ambassador and MathSoc Events Coordinator from 2022-2024, and Programme Representative (Year 2-3 Maths) from 2021-2023. Also acted as a MathClan Peer Leader from 2021-2023.
Studied a comprehensive curriculum including Bayesian Theory, Generalised Regression Models, Quantitative Finance, and Statistical Computing. Completed a Master’s thesis on Changepoint Detection Algorithms, applying them to financial time series for anomaly identification and validating model robustness. Also conducted Bachelor’s dissertation research on Non-Parametric Regression, investigating Ke
Availability
Location
United KingdomAuthorized to work in
Job categories
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